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Enables interaction with MongoDB databases and MongoDB Atlas for querying data and managing clusters via the Model Context Protocol. It supports both local and cloud-based deployments using connection strings or Atlas API credentials.

Connects Claude Desktop to the MonKey Office Connect JSON-API, enabling natural language queries for accounting data like bookings, invoices, and open items. It allows users to retrieve information about companies, accounts, customers, and projects through a set of specialized tools.

Pay per MCP tool call in USDC on Base. Non-custodial settlement, no admin keys, 30 bps fee.

A TypeScript wrapper for the Moralis REST API that enables interaction with blockchain data through the Model Context Protocol (MCP).

Bridges Motion's AI-powered calendar and task management platform with LLMs using the Model Context Protocol. It enables users to manage tasks, projects, and schedules through natural language conversation on desktop, web, and mobile.

Bridges Motion's API with LLMs so you can manage tasks, search projects, check schedules, and more through natural conversation.

Bridges Motion's AI-powered calendar and task management API with LLMs via the Model Context Protocol. It enables users to manage tasks, projects, schedules, and custom fields through natural language conversation.

Provides a suite of tools for searching movies, checking showtimes, and managing ticket bookings for Bangalore cinemas. It enables AI clients to handle end-to-end movie theater interactions including seat availability checks and reservation management.

An MCP server that wraps the TMDB API, enabling search of movies and TV shows, retrieval of details, trending titles, recommendations, and streaming provider information.

An MCP server that wraps The Movie Database (TMDB) API, enabling search for movies and TV shows, retrieval of movie details, recommendations, similar movies, trending content, streaming providers, and movie discovery.

Mpc F2e2b213

全面解析Mpc Csharp SemantickernelMCP 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，Mpc Csharp Semantickernel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。

Chemical safety intelligence for AI-assisted experiment design. 18 MCP tools for compatibility checks, hazard analysis, PPE, storage, waste disposal, mixing order, exposure limits, transport classification, regulatory compliance (8 jurisdictions), and signed audit reports. Supports 4,200+ chemicals in 5 languages.

MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns structured JSON (outputSchema).

Coordinates specialized agents (Architecture, Quality, Cloud, Prompt) to plan, build, test, and deploy applications with self-healing capabilities, authentication, and analytics for autonomous software engineering workflows.

Coordinates specialized agents (Architecture, Quality, Cloud, Prompt) to autonomously plan, build, test, and deploy applications with self-healing capabilities, authentication via Descope, and analytics through Cequence.

Connects Claude Code with multiple AI models (Gemini, Grok-3, ChatGPT, DeepSeek) simultaneously, allowing users to get diverse AI perspectives, conduct AI debates, and leverage each model's unique strengths.

Enables deployment and management of GPU workloads across multiple cloud providers (RunPod, Vast.ai) with intelligent GPU selection, resource monitoring, and telemetry tracking through Redis, ClickHouse, and SkyPilot integration.

An MCP server that functions as an intelligent gateway for multiple LLM backends including OpenAI, Claude, and Ollama. It supports automatic provider fallback, streaming responses via Server-Sent Events, and real-time monitoring for robust AI integration.

Email for AI agents. Send and receive as markdown with human oversight.

A structured tool that enables multiple AI agents to simulate reflective debate, where LLMs critique and refine each other's ideas to produce higher-quality solutions.