awesome-mcp-servers

without leaving your editor The full loop: From English description to mathematically verified, runtime-enforced policy; happens inside your AI assistant. Why not just prompt the LLM to enforce rules? We benchmarked GPT-4o, Claude Sonnet 4, and Gemini 2.0 Flash as guardrails with a hardened system prompt. Every model was bypassed by at least one attack (context spoofing, multi-turn role escalation, unicode homoglyphs). CSL-Core blocked all of them; because the LLM never touches the enforcement layer. Setup: pip install "csl-core[mcp]" Claude Desktop config: { "mcpServers": { "csl-core": { "command": "csl-core-mcp" } } } Or with Docker: docker build -t csl-core-mcp . docker run -i csl-core-mcp GitHub: https://github.com/Chimera-Protocol/csl-core Listed on awesome-mcp-servers: https://github.com/punkpeye/awesome-mcp-servers Previous Show HN discussion: https://news.ycombinator.com/item?id=46963250 Would love feedback, especially from anyone building agentic systems where safety guarantees matter.

ble! More broadly, looking at personal computing: my personal belief is that failure is hugely because of apps. Instead of a broader personal computing that aggregates, that allows constructivism, that enables personal growth & development (barefoot developers & home-cooked software style), computing has been defined by massificstion, by big tech software. The dominant computing paradigm has been mainframe pattern: we the user have an app that acts as a terminal to some far off cloud-y data center. Whatever agency we get is hewn out for us apriori by product teams, and any behavior not explicitly built in is a "Felony Contempt of Business Model" (an oh so accurate Doctorow-ism)! https://maggieappleton.com/home-cooked-software https://news.ycombinator.com/item?id=40633029 https://pluralistic.net/2022/10/20/benevolent-dictators/#fel... https://news.ycombinator.com/item?id=33279274 It is so so sad to see computing squandered so! The good news is AI is changing this relationship with software. I'm sure we will have no end of AI models built in to our software, that companies will maintain the strict control (tyrant's grip) over software as long as they can! But for AI to flourish, it's going to need to work across systems. And that means tearing down some of the walls, walls that have forcibly kept computing (ardently) anti-personal. I can go look at https://github.com/punkpeye/awesome-mcp-servers and take such great hope from it. Hundreds of ways that we have eeked out a way to talk interface with systems that, before, people had no say and no control over.

tter now though. We have a few frameworks that abstract the hard parts of the protocol. We have a few registries that do a decent job surfacing servers that work vs those that do not. We have a dozen or so clients that support MCPs, etc. All of this in less than half a year is unheard of. So yes, while it is easy to find flaws in MCP, we have to acknowledge that all of it happened in a super short amount of time – I cannot even think of comparisons to make. If the velocity remains the same, MCP future is very bright. For those getting started, I maintain a few resources that could be valuable: * https://github.com/punkpeye/awesome-mcp-servers/ * https://github.com/punkpeye/awesome-mcp-devtools/ * https://github.com/punkpeye/awesome-mcp-clients/

-cost zero-impact +capability action only, but that can't be true. (1) - https://github.com/punkpeye/awesome-mcp-servers (2) - https://modelcontextprotocol.io/quickstart/server#what%E2%80... (3) - https://modelcontextprotocol.io/docs/concepts/prompts

open-source protocol is fantastic for innovation, I also think we need a centralized channel for addressing critical issues like security vulnerabilities, dependency management, and user support. My hope is that this directory not only grows with help from contributions, but also becomes a trusted resource for anyone entering the MCP space. If you're working on MCP servers or are interested in the project, I'd love to hear your thoughts!