todo-mcp
A stateful todo-list MCP server that allows adding, listing, completing, and deleting tasks with priority levels, and exposes a markdown resource of the current board.
README
todo-mcp
The foro.sh example project: a small, stateful todo-list MCP server. Every new foro.sh workspace gets a deployed copy, so there is a live MCP endpoint to poke at before deploying anything of your own.
Tools
| Tool | Description |
|---|---|
add_task(title, priority) |
Add a task (low / medium / high, default medium) |
list_tasks(status) |
List tasks (all / open / done, default all) |
complete_task(id) |
Mark a task as done |
delete_task(id) |
Delete a task |
It also exposes one resource, tasks://board — the current board rendered as
markdown.
State
Tasks live in the server's memory. That is the point of the example: a tool call in one session mutates state the next call sees, because the container keeps running between calls. The ceiling is just as real: state resets whenever the server restarts or redeploys. For anything that must survive a restart, back your server with a database or external store.
Run it locally
uv run server.py
The server speaks MCP over streamable HTTP at http://localhost:8000/mcp
(set MCP_PORT to change the port).
Deploy it
This repo carries a foro.yaml, so it deploys on foro.sh as-is: sign in,
pick this repo, deploy.
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.