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Top 23 JavaScript mcp Projects
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anything-llm
Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience
Project mention: NVIDIA RTX Spark: What the Backlash Gets Wrong About AI on Your Desktop [2026] | dev.to | 2026-06-04The headline marketing number is "1 petaflop" of AI performance. Sounds staggering. Tim Carambat, creator of AnythingLLM and one of the most credible voices in the local AI developer community, has already questioned this figure. His point is one I've validated repeatedly in my own benchmarking: for running large language models locally, memory bandwidth is the actual bottleneck, not raw FLOPS. You can have all the tensor cores in the world, but if you can't feed them data fast enough, your Llama 3 inference is still going to crawl.
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EvoMap | AI Self-Evolution Infrastructure for Agents
The GEP-powered self-evolving engine for AI agents. Auditable evolution with Genes, Capsules, and Events. | evomap.ai
Project mention: Hermes Agent – Open-Source AI Agent with Persistent Memory | news.ycombinator.com | 2026-06-08The project in question that is asserting Hermes is copying their ideas:
https://github.com/EvoMap/evolver
The timeline here is pretty telling and it looks like Hermes basically points their coding agent at evolver and says "reimplement this yourself." A few days later Hermes magically sports a nearly identical feature.
https://evomap.ai/blog/hermes-agent-evolver-similarity-analy...
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cursor-talk-to-figma-mcp
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.
MCP Cursor Talk To Figma - a bit more demanding to set up (you need to set up a local server following the instructions and run the "Cursor Talk To Figma" plugin in Figma; works even without Dev Mode access).
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firecrawl-mcp-server
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
Project mention: Show HN: MCP-recorder – VCR.py for MCP servers. Record, replay, verify | news.ycombinator.com | 2026-03-06--target https://mcp.devhelm.io
It works with both HTTP and stdio transports. Scenarios are defined in YAML so it works with MCP servers in any language, and there's a pytest plugin if you want tighter integration. Secret redaction and environment variable interpolation are built in.
To make sure this actually works on real codebases, I submitted several PRs to production MCP servers: monday.com's MCP server (https://github.com/mondaycom/mcp/pull/222), Tavily's MCP server (https://github.com/tavily-ai/tavily-mcp/pull/113), and Firecrawl's MCP server (https://github.com/firecrawl/firecrawl-mcp-server/pull/175). They went from zero schema coverage to full tool surface verification with a clean schema diff available on each tool change. One big benefit is that you can do verification and replay with no API keys — deterministic responses, no live requests to real servers.
I wrote up a deeper dive into the schema drift problem and the VCR pattern for MCP here: https://devhelm.io/blog/regression-testing-mcp-servers
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godot-mcp
MCP server for interfacing with Godot game engine. Provides tools for launching the editor, running projects, and capturing debug output. (by Coding-Solo)
If godot-mcp won't connect in Cursor on WSL, the real culprit is almost always that Cursor is a Windows app trying to launch a Linux Node binary it can't see. The fix is to set wsl.exe as the command in mcp.json and pass node plus the absolute Linux path as arguments. Two smaller gotchas usually compound the problem along the way: tildes (~) don't expand inside JSON, and JSON config files don't allow // comments.
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brightdata-mcp
A powerful Model Context Protocol (MCP) server that provides an all-in-one solution for public web access.
Project mention: 5 Production Stacks for Live Data Ingestion at Scale (Without Getting Blocked) | dev.to | 2026-05-19Repository: https://github.com/brightdata/brightdata-mcp License: MIT Free Tier: 5,000 requests/month Best for: High-complexity, moderate-volume targets (competitive pricing, job market analysis, funding data, SERP monitoring) where the hard problem is anti-bot, adaptive navigation, or frequent site changes; not throughput.
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super-agent-party
⭐ All-in-one AI companion! Super Agent Party = Self hosted neuro sama + openclaw! ⭐ 全能AI伴侣!超级智能体派对 = 自托管neuro sama + openclaw!
Project mention: Supercharge Your LLMs: Turn Basic APIs into 3D AI Desktop Companions with Zero Code Change | dev.to | 2025-11-04View the Project on GitHub
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pilot-shell
How real engineers run Claude Code and Codex: spec-driven planning, enforced TDD, persistent memory, and quality enforcement on all levels. Make your agents production-ready.
Project mention: Claude Pilot – Claude Code is powerful. Pilot makes it reliable | news.ycombinator.com | 2026-02-23 -
claude-delegator
Delegate tasks to Codex and Gemini directly from within Claude Code. (by jarrodwatts)
I did not invent the delegation layer. claude-delegator is a fork of Jarrod Watts' original (MIT, upstream currently quiet), fully based on his design - I kept the structure and the license.
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mcp-jetbrains
A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio
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WebMCP
Early WebMCP proposal / implementation - since evolved and worked on by much more capable folks that develop the web: https://github.com/webmachinelearning/webmcp (by jasonjmcghee)
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Public Example Repository Deploy Google's Cloud Run MCP server from https://github.com/GoogleCloudPlatform/cloud-run-mcp, which provides tools like deploy-local-folder for app deployments. Configure in VSCode with "command": "npx", "args": ["-y", "@google-cloud/cloud-run-mcp"] after GCP auth, or connect Claude Desktop to its SSE endpoint. Test by listing services: the repo includes full setup for production use.
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ethora
SDK monorepo for Ethora chat / messaging platform. (1) Pick an SDK for your frontend stack. (2) Integrate manually or using ethora-setup. (3) Optionally configure app settings, deploy AI agents etc. Server: ethora.com cloud [free]. Dedicated server + SLA option for enterprise customers.
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mcp-hub
A centralized manager for Model Context Protocol (MCP) servers with dynamic server management and monitoring
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Lynkr
Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.
Project mention: LiteLLM vs Lynkr for AI Coding Workflows: Where the Token Savings Actually Come From | dev.to | 2026-06-10I built Lynkr, so take this as a founder comparison. I’ll keep it honest: LiteLLM is a solid provider abstraction layer. But if your goal is specifically to reduce spend in Claude Code, Cursor, or Codex-style workflows, the difference is not “which gateway supports more providers.” The difference is whether the gateway cuts tokens before they reach the model.
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desktop
Agentify Desktop lets Codex/Claude/OpenCode control your logged-in ChatGPT, Claude, AiStudio, Gemini, Grok, Perplexity web sessions via MCP, parallel hidden/visible tabs, file upload + image download (by agentify-sh)
Project mention: Ask HN: What are tools you have made for yourself since the advent of AI | news.ycombinator.com | 2026-06-08Most of it has been to maximize productivity with AI
1) Use chatgpt pro from codex cli, opencode, claude etc as you can't get it via API. This has been the biggest boost in productivity for me as I don't have to copy and paste.
https://github.com/agentify-sh/desktop
2) A small gate to make sure any agent cannot run destructive rm -rf or git reset --hard commands, it has saved me many many times
https://github.com/agentify-sh/safeexec
3) For mac users, summarizes and speaks out loud after codex finishes a turn
https://github.com/agentify-sh/speak
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after-effects-mcp
MCP Server for Adobe After Effects. Enables remote control (compositions, text, shapes, solids, properties) via the Model Context Protocol using ExtendScript.
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distributed-load-testing-on-aws
Distributed Load Testing on AWS automates performance testing at scale, demonstrating how systems behave under different load conditions and helping identify potential performance issues throughout their lifecycle.
Project mention: Scaling Performance Testing: Leveraging the AWS Distributed Load Testing Solution | dev.to | 2026-01-09Source Code (GitHub)
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Project mention: GitHub Skills: Your Complete Learning Path to AI-Powered Development | dev.to | 2026-01-22
3. Integrate MCP with GitHub Copilot
JavaScript mcp discussion
JavaScript mcp related posts
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Translating 'I missed you' so it doesn't land like a form letter
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Best Status Page Software in 2026: Honest Comparison for Engineering Teams
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Best Free Monitoring Tools in 2026: What You Actually Get at $0/Month
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Migrating to x402 v2: what actually changed (and the traps nobody documents)
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When one translation isn't enough to say something real
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How to Brier-grade your own ML option-pricing forecasts in 40 lines of Python
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MCP servers are just REST APIs in a polite wrapper - here's 5 lines of Python
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A note from our sponsor - SaaSHub
www.saashub.com | 15 Jun 2026
Index
What are some of the best open-source mcp projects in JavaScript? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | anything-llm | 61,470 |
| 2 | electerm | 14,254 |
| 3 | browser-tools-mcp | 7,236 |
| 4 | EvoMap | AI Self-Evolution Infrastructure for Agents | 7,084 |
| 5 | cursor-talk-to-figma-mcp | 6,829 |
| 6 | firecrawl-mcp-server | 6,555 |
| 7 | godot-mcp | 3,300 |
| 8 | brightdata-mcp | 2,448 |
| 9 | super-agent-party | 2,361 |
| 10 | opendia | 1,827 |
| 11 | pilot-shell | 1,749 |
| 12 | claude-delegator | 963 |
| 13 | mcp-jetbrains | 960 |
| 14 | WebMCP | 695 |
| 15 | cloud-run-mcp | 615 |
| 16 | ethora | 536 |
| 17 | mcp-hub | 493 |
| 18 | Lynkr | 468 |
| 19 | desktop | 429 |
| 20 | after-effects-mcp | 416 |
| 21 | distributed-load-testing-on-aws | 411 |
| 22 | tmux-mcp | 288 |
| 23 | integrate-mcp-with-copilot | 217 |