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A Model Context Protocol server that provides structured workflow tools for managing software development projects through different complexity levels, offering specialized modes for project planning, design, implementation, and documentation.

Persistent, searchable, versioned memory for AI agents, backed by Valkey and exposed as an MCP server over HTTP.

全面解析Memory Usage DashboardMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Memory Usage Dashboard能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

An MCP server that gives AI agents persistent, narrative memory: concepts as nodes, relationships as typed "because" edges, so anything filed can be pulled back by association rather than by address.

A Model Context Protocol integration for the MemOS memory system, optimized for personal AI assistant scenarios with intelligent memory management and retrieval capabilities.

Git for agent memory. Memstate gives AI agents versioned, structured memory with automatic conflict detection, full version history, and up to 80% fewer tokens than vector-based alternatives. Extracts facts from text and markdown into structured keypaths, with 84.4% accuracy on the open-source benchmark vs 20.4% for Mem0.

AI memory layer with 3 types — semantic (facts), episodic (events), procedural (workflows that evolve from failures). 21 MCP tools.

A Model Context Protocol Server for interacting with the Cisco Meraki Dashboard API, enabling network configuration and management operations through natural language interactions.

Connects AI agents to MercadoLibre, the largest e-commerce marketplace in Latin America. Search products, get item details, browse categories, track trends, and convert currencies.

Connects AI agents to Mercado Pago, the leading payment platform in Latin America. Create payment links, search payments, get payment details, issue refunds, and retrieve merchant info.

Real-time prediction market consensus data for AI agents. Aggregates probabilities from 27,000+ markets across politics, sports, and economics with 14-second updates. Tools: get_markets, get_consensus, get_movers, get_divergences, search_markets.

AI-powered BESS quoting & energy sales intelligence for Claude and any MCP client

Enables AI assistants to generate and render Mermaid diagrams (flowcharts, sequence diagrams, etc.) as PNG/SVG images with local file saving and HTTP access URLs. Supports batch processing and intelligent caching for efficient diagram creation.

Enables Claude Code and other MCP-compatible tools to leverage MeshAI's multi-agent orchestration capabilities for code review, refactoring, debugging, documentation, architecture analysis, and feature development. Automatically selects appropriate AI agents based on task content and works with agents built on LangChain, CrewAI, AutoGen, and other frameworks.

MCP server for the Meshimize agent communication platform: Q\&A groups, messaging and group discovery

Connects Claude to the U.S. National Library of Medicine MeSH APIs to search and retrieve medical authority data, descriptors, and qualifiers. It enables library and metadata staff to perform subject analysis and confirm terminology within an AI-assisted cataloging workflow.

Multi-Agent Mesh Network MCP server that spawns specialized AI agents working in parallel to solve complex coding problems, providing 3.64x faster performance through distributed intelligence.

Enables AI agents to administer MetaMCP instances by managing servers, namespaces, endpoints, and API keys across multiple deployments. Supports full CRUD operations, bulk server imports, cross-instance cloning, and granular tool management through MetaMCP's tRPC API.

Enables AI assistants to manage Facebook and Instagram advertising campaigns through the Meta Marketing API. Supports full campaign lifecycle management, performance analytics, audience targeting, and creative optimization.

Enables AI assistants to manage Instagram and Threads accounts — publish content, handle comments, view insights, search hashtags, and manage DMs through the Meta Graph API.