deepset-mcp provides a collection of Model Context Protocol (MCP) tools and agents designed to interact with the deepset AI platform. It enables developers to create, debug, and explore Haystack-based LLM pipelines directly from the CLI, Cursor, Claude Code, or other MCP-compatible clients. Licensed under Apache-2.0 and published on PyPI, it serves as a developer toolkit for building with the deepset platform.
deepset-mcp is an AI & ML project. It focuses on interacting with and managing deepset AI pipelines without direct platform UI access. deepset-mcp is an open-source project aimed at developers. deepset-mcp is open source under the Apache-2.0 license. It ships for the web, the command line, and API.
deepset builds and maintains deepset-mcp, and it first shipped in 2025. Among its 4 catalogued features are Pipeline Creation, Pipeline Debugging, and MCP Agents. It exposes integrations via an MCP server and a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do