community-toolkit
Provides tools for event countdown, generating meetup announcements, and drafting contributor appreciation notes, enabling community builders to manage events and gratitude via natural language.
README
My First MCP Server: Community Toolkit 🛠️
A beginner-friendly Model Context Protocol server built by a DevRel person learning MCP from scratch. If I can build this, you can too.
What it does
Gives Claude (or any MCP client) three tools every community builder needs:
| Tool | What it does |
|---|---|
days_until_event |
Countdown to your next meetup |
meetup_announcement |
Generates a ready-to-post Markdown announcement |
thank_you_note |
Drafts contributor appreciation notes |
Quick start (5 minutes)
1. Install
pip install "mcp[cli]"
2. Test it with the MCP Inspector
mcp dev server.py
This opens a browser UI where you can call each tool and see the responses — no AI client needed yet.
3. Connect to Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"community-toolkit": {
"command": "python",
"args": ["/full/path/to/server.py"]
}
}
}
Restart Claude Desktop, then try: "How many days until my meetup on 2026-09-15?"
What I learned building this
- MCP is genuinely "USB-C for AI" — I wrote plain Python functions and the protocol handled everything else.
- The
@mcp.tool()decorator + a good docstring is all the AI needs to know when to use your tool. - The MCP Inspector (
mcp dev) is the fastest feedback loop for beginners.
Next steps
- Add a tool that pulls real data (e.g., Meetup/Luma API)
- Try resources and prompts, not just tools
Built as part of my AAIF Ambassador journey. Blog post: coming soon.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.