π± Sprout an Agent with Haystack & MCP
Spring has sprung β flowers are blooming, birds are chirping, and it’s the perfect time for some fresh ideas to take root π₯
Spring cleaning can waitβ¦ youβre here to level up your AI dev skills with Haystack and take part in a blossoming new movement: Anthropicβs Model Context Protocol (MCP) π
This challenge invites you to sprout a Haystack Agent that speaks MCP and connects to external systems β starting with GitHub.
π§ Whatβs MCP?
The Model Context Protocol is an emerging open standard that unlocks two-way, secure, and structured communication between your AI applications and the tools they use.
In this model:
- MCP Servers act like translators between your app and real-world tools β whether itβs API like GitHub, a database, or a local file system. Think of them as smart wrappers that expose APIs and systems to AI in a consistent, reliable way.
- MCP Clients (like your Haystack Agent) handle everything from connection management to calling specific tools, to parsing and acting on responses.
πͺ» Your Spring Challenge
Youβre going to create a tool-calling Haystack Agent that acts as an MCP Client β capable of connecting to the GitHub MCP Server and performing actions like:
- Creating forks
- Opening PRs
- Reading file content
- Updating issues
- … or whatever GitHub action you choose to empower it with β¨
π§ You’ll Use:
π― Requirements
- A GitHub Token with relevant permission
You can find more info in deepset-ai/spring-into-haystack.