mcp-nodejs-debugger
servers
mcp-nodejs-debugger | servers | |
---|---|---|
4 | 140 | |
278 | 66,483 | |
2.9% | 5.8% | |
6.6 | 9.9 | |
5 months ago | about 16 hours ago | |
JavaScript | TypeScript | |
- | 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.
mcp-nodejs-debugger
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Show HN: We made an MCP server so Cursor can debug Node.js on its own
Up to you, but there's actually a formal logging pathway[1] in MCP that has the potential to put this message somewhere that either of the two consumers[2] of your service could see it https://github.com/hyperdrive-eng/mcp-nodejs-debugger/blob/v...
1: https://spec.modelcontextprotocol.io/specification/2024-11-0...
2: the person, and while I don't have evidence of it I also can't think why the LLM couldn't see the message, either
- Show HN: Let Claude Code control Node.js debugger
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AI Blindspots – Blindspots in LLMs I've noticed while AI coding
Little tangent: I realized that currently LLMs can't debug because they only have access to the compile time (just code). Many bugs happen due to run time complex state. If I can make LLMs think like a productive Dev who can debug, then would they become more efficient?
I started hacking a small prototype along those lines: https://github.com/hyperdrive-eng/mcp-nodejs-debugger
Hoping I can avoid debug death loop where I get into this bad loop of copy pasting the error and hoping LLM would get it right this one time :)
servers
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How to Build and Deploy an SSE MCP Server with OAuth in Rust
AI agents have become integral to modern development workflows, transforming how we build and maintain software. While these tools are already powerful, they reach their full potential when enhanced with MCP (Model Context Protocol) servers that extend their capabilities through specialized tools and integrations.
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GitHub MCP Server Deep Dive and Context Engineering
MCP Server Lists: modelcontextprotocol/servers
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How to Build a stdio MCP Server in Rust
AI agents are transforming how we work, but they're often limited by their training data. MCP (Model Context Protocol) servers bridge this gap by giving AI agents access to real-time data, external APIs, and custom tools.
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My 2025 Roundup of Must-Know MCP Servers
GitHub MCP
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Supercharge Your Development Workflow with MCP GitHub Integration
Option 2: Community MCP Servers Several community-maintained servers are available in the MCP servers repository.
- Experimenting with Gemini, MCP, Agentic AI and Android
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# Why I Built MCP Client Generator (And Why You Should Care)
Official MCP servers - GitHub repo includes filesystem, GitHub, GitLab, Slack, and Google Drive implementations
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From Figma to Production Code in 30 Minutes: A Systematic AI-Assisted Workflow
The Figma MCP server provides programmatic access to Figma files through a standardized interface. Unlike the REST API, MCP provides structured access optimized for AI context.
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Building My First MCP Server: Scratching That Obsidian Itch
Model Context Protocol Specification
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How to Build an MCP Server in TypeScript
MCP (Model Context Protocol) is an open protocol that enables AI assistants like Claude to interact with external tools and data sources. It's basically a standardized way for AI to use your APIs. You can read more in the official docs.
What are some alternatives?
context7 - Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
inspector - Visual testing tool for MCP servers
mcp-server-elasticsearch
python-sdk - The official Python SDK for Model Context Protocol servers and clients
browser-tools-mcp - Monitor browser logs directly from Cursor and other MCP compatible IDEs.
mcp-notion-server