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 Haystack Enterprise 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

Local Development

If you want to test your changes locally, follow these steps:

  1. Add a script run-deepset-mcp.sh that uses the binary from the project's virtual env
#!/usr/bin/env bash
# Wrapper to run the local deepset-mcp server for Cursor MCP.
# Use this as command so it doesn't depend on uv or PATH.
set -e
cd "$(dirname "$0")"
exec .venv/bin/deepset-mcp
  1. Use it this way in Cursor:
    "deepset": {
      "command": "/bin/bash",
      "args": ["/Users/*****/****/deepset-mcp-server/run-deepset-mcp.sh"],
      "cwd": "/Users/*****/****/deepset-mcp-server",
      "env": {
        "DEEPSET_WORKSPACE": "WORKSPACE",
        "DEEPSET_API_KEY": "API_KEY"
      }
    }

Note: If you change the codebase, make sure to restart the MCP server.

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)

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for deepset from gravatar.com deepset

Credits

Author: Mathis Lucka

License expression

Apache-2.0
View SPDX License List

Requires

Python >=3.11

Provides Extra

redis

Tags

Agents Haystack LLM MCP deepset pipelines

Classifiers

Report project as malware

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

deepset_mcp-0.1.23.tar.gz (25.5 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

deepset_mcp-0.1.23-py3-none-any.whl (130.8 kB view details)

Uploaded Python 3

File details

Details for the file deepset_mcp-0.1.23.tar.gz.

File metadata

  • Download URL: deepset_mcp-0.1.23.tar.gz
  • Upload date:
  • Size: 25.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for deepset_mcp-0.1.23.tar.gz
Algorithm Hash digest
SHA256 d2bd1a0e6b97c2d40540d330e08ae8e3e3b1528d8e2d44fafe3d120b06db8030
MD5 5ff6273b5c6e173c6bf7a6a60971d97a
BLAKE2b-256 c58b8e91327f96dbf0e76ade4b3a970de31fbb6726f36bcc18e450aa0b1e6f45

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepset_mcp-0.1.23.tar.gz:

Publisher: pypi_release.yml on deepset-ai/deepset-mcp-server

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file deepset_mcp-0.1.23-py3-none-any.whl.

File metadata

  • Download URL: deepset_mcp-0.1.23-py3-none-any.whl
  • Upload date:
  • Size: 130.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for deepset_mcp-0.1.23-py3-none-any.whl
Algorithm Hash digest
SHA256 fc1caa9c2402513883ed37c60f3ade8add2f20e663510f994ab121d5e9d51bd5
MD5 f01ec63794287415e1212403d86021ec
BLAKE2b-256 7192496497eff127a113e21572eca707e849ccdc5b81098cf5557d1638e71d9b

See more details on using hashes here.

Provenance

The following attestation bundles were made for deepset_mcp-0.1.23-py3-none-any.whl:

Publisher: pypi_release.yml on deepset-ai/deepset-mcp-server

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page