deepset-mcp-server

deepset-ai/deepset-mcp-server

3.3

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This is the official MCP server for the deepset AI platform, designed to facilitate the building and debugging of pipelines using tools like Cursor or Claude Code.

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deepset-mcp

The official MCP server and Python SDK for the deepset AI platform

deepset-mcp enables AI agents to build and debug pipelines on the deepset AI platform through 30+ specialized tools. It also provides a Python SDK for programmatic access to many platform resources.

Documentation

📖 View the full documentation

Quick Links

Development

Installation

Install the project using uv:

# Install uv first
pipx install uv

# Install project with all dependencies
uv sync --locked --all-extras --all-groups

Code Quality & Testing

Run code quality checks and tests using the Makefile:

# Install dependencies
make install

# Code quality
make lint          # Run ruff linting
make format        # Format code with ruff
make types         # Run mypy type checking

# Testing
make test          # Run unit tests (default)
make test-unit     # Run unit tests only
make test-integration     # Run integration tests
make test-all      # Run all tests

# Clean up
make clean         # Remove cache files

Documentation

Documentation is built using MkDocs with the Material theme:

  • Configuration: mkdocs.yml
  • Content: docs/ directory
  • Auto-generated API docs via mkdocstrings
  • Deployed via GitHub Pages (automated via GitHub Actions on push to main branch)