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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.

A Model Context Protocol server that wraps multiple backend servers for token-efficient tool discovery via lazy loading. It enables AI models to browse available servers and fetch specific tool schemas on-demand, significantly reducing initial context overhead.

A server that transforms a standard Language Model into a dynamic multi-agent system where the model simulates both a Conductor (project manager) and Experts (specialized agents) to tackle complex problems through a collaborative workflow.

The first commercial implementation of HTTP 402 Payment Required for creator content monetization. AI agents pay $0.0025 per content pull from paywalled creator libraries. Creators get paid automatically.

An MCP server that allows agents to trade through MetaTrader 5 by computing position sizing from account balance, stop loss distance, and risk percent, enabling natural language order placement and portfolio management.

A Model Context Protocol server that enables AI assistants like Claude to interact with microCMS content management system through six core tools for performing CRUD operations on microCMS list-type APIs.

Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.

Provides AI assistants with persistent graph database memory using Neo4j, enabling task management, relationship understanding, semantic search with embeddings, file indexing, and multi-agent coordination through the Model Context Protocol.