diff --git a/server/mcp_server_knowledgebase/README.md b/server/mcp_server_knowledgebase/README.md index 06334bfa..ab230ac6 100644 --- a/server/mcp_server_knowledgebase/README.md +++ b/server/mcp_server_knowledgebase/README.md @@ -12,7 +12,7 @@ allowing you to add doc to your collections and get doc processing info by doc_i ### Prerequisites - Python 3.10 or higher -- API credentials (AK/SK) +- A Viking Knowledge Base API key or VolcEngine AK/SK credentials ### Installation @@ -30,21 +30,31 @@ uv pip install -e . ### Configuration -The server requires the following environment variables: +The server requires at least one authentication method: -- `VOLCENGINE_ACCESS_KEY`: Your VolcEngine access key -- `VOLCENGINE_SECRET_KEY`: Your VolcEngine secret key +- API key: set `VIKING_API_KEY`. Requests use + `Authorization: Bearer `. +- AK/SK: set both `VOLCENGINE_ACCESS_KEY` and `VOLCENGINE_SECRET_KEY`. + Requests use VolcEngine SignerV4 authentication. + +When both methods are configured, `VIKING_API_KEY` takes precedence and AK/SK +is ignored. When no API key is configured, AK and SK must be provided together. +The server rejects configurations with no usable authentication method. Optional environment variables: -- `KNOWLEDGE_BASE_PROJECT`: Your viking knowledge base project name -- `KNOWLEDGE_BASE_REGION`: Your viking knowledge base region,if not provided, will use `cn-north-1` as default -- `PORT`: Port for the FastMCP server (default: 8000) +- `KNOWLEDGE_BASE_PROJECT`: Viking Knowledge Base project name (default: `default`) +- `KNOWLEDGE_BASE_REGION`: Viking Knowledge Base region (default: `cn-north-1`) +- `MCP_SERVER_HOST`: Streamable HTTP bind host (default: `127.0.0.1`) +- `MCP_SERVER_PORT`: Streamable HTTP port; falls back to `PORT` (default: `8000`) +- `STREAMABLE_HTTP_PATH`: Streamable HTTP endpoint path (default: `/mcp`) +- `KNOWLEDGE_BASE_TIMEOUT`: Upstream request timeout in seconds (default: `30`) ## Usage ### Running the Server -The server can be run with either stdio transport (for MCP integration) or SSE transport: +The server supports stdio for local integrations and stateless Streamable HTTP +for remote deployments: ```bash python -m mcp_server_knowledgebase.server --transport stdio @@ -53,9 +63,25 @@ python -m mcp_server_knowledgebase.server --transport stdio Or: ```bash -python -m mcp_server_knowledgebase.server --transport sse +python -m mcp_server_knowledgebase.server --transport streamable-http ``` +The Streamable HTTP endpoint is `http://127.0.0.1:8000/mcp` by default. +Set `MCP_SERVER_HOST=0.0.0.0` when running behind a trusted gateway. + +### MCP protocol compatibility + +This server uses MCP Python SDK 2.x and speaks protocol revision `2026-07-28`. +Modern clients use the stateless per-request protocol and `server/discover`; +the same process also supports older handshake-based clients automatically. +Legacy HTTP+SSE is intentionally not exposed because it is deprecated by the +`2026-07-28` specification. + +The HTTP endpoint does not turn the configured API key or VolcEngine AK/SK into +client authentication. Protect remote deployments with an authentication +gateway or MCP-compatible OAuth, and never expose the service credentials to +callers. + ### Available Tools #### add_doc @@ -66,7 +92,7 @@ Add a document to a collection in your project. add_doc( collection_name="collection_name", add_type="url", - doc_id="_mcp_server_auto_gen_doc_id_xxxxxxx", + doc_id="mcp_server_auto_gen_doc_id_xxxxxxx", doc_name="doc_xxxx", doc_type="pdf", url="http://xxxxx.pdf" @@ -76,8 +102,8 @@ add_doc( Parameters: - `collection_name` (required): the name of the collection you want to add document . - `add_type` (required): the type of the document to add. so far only support "url" now. -- `doc_id` (required): you should generate a unique doc_id based on user's given url and timestamp, the doc_id can only use English letters, numbers, and underscores , and must start with an English