Recursive Language Model patterns for Claude Code — handle massive contexts (10M+ tokens) by treating them as external variables

MCP server that enables language models to interact with RDKit through natural language

APISIX Model Context Protocol (MCP) server is used to bridge large language models (LLMs) with the APISIX Admin API.

Use any LLMs (Large Language Models) for Deep Research. Support SSE API and MCP server.

Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically

Recursive Language Models for Claude Code - Infinite memory solution inspired by MIT CSAIL paper

Chiasmus is an MCP server that gives language models access to formal verification

Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models

AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.

📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.

Infrastructure that connects LLMs to ERPNext. Frappe Assistant Core works with the Model Context Protocol (MCP) to expose ERPNext functionality to any compatible Language Model

The Model Context Protocol (MCP) is an open-source implementation that bridges Jenkins with AI language models following Anthropic's MCP specification. This project enables secure, contextual AI interactions with Jenkins tools while maintaining data privacy and security.

A Model Context Protocol (MCP) server that provides file system context to Large Language Models (LLMs). This server enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.

Wwise-MCP is a Model Context Protocol (MCP) server that enables large language models (LLMs) to interact with the Wwise Authoring application. It exposes a set of tools built on a custom Python WAAPI library, allowing MCP clients such as Claude or Cursor to automate and compose complex, multi-step Wwise workflows.

K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI systems to assist with cluster management, troubleshooting, and deployments

SkillX: Automatically Constructing Skill Knowledge Bases for Agents

A linguistic linter for Traditional Chinese (zh-TW)

[ICML 2026] Meta Context Engineering via Agentic Skill Evolution

Build and run agents you can see, understand and trust.

Learn AI and LLMs from scratch using free resources

Rails Engine with MCP compliant Spec.

Your First LLM-Wiki Conversation Knowledge Base

🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and improve LLM apps

Production Claude Code skills for n8n from a Verified Creator's 100+ workflows