servers
claude-code
| servers | claude-code | |
|---|---|---|
| 401 | 400 | |
| 87,066 | 131,775 | |
| 2.6% | 9.3% | |
| 9.8 | 9.7 | |
| 8 days ago | 5 days ago | |
| TypeScript | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
claude-code
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Cursor's compression isn't a bug. It's how it works.
The cleanest external evidence for how steep the cliff is comes from a single reporter on anthropics/claude-code issue #35296, opened March 17, 2026. The reporter ran 25+ transcripted sessions with Claude Opus 4.6 against a 20,000-record database and pinned down a behaviour profile by context-fill percentage:
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Why Agents Don't Scale: It's an Engineering Problem, Not an AI Problem
I think they do scale:
-- check this bug report from AMD where they say they run fleet of 50 agents 24x7 https://github.com/anthropics/claude-code/issues/42796
-- here I am running 3 coding agents 24x5 (not yet 7 so far) https://news.ycombinator.com/item?id=48520757
I was using multi-coding agents for poc projects first, now for production research and poc second and soon plan to get to production.
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Slightly reducing the sloppiness of AI generated front end
You really have to a) use Opus and b) use the frontend-design skill for decent results.
https://github.com/anthropics/claude-code/blob/main/plugins/...
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AI agent runs amok in Fedora and elsewhere
agents are everywhere nowadays, one left a long pointless comment on a bug report i submitted on github. well, a bug report that an agent submitted on my behalf. agents all the way down. maybe i'm part of the problem.
https://github.com/anthropics/claude-code/issues/66085
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Cybersecurity researchers aren't happy about the guardrails on Anthropic's Fable
https://github.com/anthropics/claude-code/issues/66780
Censored because I'm writing a paper. :)
Oh and forget learning about chemistry. Only criminals want to learn organic chemistry. :(
- Claude Desktop spins up a VM without no way of stopping it
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All 9,300 Japanese train station, animated by the year it opened (1872–2026)
Anthropic's own frontend-design skill attempts to do that. You can install it in Claude Code, or you can tweak it to be closer to your own style:
https://github.com/anthropics/claude-code/blob/main/plugins/...
But what I find works best is to point Claude at a design system documentation website (your own company's or another public source) and tell it to use that design style. It usually does OK, and the results are usually much more in line with that style and not as Claude-y.
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Claude Code Workflow: Best Practices That Ship Code"
Quick grounding for anyone new: Claude Code is Anthropic's official agentic coding tool — an AI coding assistant that lives in your terminal. It reads your codebase, edits files, runs commands, and integrates with your dev tools through natural language. It runs in the terminal, in VS Code/Cursor and JetBrains, in a desktop app, on the web at claude.ai/code, and in the Claude iOS app — all sharing the same engine, so your CLAUDE.md, settings, and MCP servers travel with you.
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Skill, MCP, Plugin, or just a CLI: how I pick a Claude Code extension, lightest first
anthropics/claude-code Issue #13717 (MCP at ~49% of context)
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Claude Desktop Request, LLM Learning Tool, and KV Cache Compression Boost
Source: https://github.com/anthropics/claude-code/issues/65697
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.
superpowers - An agentic skills framework & software development methodology that works.
typescript-sdk - The official TypeScript SDK for Model Context Protocol servers and clients
iflow-cli - iFlow cli is a comprehensive command-line intelligence that embeds in your terminal, analyzes your repositories, does coding tasks, interprets your needs across contexts, and boosts efficiency by performing tasks from simple file operations to complex workflow automation.
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]
claude-code-router - Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.