letter. It cannot be empty. Length requirement: [1, 128], you can use a format like "_mcp_server_auto_gen_doc_id_xxxxxxx. -- `doc_name` (required): the name of the document to add. you can1 generate a unique doc_name based on user given url and timestamp. the length of doc_name must between 1 and 256. you can use a format like "_mcp_server_auto_gen_doc_name_xxxxxxx. +- `doc_id` (required): you should generate a unique doc_id based on user's given url and timestamp, the doc_id can only use English letters, numbers, and underscores , and must start with an English letter. It cannot be empty. Length requirement: [1, 128], you can use a format like "mcp_server_auto_gen_doc_id_xxxxxxx". +- `doc_name` (required): the name of the document to add. You can generate a unique doc_name based on the user-provided URL and timestamp. The length of doc_name must be between 1 and 256; for example, "mcp_server_auto_gen_doc_name_xxxxxxx". - `doc_type` (required): the type of the document to add. for structured document, we support xlsx, csv,jsonl, for unstructured document, wu support txt, doc, docx, pdf, markdown, faq.xlsx, pptx". you should judge the doc_type based on user's given url and judge if we support this doc type. if supported, assign this parameter. - `url` (required): the url of the document to add. user should give a valid url, we will add the doc to the collection. @@ -88,7 +114,7 @@ Get information about document by collection_name and doc_id . ```python get_doc( collection_name="collection_name", - doc_id="_mcp_server_auto_gen_doc_id_xxxxxxx", + doc_id="mcp_server_auto_gen_doc_id_xxxxxxx", ) ``` @@ -128,19 +154,24 @@ Search for knowledge in the configured collection based on a query. search_knowledge( query="How to reset my password?", limit=3, - collection_name=None, + collection_name="collection_name", doc_filter=None, ) ``` Parameters: - `query` (required): The search query string -- `limit` (optional): Maximum number of results to return (default: 3) -- `collection_name` (optional): Knowledge base collection name to search. If not provided, llm will choose some collections to search based on the description of collection +- `limit` (optional): Maximum number of results to return, from 1 to 100 (default: 3) +- `collection_name` (required): Knowledge Base collection name to search - `doc_filter` (optional): the filter is used to filter search results(default: None), which is structured as a JSON object with the following key components: - `op` (string, required): specifies the query operator that defines the filtering logic. Valid values are 'must' and 'must_not', 'must' means results must satisfy the condition (inclusion filter),'must_not' means results must not satisfy the condition (exclusion filter). - `field` (string, required): indicates the specific document field to apply the filter on (e.g., "doc_id"). - `conds` (array, required): contains the concrete values used for filtering. The data type of elements in the array depends on the field. + +Each result contains the chunk `id` and `content`, plus the source document's +`doc_id` and `doc_name`. The metadata fields are `null` when Viking does not +provide them. A non-null `doc_id` can be passed directly to `get_doc`. + ## MCP Integration To add this server to your MCP configuration, add the following to your MCP settings file: @@ -152,12 +183,11 @@ To add this server to your MCP configuration, add the following to your MCP sett "command": "uvx", "args": [ "--from", - "git+https://github.com/volcengine/mcp-server#subdirectory=server/mcp_server_knowledgebase", + "mcp-server-knowledgebase>=0.2.0", "mcp-server-knowledgebase" - ], + ], "env": { - "VOLCENGINE_ACCESS_KEY": "your-access-key", - "VOLCENGINE_SECRET_KEY": "your-secret-key", + "VIKING_API_KEY": "your-viking-api-key", "KNOWLEDGE_BASE_PROJECT": "your-project-name", "KNOWLEDGE_BASE_REGION": "your-region" } @@ -166,12 +196,17 @@ To add this server to your MCP configuration, add