
Biel.ai
ai.biel由 biel.ai 發布官方發布者v2.0.0更新於 Oct 27, 2026
Query your product docs from AI tools. Source-cited answers from your indexed documentation.
概覽
Biel.ai MCP 伺服器,讓助理檢索你已索引的技術文件、讀取完整文件,並取得附來源引用的回答。
- 可以做什麼
- 對已索引文件進行關鍵字與語意混合檢索,涵蓋網頁、上傳檔案、程式碼儲存庫與 OpenAPI 來源
- 依檢索結果中的文件 ID 讀取完整索引文字,無須造訪原始網站
- 請 Biel.ai 產生附來源連結的對話式回答
- 回傳片段文字、來源類型、文件 ID 以及頁碼或工作表位置等引用資訊
- 適用情境
- 適合希望 Claude Code、Codex、Cursor 或 ChatGPT 等 AI 用戶端,依據你自己的產品或 API 文件並附上引用來源來回答問題的情境。
- 執行需求
- 需要 mcp.biel.ai 的遠端 Streamable HTTP 端點,並在包含此功能的 Biel.ai 方案中啟用託管 MCP,另需 Biel.ai 帳號與已索引的來源。公開專案不需金鑰;私有專案需在 URL 中提供具 search 與 chats_create 權限的 api_key 查詢參數,設定允許網域時還需 domain 參數。不支援原生 HTTP 的用戶端需透過 mcp-remote 等橋接。也可選擇以 Python 套件或 Docker 自行架設。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Biel.ai,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Biel.ai turns technical documentation into answers for users and context for AI agents, with links back to the sources. This MCP server connects Claude Code, Codex, Cursor, and other compatible clients to documentation indexed in a Biel.ai project.
The usual workflow is to search for relevant content, retrieve indexed documents when more context is needed, and answer in the calling AI assistant. Biel.ai can also generate an answer when you explicitly request one. Source grounding does not eliminate model error; check the retrieved content and references.
Requires a Biel.ai account, indexed sources, and hosted MCP enabled on a plan that includes it. Create an account and follow the MCP setup guide.
Getting started
1. Enable MCP and copy your endpoint
Open your project in Biel.ai, go to Settings > MCP, enable the MCP server, and save. Copy the complete endpoint supplied for your project.
2. Connect your AI client
Use the canonical documentation for client-specific steps:
- Connect technical documentation to Claude Code.
- Connect technical documentation to Codex.
- Connect ChatGPT or Claude.
- For Cursor and VS Code / Copilot, use the widget's Connect menu or the manual setup guide.
The example configuration uses mcp-remote as a bridge for clients without native Streamable HTTP support. Clients with native HTTP support should connect directly using their own configuration format.
3. Verify retrieval
Confirm the client discovers biel_search, biel_get_document, and biel_ai. Ask a question your indexed documentation covers:
Check the retrieved text and citations against the documentation. MCP serves indexed content; refresh sources in Biel.ai after documentation changes and search again for current document IDs.
Choose generated answers or search
The server exposes three tools:
biel_ai: ask Biel.ai to generate an answer, with conversational context. Existing calls usingmessagecontinue to generate answers.biel_search: hybrid keyword and semantic search over indexed web pages, uploaded files, repositories and OpenAPI sources, without answer generation.biel_get_document: read the complete indexed text of a document returned by search.
Call biel_search with a natural-language question or search terms:
Search requests the API's search_type=hybrid&source_types=all. The REST API defaults to search_type=keyword, independently of the selected sources. Results include chunk text, source type, a document_id, and any page/sheet reference; non-URL documents are cited by title and location. The limit argument controls how many chunks are returned (default 5, maximum 20).
Use biel_get_document with a search result's document_id to read the complete indexed document without visiting its source site:
Troubleshooting
Public projects do not need an API key. Private projects require an api_key query parameter with search permission for retrieval and chats_create for generated answers.
A domain query parameter is needed when allowed domains are configured. See connection parameters before connecting a private or domain-restricted project. Treat a URL containing a key as a credential and keep it out of shared configuration.
Self-hosting (Optional)
For advanced users who prefer to run their own MCP server instance:
Local development
Use as a Python package
Applications that host their own ASGI stack can install the server directly from a tagged revision and import its FastAPI application:
Docker deployment
Support
- Issues: GitHub Issues
- Contact: [email protected]
- Custom Demo: Book a demo
來源:README.md,提交 2337554
工具
0版本歷史
1- v2.0.0最新Sep 16, 2026
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