servers VS awesome-mcp-servers

Most agents don't speak raw HTTP — they speak MCP. So the real distribution surface is a tiny MCP server that exposes each endpoint as a tool and does the paying under the hood. The agent calls web_search(query); the server hits the paid endpoint, handles the 402 with its operator's wallet, returns JSON. One line to install:

The Model Context Protocol (MCP) is an open standard for connecting AI hosts (Claude, ChatGPT, Cursor, VS Code, and others) to external context and actions through a structured protocol instead of ad-hoc plugins.

Model Context Protocol specification

That changed when I built mpesa-mcp — a Model Context Protocol server that wraps the Daraja API and makes it directly available to Claude, GPT-4, and Gemini.

If you haven't run into it yet, MCP (Model Context Protocol) is an open standard for exposing tools to AI agents. two-go ships an MCP server that runs over stdio with no dependencies, no URL, no account, and no API key. It's all local.

MCP server surface. The CLI is already agent-friendly, so I'm double minded about whether a Model Context Protocol server would make integration smoother. I'm personally not a fan of MCP and prefer skills and CLIs.

As noted in the Model Context Protocol (MCP) Introduction, this protocol allows Claude to interact with systems like GitHub and local databases through a standardized interface.

Keep the project's living context: current task state, decisions, conventions, known footguns as plain Markdown committed to the repo, and expose it to the agent over MCP.

The MCP ecosystem doubles every few months. Bookmark the official MCP servers repository for the canonical list.

There are over 10,000 MCP servers listed across directories like mcpmarket.com, mcpservers.org, and GitHub. Most of them are weekend projects that break the first time you try them. A handful are production-grade tools that will fundamentally change how you work with AI coding assistants.

You can explore them here: https://mcpservers.org/

Visit mcpmarket.com or mcpservers.org to browse by category and installs.

Awesome MCP Servers

Awesome MCP Servers - Curated list of MCP servers, tools, and related resources. 🆓

Check out the complete collection of MCP servers at mcpservers.org, especially the Database category for more data integration options!

There are already many useful MCP servers available, ranging from weather services and file system tools to integrations with YouTube or Spotify. You can explore curated lists of these servers here or here.

It is an exciting time to live in when it comes to generative AI. Long gone are the days when an LLM is merely capable of generating responses based on the data they are trained on. Nowadays they are capable of doing much more by giving them the proper tools for example. Initiatives like the Model Context Protocol (MCP) are driving a new era and MCP servers are popping up everywhere.

A list of awesome MCP servers