323 skills found · Page 4 of 11
rusiaaman / wcgwShell and coding agent on mcp clients
universal-tool-calling-protocol / python-utcpOfficial python implementation of UTCP. UTCP is an open standard that lets AI agents call any API directly, without extra middleware.
cyberkaida / reverse-engineering-assistantMCP server for reverse engineering tasks in Ghidra 👩💻
mondaycom / vibe🎨 Vibe Design System - Official monday.com UI resources for application development in React.js
rekog-labs / MCP-NestA NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.
getsentry / sentry-mcpAn MCP server for interacting with Sentry via LLMs.
jonigl / mcp-client-for-ollamaA text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
Canner / wren-engine🤖 The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents 🔥
web-agent-master / google-searchA Playwright-based Node.js tool that bypasses search engine anti-scraping mechanisms to execute Google searches. Local alternative to SERP APIs with MCP server integration.
SylphxAI / pdf-reader-mcp📄 Production-ready MCP server for PDF processing - 5-10x faster with parallel processing and 94%+ test coverage
alpacahq / alpaca-mcp-serverAlpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs
the-ai-merge / multimodal-agents-courseAn MCP Multimodal AI Agent with eyes and ears!
ihor-sokoliuk / mcp-searxngMCP Server for SearXNG
symgraph / GhidrAssistMCPAn MCP extension for Ghidra
dbt-labs / dbt-mcpA MCP (Model Context Protocol) server for interacting with dbt.
oxbshw / LLM-Agents-Ecosystem-HandbookOne-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
guangxiangdebizi / FinanceMCP这是一个金融领域相关的mcp,本项目通过集成 Tushare API 和 Binance API 为语言模型（如Claude）提供全面的实时金融数据访问能力，支持股票、基金、债券、宏观经济指标、稳定币、虚拟货币等多维度金融数据分析。其中也包含了金融数据查询、财经新闻查询、国家统计局数据查询等
Nexus-Router / nexusGovern & Secure your AI
utensils / mcp-nixosMCP-NixOS - Model Context Protocol Server for NixOS resources
Shy2593666979 / AgentChatAgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。
genomoncology / biomcpBioMCP: Biomedical Model Context Protocol
ravitemer / mcp-hubA centralized manager for Model Context Protocol (MCP) servers with dynamic server management and monitoring
karanb192 / reddit-mcp-buddyClean, LLM-optimized Reddit MCP server. Browse posts, search content, analyze users. No fluff, just Reddit data.
cyanheads / obsidian-mcp-serverObsidian Knowledge-Management MCP (Model Context Protocol) server that enables AI agents and development tools to interact with an Obsidian vault. It provides a comprehensive suite of tools for reading, writing, searching, and managing notes, tags, and frontmatter, acting as a bridge to the Obsidian Local REST API plugin.
pab1it0 / prometheus-mcp-serverA Model Context Protocol (MCP) server that enables AI agents and LLMs to query and analyze Prometheus metrics through standardized interfaces.
graphlit / graphlit-mcp-serverModel Context Protocol (MCP) Server for Graphlit Platform
adhikasp / mcp-redditA Model Context Protocol (MCP) server that provides tools for fetching and analyzing Reddit content.
jerhadf / linear-mcp-serverA server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to interact with Linear.
adhikasp / mcp-git-ingestA Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.
cyberchitta / llm-context.pyShare code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.
