AI / ML
| Server | Language | Stars | Downloads |
|---|---|---|---|
| context7-smithery-ai2 | — | — | — |
| Contexta Persistent memory and knowledge graph for AI assistants — keyword + vector + graph search. | — | — | — |
| Context Awesome Provide your AI agents with instant access to the best curated resources from over 8,500 awesome lists and more than 1 million items. Discover relevant sections and retrieve high-quality references for deep research, learning, and knowledge work. Enhance your agents' ability to find vetted tools and libraries across a wide range of topics efficiently. | — | — | — |
| @contextcapsule/mcp-server MCP server for Context Capsule — portable execution context for AI agent workflows | TypeScript | — | — |
| context-engineering-kit Hand-crafted Claude Code Skills focused on improving agent results quality. Compatible with OpenCode, Cursor, Antigravity, Gemini CLI, and others. | TypeScript | 983 | — |
| @context-forge/mcp MCP server for Context Forge — generates structured AI context prompts from project configuration and templates | TypeScript | — | — |
| contextforge-mcp Intelligent contextual memory MCP server for developers | TypeScript | — | — |
| context-mcp-server A Model Context Protocol server providing intelligent context management and web content fetching capabilities for AI assistants | Python | — | — |
| context-portal Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE. | Python | 762 | — |
| context-space Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations | Go | 809 | — |
| continuum Async task queue + persistent memory for AI agents. Never lose context between sessions. Works with Claude Code, Remote Control, and Claude.ai web. | Python | 24 | — |
| @contractspec/lib.contracts-runtime-server-mcp MCP server runtime adapters for ContractSpec contracts | TypeScript | — | — |
| ControlKeel Governance layer for AI coding agents with policy validation, findings tracking, and review gates. | TypeScript | 8 | — |
| Conveo Qualitative research platform. Design studies, analyze interviews, and generate insights. | — | — | — |
| converse-mcp-server Converse MCP Server - Converse with other LLMs with chat and consensus tools | TypeScript | — | — |
| co.okahu.mcp-registry/okahu Cloud hosted Okahu MCP server that helps you manage genAI trace data | — | — | — |
| cookiecutter-mcp-uv-container | Python | 25 | — |
| cookier_reward A model context protocol server that provides Cookie rewards for LLMS through gamified self-reflection. | — | — | — |
| Cookiy AI user research via studies, interviews, recruitment, reports, and quantitative surveys. | — | — | — |
| Cool property search server! Non functional server (yet) | — | — | — |
| @cooperco/component-library-mcp-server MCP server for the Cooper Component Library. Provides component documentation, prop inspection, color palette info, and scaffolding tools for AI assistants. | TypeScript | — | — |
| co-op-translator Easily automate the translation of your documentation into multiple languages, powered by Azure AI Services | Python | 613 | — |
| Copado MCP Server Provide a flexible MCP server implementation that enables integration of LLMs with external tools and resources. Facilitate dynamic interaction with data and actions through a standardized JSON-RPC interface. Enhance LLM applications by exposing customizable tools, resources, and prompts for richer context and capabilities. | — | — | — |
| co.pipeboard/meta-ads-mcp Facebook / Meta Ads automation with AI: analyze performance, test creatives, optimize spend. | — | — | — |
| coplay-mcp-server A Model Context Protocol (MCP) server for Coplay, providing Unity integration capabilities | Python | — | — |