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.

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 -r requirements.txt
python biel_mcp_server.py

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

• Issues: GitHub Issues
• Contact: support@biel.ai
• Custom Demo: Book a demo