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Biel AI

MIT License
1

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.

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 & IntegrationsNew 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

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security - not tested
A
license - permissive license
-
quality - not tested

Let AI tools like Cursor, VS Code, or Claude Desktop answer questions using your product docs. Biel.ai provides the RAG system and MCP server.

  1. Get your MCP configuration
    1. Add to your AI tool
      1. Start asking questions
        1. Self-hosting (Optional)
          1. Local development
          2. Docker deployment
        2. Support

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