
Biel.ai
ai.bielPublished by biel.aiOfficial publisherv2.0.0Updated Oct 27, 2026
Query your product docs from AI tools. Source-cited answers from your indexed documentation.
Overview
Biel.ai MCP server that lets an assistant search your indexed technical documentation, read full documents, and get source-cited answers.
- What you can do
- Search indexed docs with hybrid keyword and semantic search across web pages, uploaded files, repositories and OpenAPI sources
- Read the complete indexed text of a document returned by search, without visiting its source site
- Ask Biel.ai to generate a conversational answer with links back to the sources
- Return chunk text, source type, document IDs and page or sheet references for citation
- When to use it
- Useful when you want an AI client such as Claude Code, Codex, Cursor or ChatGPT to answer questions from your own product or API documentation with citations, instead of relying on general knowledge.
- Requirements
- A remote Streamable HTTP endpoint at mcp.biel.ai, with hosted MCP enabled on a Biel.ai plan that includes it, plus a Biel.ai account and indexed sources. Public projects need no key; private projects need an api_key query parameter with search and chats_create permissions, and a domain parameter when allowed domains are configured. Clients without native HTTP support use a bridge such as mcp-remote. Optional self-hosting via Python package or Docker.
Installation
In SourceWeft
- Open Biel.ai in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Other MCP clients
Follow the launch instructions in the repository.
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
Source: README.md at commit 2337554
Tools
0Version history
1- v2.0.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declaredRequired10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts