The server lets AI clients query Biel.ai’s specialized AI for code, SDK, and documentation answers; the supplied schema exposes only biel_ai.
Ask natural-language questions about code, SDKs, or technical documentation.
Continue a conversation by passing a chat_uuid.
Tag conversation sources with optional metadata.
Support private or domain-restricted projects via api_key and domain.
Per the README, the broader MCP server also supports hybrid search and full document retrieval (biel_search, biel_get_document), though those tools are not present in this schema.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Biel AI what are the authentication requirements for the billing API?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Open your project in Biel.ai, go to Settings > MCP, enable the MCP server, and save. Copy the complete endpoint supplied for your project.
Use the canonical documentation for client-specific steps:
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.
Confirm the client discovers biel_search, biel_get_document, and biel_ai. Ask a question your indexed documentation covers:
Use biel_search to find our API authentication instructions. Read relevant
results with biel_get_document and explain the required headers with source links.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.
Related MCP server: local_lense
The server exposes three tools:
biel_ai: ask Biel.ai to generate an answer, with conversational context. Existing calls using message continue 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:
{"query": "How do I authenticate with the SDK?", "limit": 5}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:
{"document_id": "DOCUMENT_ID_FROM_SEARCH", "limit": 20}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.
For advanced users who prefer to run their own MCP server instance:
# Clone and run locally
git clone https://github.com/TechDocsStudio/biel-mcp
cd biel-mcp
pip install .
biel-mcpApplications that host their own ASGI stack can install the server directly from a tagged revision and import its FastAPI application:
pip install "biel-mcp @ git+https://github.com/TechDocsStudio/biel-mcp.git@VERSION"from biel_mcp.server import app# Docker Compose (recommended)
docker-compose up -d --build
# Or Docker directly
docker build -t biel-mcp .
docker run -d -p 7832:7832 biel-mcpIssues: GitHub Issues
Contact: support@biel.ai
Custom Demo: Book a demo
Query Biel.ai's specialized AI about code, SDKs and documentation
Inputs: message (required), domain, api_key, metadata, +1 more.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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Scored across 1 tool
With only one tool, there is no ambiguity between tools. The tool's description clearly states its purpose, making selection straightforward.
The single tool name 'biel_ai' is clear and consistent with the server name. No pattern inconsistencies are possible with only one tool.
A single tool is on the low end, feeling thin for a server that might expect to offer more capabilities. It is not trivial, but the number is borderline and may be insufficient for broader use cases.
The tool covers the basic need of querying the specialized AI. However, there may be missing operations such as managing sessions or retrieving context, which could be expected in a full-featured AI interface.
Ask your own documents and get answers that cite the source passage. Workspace knowledge bases over MCP for Cursor, Claude and any MCP client.
Connect Claude, Cursor, or ChatGPT to your business data. Ask questions, get answers.
Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.