the following to your MCP sett } ``` +You may alternatively or additionally configure both +`VOLCENGINE_ACCESS_KEY` and `VOLCENGINE_SECRET_KEY`. If all three variables are +set, `VIKING_API_KEY` takes precedence. + ## Troubleshooting ### Common Issues 1. **Authentication Errors** - - Verify your AK/SK credentials are correct + - Verify your API key or AK/SK credentials are correct + - Ensure at least one authentication method is configured - Check that you have the necessary permissions for the collection 2. **Connection Timeouts** diff --git a/server/mcp_server_knowledgebase/README_zh.md b/server/mcp_server_knowledgebase/README_zh.md index c6b93367..25c12a2e 100644 --- a/server/mcp_server_knowledgebase/README_zh.md +++ b/server/mcp_server_knowledgebase/README_zh.md @@ -20,7 +20,7 @@ Viking Knowledge Base MCP Server 是一个模型上下文协议(Model Context Pr ### 前置准备 - Python 3.10+ - UV -- API credentials (AK/SK) +- 知识库 API Key 或火山引擎 AK/SK ### 安装 克隆仓库: @@ -36,10 +36,20 @@ git clone git@github.com:volcengine/mcp-server.git cd mcp-server/server/mcp_server_knowledgebase uv run mcp-server-knowledgebase -# 使用sse模式启动(默认为stdio) -uv run mcp-server-knowledgebase -t sse +# 使用无状态 Streamable HTTP 模式启动（默认为 stdio） +uv run mcp-server-knowledgebase -t streamable-http ``` +Streamable HTTP 默认地址为 `http://127.0.0.1:8000/mcp`。在可信网关后部署时， +可设置 `MCP_SERVER_HOST=0.0.0.0`。 + +Server 使用 MCP Python SDK 2.x，支持 `2026-07-28` 协议修订版及 +`server/discover` 无状态协商，同时由 SDK 自动兼容旧版握手客户端。 +旧 HTTP+SSE 已被新协议弃用，因此本 Server 不再提供 SSE 启动模式。 + +Streamable HTTP 本身不会把知识库 API Key 或火山引擎 AK/SK 转换成 MCP 调用方认证。 +远程部署必须放在认证网关之后或接入兼容 MCP 的 OAuth，且不得向调用方暴露服务凭证。 + 使用客户端与服务器交互: ``` Trae | Cursor ｜ Claude Desktop | Cline | ... @@ -49,15 +59,26 @@ Trae | Cursor ｜ Claude Desktop | Cline | ... ### 环境变量 +鉴权至少需要配置一种方式：配置 `VIKING_API_KEY`，或同时配置 +`VOLCENGINE_ACCESS_KEY` 和 `VOLCENGINE_SECRET_KEY`。API Key 模式会通过 +`Authorization: Bearer ` 请求头鉴权；AK/SK 模式继续使用 +SignerV4。两种方式可以同时配置，此时 `VIKING_API_KEY` 优先，AK/SK 会被 +忽略。未配置 API Key 时，AK 和 SK 必须同时提供；没有可用鉴权方式时服务将 +启动失败。 + 以下环境变量可用于配置MCP服务器: | 环境变量 | 描述 | 默认值 | |--------------------------|-----------------|-------| +| `VIKING_API_KEY` | 知识库 API Key（配置时优先使用） | - | | `VOLCENGINE_ACCESS_KEY` | 火山引擎账号ACCESSKEY | - | | `VOLCENGINE_SECRET_KEY` | 火山引擎账号SECRETKEY | - | -| `KNOWLEDGE_BASE_PROJECT` | 知识库所属项目 | - | +| `KNOWLEDGE_BASE_PROJECT` | 知识库所属项目 | `default` | | `KNOWLEDGE_BASE_REGION` | 知识库区域 | cn-north-1 | -| `PORT` | MCP server监听端口 | `8000` | +| `MCP_SERVER_HOST` | Streamable HTTP 监听地址 | `127.0.0.1` | +| `MCP_SERVER_PORT` | Streamable HTTP 端口（兼容 `PORT`） | `8000` | +| `STREAMABLE_HTTP_PATH` | Streamable HTTP 路径 | `/mcp` | +| `KNOWLEDGE_BASE_TIMEOUT` | 上游请求超时（秒） | `30` | ## 可用工具 @@ -76,7 +97,7 @@ Knowledge Base MCP Server 提供以下功能 add_doc( collection_name="collection_name", add_type="url", - doc_id="_mcp_server_auto_gen_doc_id_xxxxxxx", + doc_id="mcp_server_auto_gen_doc_id_xxxxxxx", doc_name="doc_xxxx", doc_type="pdf", url="http://xxxxx.pdf" @@ -96,7 +117,7 @@ Parameters: ```python get_doc( collection_name="collection_name", - doc_id="_mcp_server_auto_gen_doc_id_xxxxxxx", + doc_id="mcp_server_auto_gen_doc_id_xxxxxxx", ) ``` @@ -128,14 +149,18 @@ list_collections() search_knowledge( query="How to reset my password?", limit=3, - collection_name=None + collection_name="collection_name" ) ``` Parameters: - `query` (必须): 搜索查询字符串 -- `limit` (可选): 返回的最大结果数（默认值：3） -- `collection_name` (可选): 要搜索的知识库名称。如果未提供，LLM将根据您账号列表下的知识库描述选择自动选择要搜索的知识库 +- `limit` (可选): 返回的最大结果数，范围 1–100（默认值：3） +- `collection_name` (必须): 要搜索的知识库名称 + +每条结果包含分块的 `id`、`content`，以及来源文档的 `doc_id` 和 +`doc_name`；Viking 未提供文档元数据时，这两个字段为 `null`。非空的 +`doc_id` 可以直接传给 `get_doc`。 ### uvx 启动 @@ -146,12 +171,11 @@ Parameters: "command": "uvx", "args": [ "--from", - "git+https://github.com/volcengine/mcp-server#subdirectory=server/mcp_server_knowledgebase", + "mcp-server-knowledgebase>=0.2.0", "mcp-server-knowledgebase" - ], + ], "env": { - "VOLCENGINE_ACCESS_KEY": "your-access-key", - "VOLCENGINE_SECRET_KEY": "your-secret-key", + "VIKING_API_KEY": "your-viking-api-key", "KNOWLEDGE_BASE_PROJECT": "your-project-name", "KNOWLEDGE_BASE_REGION": "your-region" } @@ -160,5 +184,8 @@ Parameters: } ``` +也可以额外或改为同时配置 `VOLCENGINE_ACCESS_KEY` 和 +`VOLCENGINE_SECRET_KEY`。