A Paystack API Python MCP Server

sketch-mcp-server

kie ai mcp server

Rube is a Model Context Protocol (MCP) server that connects your AI tools to 500+ apps like Gmail, Slack, GitHub, and Notion. Simply install it in your AI client, authenticate once with your apps, and start asking your AI to perform real actions like "Send an email" or "Create a task."

一个专业的、可动态编组的 AI 团队协作与编排的MCP。允许您通过简单的指令创建、管理和指挥由多个 AI 智能体 (Agent) 组成的层级化团队，以解决复杂和多阶段的任务。

wled_mcp

MCP server that enables your agents to use coding rules from any or your GitHub repository. Instead of workspace rules files, you can now prompt agents to access the your coding rules from any repository.

Transform Your Amazon Business with AI - The first Model Context Protocol (MCP) client that seamlessly connects Claude and other AI agents to Amazon's Selling Partner API, enabling intelligent automation of your entire seller workflow from inventory management to listing optimization.

Codebase to top candidates - a remote MCP server for finding most qualified engineer candidates without leaving your IDE

crewai mcp neo4j fastapi

MCP Server for Namecheap

MCP server for accessing Monarch Money financial data

This project demonstrates the integration between LLM clients and MCP (Model Context Protocol) servers using Server-Sent Events (SSE) for real-time communication.

OpenMemory MCP

Model Context Protocol (MCP) server for Odoo integration for finance, allowing AI agents to access and manipulate Odoo data through a standardized interface.

pipedrive mcp

Semantic memory manager using txtai with tag-based retrieval and Claude/Cline integration, enabling fast semantic search and persistent memory storage.

AI-powered questionnaire system with SSO, AI question generation, and integrated analytics for rapid insights.

MCP server for interacting with Kaggle competitions

The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.

An interactive Python client for the MCP Flight Search service that runs locally with Ollama and Llama 3.2. It leverages llama-index and MCP tools to deliver structured, context-aware flight queries with privacy-conscious, low-latency access. Ideal for demonstrations, local development, and exploring context-driven prompts.

rust devops cli terraform terragrunt ai-tools mcp-server security-scanner clean-code automation

MCP server for deterministic procedural generation — seed-based world building, terrain & content systems

mcp server csdn