Dataflash Mcp Haystack
FreeNot checkedDataflash Fork Haystack integration for Model Context Protocol (MCP)
About
Dataflash Fork Haystack integration for Model Context Protocol (MCP)
README
This repository contains integrations to extend the capabilities of Haystack. The code in this repo is maintained by deepset, see each integration's README file for details around installation, usage and support.
Quick start
You will need hatch to work on or create new integrations, open this link
and follow the install instructions for your operating system and platform.
All the integrations are self contained, so the first step before working on one is to cd into the proper folder.
For example, to run the tests suite for the Chroma document store, from the root of the repo:
$ cd integrations/chroma
$ hatch run test:all
Hatch will take care of setting up an isolated Python environment and run the tests.
Please check out our Contribution Guidelines for all the details.
Inventory
Releasing
[!NOTE] Only maintainers can release new versions of integrations. If you're a community contributor and want to release a new version of an integration, reach out to a maintainer. They will set up trusted publisher management for PyPI.
To release a new version of an integration to PyPI tag the commit with the right version number and push the tag to GitHub. The GitHub Actions workflow will take care of the rest.
Tag the commit with the right version number
The tag needs to have the following format:
git tag integrations/<INTEGRATION_FOLDER_NAME>-<version>For example, if we want to release version 1.0.99 of the google-vertex-haystack integration we'd have to push the tag:
git tag integrations/google_vertex-v1.0.99Push the tag to GitHub
git push --tags originWait for the CI to do its magic
If the release is successful, the HaystackBot will push a commit on main to update the changelog.
[!IMPORTANT] To ensure the changelog is accurate, it's recommended to tag a commit that includes the actual changes for the integration (usually the PR merge commit). Tagging a commit that doesn't contain those changes can lead to an incorrect changelog.
Installing Dataflash Mcp Haystack
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/deepset-ai/haystack-core-integrationsFAQ
Is Dataflash Mcp Haystack MCP free?
Yes, Dataflash Mcp Haystack MCP is free — one-click install via Unyly at no cost.
Does Dataflash Mcp Haystack need an API key?
No, Dataflash Mcp Haystack runs without API keys or environment variables.
Is Dataflash Mcp Haystack hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Dataflash Mcp Haystack in Claude Desktop, Claude Code or Cursor?
Open Dataflash Mcp Haystack on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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