Packages
26403 resultsjiayao/mcp-chess
This MCP let's you play chess against any LLM.
jira-skill
Provides Agent Skills–compatible Jira integration for AI agents via two skills: jira-communication (Python CLI scripts for Jira API operations) and jira-syntax (Jira wiki markup syntax/templates/validation). Includes scripts for searching, issue get/update, worklogs, attachments, comments, transitions, sprints/boards, and utility functions like listing fields/users/link types.
joshuarileydev/mac-apps-launcher-mcp-server
MCP server for launching applications on macOS
joshuarileydev/simulator-mcp-server
An MCP server for controlling iOS simulators
jotai-mcp-server
Jotai MCP server
Kim-soung-won-mcp-smithery-exam
An MCP server built with Smithery.
kitbitz
kukapay/sui-trader-mcp
An MCP server designed for AI agents to perform optimal token swaps on the Sui blockchain.
latex-mcp
<!-- mcp-name: io.github.SepineTam/latex-mcp -->
Learning Model Context Protocol
This project explores the features and usage of Model Context Protocol (MCP) servers and clients, providing a hands-on learning environment for experimenting with MCP-based tools and workflows.
learn-mcp-servers
The purpose of the repo is to teach you how to make MCP servers.
Linggen - Local RAG
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Linked-API/linkedapi-mcp
MCP server that lets AI assistants control LinkedIn accounts and retrieve real-time data.
linux-mcp-server
<!-- mcp-name: io.github.rhel-lightspeed/linux-mcp-server -->
lukaskostka99-marketing-miner-mcp
MCP server pro Marketing Miner API
market-fiyatlari-mcp-server
MCP server for Market Fiyatı API
markmap
mcp
A monorepo of reference MCP (Model Context Protocol) server implementations for managing/interacting with Oracle products (not intended for production). It provides multiple MCP servers under src/, with setup guidance for running them via MCP-compatible clients (stdio/streamable HTTP) and for OCI-backed servers using OCI CLI credentials.
MCP Advisor
<!-- mcp-name: io.github.stucchi/mcp-advisor -->
mcp-agent-langchainjs
A TypeScript/Node.js sample application that demonstrates building an AI agent using LangChain.js with Model Context Protocol (MCP) tools to browse a burger menu, place orders, and query order status. It includes a burger ordering REST-style backend, an MCP server exposing burger operations as MCP tools (serverless/HTTP), and agent UIs/APIs/CLI for interacting with the toolset.