servers
github-mcp-server
| servers | github-mcp-server | |
|---|---|---|
| 401 | 34 | |
| 87,066 | 30,639 | |
| 2.6% | 4.6% | |
| 9.8 | 9.8 | |
| 8 days ago | 3 days ago | |
| TypeScript | Go | |
| GNU General Public License v3.0 or later | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
servers
- Build a tiny MCP server in JavaScript -Claude, Codex friendly
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Can you build a successful business in a Claude Code loop?
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:
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Building an MCP server with Node.js
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.
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Why Dremio's Value Is Unique to Apache Iceberg Lakehouses and Agentic Analytics
Model Context Protocol specification
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How I Built an MCP Server for M-PESA — and Why It Matters for East Africa
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.
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Let your AI agent test your API: two-go's AI layer and MCP server
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.
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Introducing LlamaStash: a zero-overhead, terminal-native llama.cpp launcher
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.
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How Claude Code's Skills System Actually Works
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.
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I got tired of re-explaining my codebase to every coding agent — so I made critical memory live in the repo next to code
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.
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Best Claude Code MCP Servers in 2026 (Ranked)
The MCP ecosystem doubles every few months. Bookmark the official MCP servers repository for the canonical list.
github-mcp-server
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Building AI Agents in Python
GitHub MCP
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The Real Problems Start After Your MCP Server Works
Fix direction: Group tools by domain and load them selectively per request context. See how GitHub MCP handles tool discovery and scoping github/github-mcp-server/pkg/tooldiscovery. Atlassian Rovo takes a similar approach for Jira + Confluence tool scoping atlassian/atlassian-mcp-server
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Helping Claude Do Its Best Work
A lot of people use MCP servers to connect Claude to tools. I'm not generally a fan. MCP servers load a lot of information into context and often don't do everything that the API can. Last I looked, even the official Github MCP Server is guilty of this. I'd rather write tools directly, to my specifications.
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I tested file uploads on 7 MCP services -- none of them worked
From github-mcp-server Issue #738:
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Kiro showcase: Automating Changes Across Several Repos with Spec-Driven Development and Custom Sub-Agents
Rather than manually searching through repositories, I used Kiro with the GitHub MCP server to:
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Using AI for Terraform: flows, prompts, and agents with LangFlow & Docling
GitHub MCP server for getting files in my reference repository
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I Didn’t Get MCP Until I Built One
Github
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Set up dev environment with Claude Code
Some MCP servers can bring too many tools or tool output, which can take up a significant chunk of the context window. GitHub is one of the MCP servers where tool surface area can get big. See the https://github.com/github/github-mcp-server/issues/1286
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10 MCP Servers to Improve DevOps Workflows
Communication Protocol: HTTP + stdio Community/Commercial Support: Developed and maintained by GitHub (open source) Official Documentation/Project Address: https://github.com/github/github-mcp-server GitLab also provides a corresponding MCP service, which will not be elaborated upon further.
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MCPs for Developers Who Think They Don't Need MCPs
If your first thought is "why would I use GitHub MCP when I have the CLI?" I hear you. GitHub's MCP is kind of bloated right now. (They know. They're working on it.)
What are some alternatives?
claudebox - The Ultimate Claude Code Docker Development Environment - Run Claude AI's coding assistant in a fully containerized, reproducible environment with pre-configured development profiles.
git-mcp - Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
typescript-sdk - The official TypeScript SDK for Model Context Protocol servers and clients
registry - A community driven registry service for Model Context Protocol (MCP) servers.
awesome-mcp-servers - A collection of MCP servers. [GET https://api.github.com/repos/punkpeye/awesome-mcp-servers: 404 - Not Found // See: https://docs.github.com/rest]
context7 - Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors