claude-code-mcp
claude-code
claude-code-mcp | claude-code | |
---|---|---|
2 | 43 | |
777 | 32,226 | |
10.9% | 15.6% | |
9.2 | 9.3 | |
3 months ago | 3 days ago | |
JavaScript | TypeScript | |
MIT License | 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.
claude-code-mcp
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Claude 4
Claude Code as a tool call, from Copilot‘s own agent (agent in an agent) seems to be working well. Peter Steinberger made an MCP that does this: https://github.com/steipete/claude-code-mcp
- Claude Code as one-shot MCP server
claude-code
- Claude Code breaks terminal sessions and uses 100% CPU
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What makes Claude Code so damn good
https://github.com/anthropics/claude-code
You can see the system prompts too.
It's all how the base model has been trained to break tasks into discrete steps and work through them patiently, with some robustness to failure cases.
- Claude Code creates fictional software
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Building Code Retrieval for Claude Code from Scratch
Others have raised similar issues with Claude Code, such as issue1 and issue2. You can see that even Claude Code, as powerful as it is, cannot escape these pain points and problems.
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Building an AI Development Environment with Claude Code Claude Router Open Router
View on GitHub
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Letting inmates run the asylum: Using AI to secure AI
At this point, fuck it, do it, I'm here for the laughs now.
Let Claude run on your production servers and delete ld when something doesn't run (https://www.reddit.com/r/linux4noobs/comments/1mlveoo/help/). Let it nuke your containers and your volumes because why the fuck not (https://github.com/anthropics/claude-code/issues/5632). Let the vibecoders put out thousands of lines of shit code for their stealth B2B startup that's basically a wrapper around OpenAI and MySQL (5.7, because ChatGPT read online that MERN is a super popular stack but relational databases are gooder), then laugh at them when it inevitably gets "hacked" (the user/pw combo was admin/admin and PHPMyAdmin was open to the internet). Burn through thousands of CPU hours generating dogshit code, organising "agents" that cost you 15 cents to do a curl https://github.com/api/what-did-i-break-in/cba3df677. Have Gemini record all your meetings, then don't read the notes it made, and make another meeting with 5 different people the next week.
It will reveal a bunch of things: which companies are ran by incompetent leaders, which ones are running on incompetent engineers, which ones keep existing because some dumbass VC wants to throw money in the money burning pit.
Stand back, have a laugh. When you're thrust in a circus, don't participate in the clown show.
- [BUG] Claude says "You're absolutely right!" about everything
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Claude Code: Part 10 - Common Issues and Quick Fixes
Search GitHub issues
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Claude Code: Part 11 - Troubleshooting and Recovery
GitHub issues: https://github.com/anthropics/claude-code/issues
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Generate Slideshow-Style Documentation Sites for GitHub Repositories with iFLOW-CLI GitHub Action and Qwen3-Coder
The iFLOW team from Alibaba https://www.iflow.cn/ has recently open-sourced a terminal-based AI Agent tool iFLOW CLI, which can currently be used free of charge with powerful models like Qwen3-Coder and Kimi K2. It's another product similar to Anthropic's Claude Code.
What are some alternatives?
bang
OpenHands - 🙌 OpenHands: Code Less, Make More
codemod - The command line tool for building, sharing, and running codemods. From quick cleanups to complex migrations. AI-friendly, and language-agnostic.
app - A self-hostable, web-based audio streaming app.
llm-benchmark - We assessed the ability of popular LLMs to generate accurate and efficient SQL from natural language prompts. Using a 200 million record dataset from the GH Archive uploaded to Tinybird, we asked the LLMs to generate SQL based on 50 prompts.
polyglot-benchmark - Coding problems used in aider's polyglot benchmark