三个变量均配置时，优先使用 `VIKING_API_KEY`。 + ## 证书 volcengine/mcp-server is licensed under the [MIT License](https://github.com/volcengine/mcp-server/blob/main/LICENSE). diff --git a/server/mcp_server_knowledgebase/pyproject.toml b/server/mcp_server_knowledgebase/pyproject.toml index d94cc8b8..1f2b159c 100644 --- a/server/mcp_server_knowledgebase/pyproject.toml +++ b/server/mcp_server_knowledgebase/pyproject.toml @@ -1,15 +1,14 @@ [project] name = "mcp-server-knowledgebase" -version = "0.1.0" +version = "0.2.0" description = "MCP server for Viking Knowledge Base Service" readme = "README.md" requires-python = ">=3.10" license = {text = "MIT"} dependencies = [ - "mcp[cli]>=1.5.0", + "mcp[cli]>=2.1.1,<3", "volcengine>=1.0.171", "aiohttp>=3.11.14", - "deprecated>=1.2.18", ] [project.scripts] @@ -18,4 +17,3 @@ mcp-server-knowledgebase = "mcp_server_knowledgebase.server:main" [build-system] requires = ["hatchling"] build-backend = "hatchling.build" - diff --git a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/common/auth.py b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/common/auth.py index 4b6c864f..317b2391 100644 --- a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/common/auth.py +++ b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/common/auth.py @@ -1,13 +1,24 @@ import json -import sys -import requests from volcengine.auth.SignerV4 import SignerV4 from volcengine.base.Request import Request from volcengine.Credentials import Credentials from mcp_server_knowledgebase.config import config -def prepare_request(method, path, ak, sk, params=None, data=None, doseq=0): + +def prepare_request( + method, path, ak=None, sk=None, params=None, data=None, doseq=0, *, api_key=None +): + ak = ak.strip() if isinstance(ak, str) else ak + sk = sk.strip() if isinstance(sk, str) else sk + api_key = api_key.strip() if isinstance(api_key, str) else api_key + + if not api_key: + if bool(ak) != bool(sk): + raise ValueError("AK and SK must be configured together") + if not ak or not sk: + raise ValueError("Configure an authentication method: VIKING_API_KEY or AK/SK") + if params: for key in params: if ( @@ -28,12 +39,15 @@ def prepare_request(method, path, ak, sk, params=None, data=None, doseq=0): "Accept": "application/json", "Content-Type": "application/json", } + if api_key: + mheaders["Authorization"] = f"Bearer {api_key}" r.set_headers(mheaders) if params: r.set_query(params) r.set_path(path) if data is not None: r.set_body(json.dumps(data)) - credentials = Credentials(ak, sk, "air", config.region) - SignerV4.sign(r, credentials) - return r \ No newline at end of file + if not api_key: + credentials = Credentials(ak, sk, "air", config.region) + SignerV4.sign(r, credentials) + return r diff --git a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/config.py b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/config.py index 69a9581a..04002c26 100644 --- a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/config.py +++ b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/config.py @@ -1,5 +1,5 @@ -import os import logging +import os from dataclasses import dataclass from typing import Optional @@ -9,34 +9,48 @@ @dataclass class KnowledgeBaseConfig: """Configuration for Viking Knowledge Base MCP Server.""" - ak: str - sk: str + + ak: Optional[str] = None + sk: Optional[str] = None project: Optional[str] = None region: str = "cn-north-1" + api_key: Optional[str] = None + + +def _credential_from_env(name: str) -> Optional[str]: + value = os.environ.get(name) + if value is None: + return None + return value.strip() or None def load_config() -> KnowledgeBaseConfig: """Load configuration from environment variables.""" - required_vars = [ - "VOLCENGINE_ACCESS_KEY", - "VOLCENGINE_SECRET_KEY", - "KNOWLEDGE_BASE_PROJECT", - "KNOWLEDGE_BASE_REGION", - ] - - # Check if all required environment variables are set - missing_vars = [var for var in required_vars if not os.environ.get(var)] - if missing_vars: - error_msg = f"Missing required environment variables: {', '.join(missing_vars)}" + ak = _credential_from_env("VOLCENGINE_ACCESS_KEY") + sk = _credential_from_env("VOLCENGINE_SECRET_KEY") + api_key = _credential_from_env("VIKING_API_KEY") + + if not api_key and bool(ak) != bool(sk): + error_msg = ( + "VOLCENGINE_ACCESS_KEY and VOLCENGINE_SECRET_KEY must be configured together" + ) + logger.error(error_msg) + raise ValueError(error_msg) + + if not api_key and not (ak and sk): + error_msg = ( + "Configure an authentication method: VIKING_API_KEY or " + "VOLCENGINE_ACCESS_KEY with VOLCENGINE_SECRET_KEY" + ) logger.error(error_msg) raise ValueError(error_msg) - # Load configuration from environment variables return KnowledgeBaseConfig( - ak=os.environ["VOLCENGINE_ACCESS_KEY"], - sk=os.environ["VOLCENGINE_SECRET_KEY"], - project=os.environ.get("KNOWLEDGE_BASE_PROJECT","default"), - region=os.environ.get("KNOWLEDGE_BASE_REGION", "cn-north-1") + ak=ak, + sk=sk, + api_key=api_key, + project=os.environ.get("KNOWLEDGE_BASE_PROJECT", "default"), + region=os.environ.get("KNOWLEDGE_BASE_REGION", "cn-north-1"), ) diff --git a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/models.py b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/models.py new file mode 100644 index 00000000..b184567b --- /dev/null +++ b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/models.py @@ -0,0 +1,66 @@ +from typing import Any, Literal, Optional + +from pydantic import BaseModel, ConfigDict, Field + + +class DocFilter(BaseModel): + """Filter applied to Viking Knowledge Base search results.""" + + op: Literal["must", "must_not"] + field: str = Field(min_length=1) + conds: list[Any] = Field(min_length=1) + + +class AddDocumentResult(BaseModel): + collection_name: str + doc_id: str + + +class DocumentStatus(BaseModel): + model_config = ConfigDict(extra="allow") + + process_status: Optional[int] = None + failed_code: Optional[str] = None + + +class DocumentInfo(BaseModel): + """Known document fields; extra upstream fields are preserved.""" + + model_config = ConfigDict(extra="allow") + + collection_name: Optional[str] = None + doc_id: Optional[str] = None + doc_name: Optional[str] = None + doc_type: Optional[str] = None + url: Optional[str] = None + add_type: Optional[str] = None + create_time: Optional[int] = None + update_time: Optional[int] = None + point_num: Optional[int] = None + status: Optional[DocumentStatus] = None + + +class CollectionInfoResult(BaseModel): + collection_name: str + description: str + status: int + + +class CollectionSummary(BaseModel): + collection_name: str + description: str + + +class ListCollectionsResult(BaseModel): + collection_list: list[CollectionSummary] + + +class SearchChunk(BaseModel): + id: str + content: str + doc_id: Optional[str] = None + doc_name: Optional[str] = None + + +class SearchKnowledgeResult(BaseModel): + result_list: list[SearchChunk] diff --git a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/server.py b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/server.py index 0537001a..ba58f8dc 100644 --- a/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/server.py +++ b/server/mcp_server_knowledgebase/src/mcp_server_knowledgebase/server.py @@ -1,12 +1,27 @@ import argparse import logging import os -import requests +from typing import Annotated, Any, Dict, Literal, Optional + +import aiohttp +from mcp.server import MCPServer +from mcp.server.caching import CacheHint +from mcp.server.mcpserver.exceptions import ToolError +from mcp.types import ToolAnnotations +from pydantic import Field -from typing import Dict, Optional, Final, Any -from mcp.server import