24 skills found
qdrant / mcp-server-qdrantAn official Qdrant Model Context Protocol (MCP) server implementation
llmsresearch / paperbananaOpen source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.
alioshr / memory-bank-mcpA Model Context Protocol (MCP) server implementation for remote memory bank management, inspired by Cline Memory Bank.
bgauryy / octocode-mcpMCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere
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.
argoproj-labs / mcp-for-argocdAn implementation of Model Context Protocol (MCP) server for Argo CD.
elusznik / mcp-server-code-execution-modeAn MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.
invariantlabs-ai / mcp-streamable-httpExample implementation of MCP Streamable HTTP client/server in Python and TypeScript.
yWorks / mcp-typescribeAn MCP server implementation enabling LLMs to work with new APIs and frameworks
AnalyticAce / binance-mcp-serverUnofficial tools and server implementation for Binance's Model Context Protocol (MCP). Designed to support developers building crypto trading AI Agents.
vanto / beanquery-mcpBeancount MCP Server is an experimental implementation that utilizes the Model Context Protocol (MCP) to enable AI assistants to query and analyze Beancount ledger files using Beancount Query Language (BQL) and the beanquery tool.
locus-technologies / agentic-commerce-protocol-demoReference implementation of OpenAI's Agentic Commerce Protocol (ACP)
arjunprabhulal / mcp-flight-searchMCP Server implementation for the Model Context Protocol (MCP) enabling AI tool usage - Realtime Flight Search
synaptiai / prompt-decoratorsA standardized framework for enhancing how LLMs process and respond to prompts through composable decorators, featuring an official open standard specification and Python reference implementation with MCP server integration.
prayanks / mcp-sqlite-serverThese are MCP server implementations for accessing a SQLite database in your MCP client. There is both a SDIO and a SSE implementation.
portal-labs-infrastructure / mcp-server-blogExample of a MCP implementation using TypeScript and OAuth.
leynier / mcp-sys-bridgeAn implementation of the Model Context Protocol (MCP), acting as a simple bridge to native OS functionalities like clipboard management and URL handling.
agentic-community / openapi-to-mcpTransform OpenAPI specifications into production-ready MCP servers with AI-powered evaluation and enhancement. Leverages LLMs to analyze, improve, and generate Model Context Protocol implementations from your existing API documentation.
hanw39 / ReasoningBank-MCPImplementation based on the paper "ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory"
Abhinavexists / MCP_ServerA Simple Implementation of the Model Context Protocol
Piotr1215 / mcp-agentic-frameworkmcp implementation of an agentic framework
szktty / straw-mcpA Dart implementation of the Model Context Protocol (MCP), enabling seamless integration between Dart/Flutter applications and LLM services.
dyneth02 / MCP-Client-Server-Project-using-NodeJSA minimal Model Context Protocol (MCP) implementation built with Node.js and TypeScript. This project demonstrates client–server communication over stdio, structured message handling, and local data access, developed with VS Code and GitHub Copilot to explore modern AI tool integration workflows.
kuldeepsingh99 / google-a2aAbout Pure java implementation of Google A2A protocol. This project demonstrates how to build an A2A-compliant multi-agent system using Spring Boot, Ollama, and the Agent-to-Agent (A2A) protocol. The architecture is based on a Parent Agent that orchestrates multiple Child Agents (e.g., Order Agent, Seller Agent).
