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Biel.ai

Query your product docs from AI tools. Source-cited answers from your indexed documentation.

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From the repo.

Biel.ai

Biel.ai MCP Server

Connect your IDE to your product docs

Give AI tools like Cursor, VS Code, and Claude Desktop access to your company's product knowledge through the Biel.ai platform.

Biel.ai provides a hosted Retrieval-Augmented Generation (RAG) layer that makes your documentation searchable and useful to AI tools. This enables smarter completions, accurate technical answers, and context-aware suggestions—directly in your IDE or chat environment.

Demo

When AI tools can read your product documentation, they become significantly more helpful—generating more accurate code completions, answering technical questions with context, and guiding developers with real-time product knowledge.

Note: Requires a Biel.ai account and project setup. Start your free 15-day trial.

See quickstart instructions →

Getting started

1. Get your MCP configuration

{
  "mcpServers": {
    "biel-ai": {
      "description": "Query your product's documentation, APIs, and knowledge base.",
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.biel.ai/sse?project_slug=YOUR_PROJECT_SLUG&domain=https://your-docs-domain.com"
      ]
    }
  }
}

Required: project_slug and domain
Optional: api_key (only needed for private projects)

2. Add to your AI tool

  • Cursor: Settings → *Tools & Integrations → New MCP server.
  • Claude Desktop: Edit claude_desktop_config.json
  • VS Code: Install MCP extension.

3. Start asking questions

Can you check in biel_ai what the auth headers are for the /users endpoint?

Self-hosting (Optional)

For advanced users who prefer to run their own MCP server instance:

Local development

# Clone and run locally
git clone https://github.com/TechDocsStudio/biel-mcp
cd biel-mcp
pip install .
biel-mcp

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:

pip install "biel-mcp @ git+https://github.com/TechDocsStudio/biel-mcp.git@VERSION"

from biel_mcp.server import app

Docker deployment

# Docker Compose (recommended)
docker-compose up -d --build

# Or Docker directly
docker build -t biel-mcp .
docker run -d -p 7832:7832 biel-mcp

Support

Config for your environment

Use the endpoint URL below in your config. No API key — you connect directly.

Tool

OS

Config file: ~/.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://mcp.biel.ai/v2/{project_slug}/mcp"
    }
  }
}

Paste into mcpServers in the config file. Restart Cursor after saving.

If this MCP is also published on mcpchannel.ai, you can subscribe from Browse and use the gateway config there instead.