FastMCP -from mcp_server_knowledgebase.config import config from mcp_server_knowledgebase.common.auth import prepare_request +from mcp_server_knowledgebase.config import config +from mcp_server_knowledgebase.models import ( + AddDocumentResult, + CollectionInfoResult, + CollectionSummary, + DocFilter, + DocumentInfo, + ListCollectionsResult, + SearchChunk, + SearchKnowledgeResult, +) logger = logging.getLogger(__name__) logging.basicConfig( @@ -24,18 +39,80 @@ doc_info_path = "/api/knowledge/doc/info" # Create MCP server -mcp = FastMCP("Knowledgebase MCP Server", port=int(os.getenv("PORT", "8000")), - streamable_http_path=os.getenv("STREAMABLE_HTTP_PATH", "/mcp")) - -@mcp.tool() -def add_doc( - collection_name:str, - add_type:str, - doc_id: str, - doc_name: str, - doc_type: str, - url: str, -) -> Dict: +mcp = MCPServer( + "Knowledgebase MCP Server", + version="0.2.0", + cache_hints={"tools/list": CacheHint(ttl_ms=300_000, scope="public")}, +) + + +def _transport_options(transport: str) -> Dict[str, Any]: + """Build transport-specific options accepted by MCP SDK v2.""" + if transport == "stdio": + return {} + if transport != "streamable-http": + raise ValueError(f"Unsupported transport: {transport}") + return { + "host": os.getenv("MCP_SERVER_HOST", "127.0.0.1"), + "port": int(os.getenv("MCP_SERVER_PORT") or os.getenv("PORT", "8000")), + "streamable_http_path": os.getenv("STREAMABLE_HTTP_PATH", "/mcp"), + "stateless_http": True, + "json_response": True, + } + + +async def _request_knowledgebase(path: str, data: Dict[str, Any]) -> Dict[str, Any]: + """Send one signed request without blocking the MCP event loop.""" + request = prepare_request( + method="POST", + path=path, + ak=config.ak, + sk=config.sk, + api_key=config.api_key, + data=data, + ) + timeout = aiohttp.ClientTimeout(total=float(os.getenv("KNOWLEDGE_BASE_TIMEOUT", "30"))) + async with aiohttp.ClientSession(timeout=timeout) as session: + async with session.request( + method=request.method, + url=f"https://{g_knowledge_base_domain}{request.path}", + headers=request.headers, + data=request.body, + ) as response: + response.raise_for_status() + return await response.json() + + +@mcp.tool( + annotations=ToolAnnotations( + readOnlyHint=False, + destructiveHint=False, + idempotentHint=False, + openWorldHint=True, + ) +) +async def add_doc( + collection_name: Annotated[str, Field(min_length=1)], + add_type: Literal["url"], + doc_id: Annotated[ + str, + Field(min_length=1, max_length=128, pattern=r"^[A-Za-z][A-Za-z0-9_]*$"), + ], + doc_name: Annotated[str, Field(min_length=1, max_length=256)], + doc_type: Literal[ + "xlsx", + "csv", + "jsonl", + "txt", + "doc", + "docx", + "pdf", + "markdown", + "faq.xlsx", + "pptx", + ], + url: Annotated[str, Field(min_length=1)], +) -> AddDocumentResult: """ Add a document to a collection in your project. This tool allows you to add a document to a collection in your project by collection_name. @@ -69,37 +146,29 @@ def add_doc( "url": url, } - doc_add_req = prepare_request(method="POST", path=doc_add_path, ak=config.ak, sk=config.sk, data=request_params) - rsp = requests.request( - method=doc_add_req.method, - url="https://{}{}".format(g_knowledge_base_domain, doc_add_req.path), - headers=doc_add_req.headers, - data=doc_add_req.body) - - result = rsp.json() + result = await _request_knowledgebase(doc_add_path, request_params) if result['code'] != 0: logger.error(f"Error in add_doc: {result['message']}") - return {"error": result['message']} + raise ToolError(result['message']) doc_add_data = result['data'] if not doc_add_data: raise ValueError(f"doc {doc_id} has no data.") - return { - "collection_name": collection_name, - "doc_id": doc_id, - } + return AddDocumentResult(collection_name=collection_name, doc_id=doc_id) + except ToolError: + raise except Exception as e: logger.error(f"Error in add_doc: {str(e)}") - return {"error": str(e)} + raise ToolError(str(e)) from e -@mcp.tool() -def get_doc( - collection_name: str, - doc_id: str, -) -> Dict: +@mcp.tool(annotations=ToolAnnotations(readOnlyHint=True, openWorldHint=True)) +async def get_doc( + collection_name: str, + doc_id: str, +) -> DocumentInfo: """ Get information about a document from your collection. This tool allows you to get information about a document from your project by collection_name and doc_id. @@ -136,33 +205,28 @@ def get_doc( "doc_id": doc_id, } - doc_info_req = prepare_request(method="POST", path=doc_info_path, ak=config.ak, sk=config.sk, data=request_params) - rsp = requests.request( - method=doc_info_req.method, - url="https://{}{}".format(g_knowledge_base_domain, doc_info_req.path), - headers=doc_info_req.headers, - data=doc_info_req.body) - - result = rsp.json() + result = await _request_knowledgebase(doc_info_path, request_params) if result['code'] != 0: - logger.error(f"Error in add_doc: {result['message']}") - return {"error": result['message']} + logger.error(f"Error in get_doc: {result['message']}") + raise ToolError(result['message']) doc_info_data = result['data'] if not doc_info_data: raise ValueError(f"doc {doc_id} not found.") - return doc_info_data + return DocumentInfo.model_validate(doc_info_data) + except ToolError: + raise except Exception as e: logger.error(f"Error in get_doc: {str(e)}") - return {"error": str(e)} + raise ToolError(str(e)) from e -@mcp.tool() -def get_collection( - collection_name: str, -) -> Dict: +@mcp.tool(annotations=ToolAnnotations(readOnlyHint=True, openWorldHint=True)) +async def get_collection( + collection_name: str, +) -> CollectionInfoResult: """ Get information about a collection from your project. This tool allows you to get information about a collection from your project by collection_name. @@ -191,36 +255,30 @@ def get_collection( "project": config.project, } - get_collection_req = prepare_request(method="POST", path=get_collections_path, ak=config.ak, sk=config.sk, data=request_params) - rsp = requests.request( - method=get_collection_req.method, - url="https://{}{}".format(g_knowledge_base_domain, get_collection_req.path), - headers=get_collection_req.headers, - data=get_collection_req.body) - - result = rsp.json() + result = await _request_knowledgebase(get_collections_path, request_params) if result['code'] != 0: logger.error(f"Error in search_knowledge: {result['message']}") - return {"error": result['message']} + raise ToolError(result['message']) collection_info = result['data'] if not collection_info: raise ValueError(f"Collection {collection_name} not found.") - return { - "collection_name": collection_info["collection_name"], - "description": collection_info["description"], - "status": collection_info["pipeline_list"][0]["index_list"][0]["status"] - } + return CollectionInfoResult( + collection_name=collection_info["collection_name"], + description=collection_info["description"], + status=collection_info["pipeline_list"][0]["index_list"][0]["status"], + ) + except ToolError: + raise except Exception as e: logger.error(f"Error in get_collection: {str(e)}") - return {"error": str(e)} + raise ToolError(str(e)) from e -@mcp.tool() -def list_collections( -) -> Dict: +@mcp.tool(annotations=ToolAnnotations(readOnlyHint=True, openWorldHint=True)) +async def list_collections() -> ListCollectionsResult: """ List all collections of the globally configured project from the Viking Knowledgebase service. This tool allows you to list all collections in the Viking Knowledgebase service. @@ -237,46 +295,39 @@ def list_collections( "project": config.project, } - list_collections_req = prepare_request(method="POST", path=list_collections_path, ak=config.ak, sk=config.sk, data=request_params) - rsp = requests.request( - method=list_collections_req.method, - url="https://{}{}".format(g_knowledge_base_domain, list_collections_req.path), - headers=list_collections_req.headers, - data=list_collections_req.body) - - result = rsp.json() + result = await _request_knowledgebase(list_collections_path, request_params) if result['code'] != 0: logger.error(f"Error in list_collections: {result['message']}") - return {"error": result['message']} + raise ToolError(result['message']) - collections =result['data']['collection_list'] - if not collections: - raise ValueError(f"No collections found in project {config.project}.") + collections = result['data']['collection_list'] collection_list = [] for collection in collections: - collection_list.append({ - "collection_name": collection["collection_name"], - "description": collection["description"], - }) + collection_list.append( + CollectionSummary( + collection_name=collection["collection_name"], + description=collection["description"], + ) + ) - return { - "collection_list": collection_list, - } + return ListCollectionsResult(collection_list=collection_list) + except ToolError: + raise except Exception as e: logger.error(f"Error in list_collections: {str(e)}") - return {"error": str(e)} + raise ToolError(str(e)) from e -@mcp.tool() -def search_knowledge( - query: str, - collection_name: str, - limit: int = 3, - doc_filter: dict = None, -) -> Dict: +@mcp.tool(annotations=ToolAnnotations(readOnlyHint=True, openWorldHint=True)) +async def search_knowledge( + query: str, + collection_name: str, + limit: Annotated[int, Field(ge=1, le=100)] = 3, + doc_filter: Optional[DocFilter] = None, +) -> SearchKnowledgeResult: """Search knowledge from the Viking Knowledgebase service And return Top limit related chunks of your query. This tool allows you to search knowledge in provided collection based on the given query. @@ -297,6 +348,8 @@ def search_knowledge( A list of search results. id: the id of the knowledge base chunk. content: the content of the knowledge base chunk. + doc_id: the id of the document containing the chunk, when available. + doc_name: the name of the document containing the chunk, when available. """ try: @@ -312,42 +365,36 @@ def search_knowledge( if doc_filter: request_params['query_param'] = { - "doc_filter": doc_filter, + "doc_filter": doc_filter.model_dump(mode="json"), } - search_req = prepare_request(method="POST", path=search_knowledge_path, ak=config.ak, sk=config.sk, data=request_params) - logger.debug("search param: {}".format(search_req.body)) - rsp = requests.request( - method=search_req.method, - url="https://{}{}".format(g_knowledge_base_domain, search_req.path), - headers=search_req.headers, - data=search_req.body) - - result = rsp.json() + result = await _request_knowledgebase(search_knowledge_path, request_params) if result['code'] != 0: logger.error(f"Error in search_knowledge: {result['message']}") - return {"error": result['message']} - - if not result['data']['result_list']: - raise ValueError(f"No results found for collection {collection_name}") + raise ToolError(result['message']) - - chunks = result['data']['result_list'] + chunks = result['data'].get('result_list', []) search_result = [] for chunk in chunks: - search_result.append({ - "id": chunk["id"], - "content": chunk["content"], - }) - - return { - "result_list": search_result, - } + raw_doc_info = chunk.get("doc_info") + doc_info = raw_doc_info if isinstance(raw_doc_info, dict) else {} + search_result.append( + SearchChunk( + id=chunk["id"], + content=chunk["content"], + doc_id=doc_info.get("doc_id"), + doc_name=doc_info.get("doc_name"), + ) + ) + + return SearchKnowledgeResult(result_list=search_result) + except ToolError: + raise except Exception as e: logger.error(f"Error in search_knowledge: {str(e)}") - return {"error": str(e)} + raise ToolError(str(e)) from e def main(): @@ -356,21 +403,19 @@ def main(): parser.add_argument( "--transport", "-t", - choices=["sse", "stdio"], + choices=["stdio", "streamable-http"], default="stdio", - help="Transport protocol to use (sse or stdio)", + help="Transport protocol to use (stdio or streamable-http)", ) args = 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