Implements a Model Context Protocol (MCP) server for seamless video uploading, editing, searching, and generative editing workflows, powered by Video Jungle integration and LLM assistance. Provides a suite of tools for video asset management, automated video editing, and context-aware search leveraging multimedia analysis. Supports both cloud workflows through Video Jungle and local searching capabilities, such as accessing the Photos app database on MacOS. Designed for integration with clients like Claude Desktop and supports automation, debugging, and development through open protocols.

• ⭐ 207
• MCP
• burningion/video-editing-mcp

BlenderMCP enables direct interaction between Blender and Claude AI by leveraging the Model Context Protocol (MCP). It allows users to create, manipulate, and inspect 3D scenes in Blender through natural language commands sent to Claude, which communicates with Blender via a custom socket server and an addon. The solution features two-way communication, object and material manipulation, code execution within Blender, and easy integration with tools like Cursor, Visual Studio Code, and Claude for Desktop.

• ⭐ 13,092
• MCP
• ahujasid/blender-mcp

Manim MCP Server allows users to execute Manim Python scripts via a standardized protocol, generating animation videos that are returned as output. It integrates with systems like Claude to dynamically render animation content from user scripts and supports configurable deployment using environment variables. The server handles management of output files and cleanup of temporary resources, designed with portability and ease of integration in mind.

• ⭐ 454
• MCP
• abhiemj/manim-mcp-server

Provides an implementation of a Model Context Protocol (MCP) server to enable AI assistants and clients to search and retrieve book and author information from the Open Library API. Supports searching by title, author name, and various identifiers, as well as fetching author photos and book covers. Returns structured, machine-readable data suitable for AI model context integration. Offers installation via Smithery, manual setup, and Docker deployment.

• ⭐ 34
• MCP
• 8enSmith/mcp-open-library

The mcp-server provides a Model Context Protocol (MCP) server specifically designed for aerospace and astrodynamics computations. It offers both STDIO and HTTP/SSE transport options, enabling seamless integration with MCP clients for tasks like celestial body ephemeris, orbital mechanics, geometry, ground station operations, and time system conversions. Powered by the IO Aerospace Astrodynamics framework, it supports rapid, context-aware scientific tool execution for applications in mission analysis and research. Extensible deployment methods, including Docker and .NET, and a focus on easy client integration are core components.

• ⭐ 1
• MCP
• IO-Aerospace-software-engineering/mcp-server

MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

• ⭐ 5
• MCP
• Data-Everything/mcp-server-templates

OpenMCP defines a standard for converting various web APIs into servers compatible with the Model Context Protocol (MCP), enabling efficient, token-aware communication with client LLMs. It also provides an open-source registry of compliant servers, allowing clients to access a wide array of external services. The platform supports integration with local and remote hosting environments and offers tools for configuring supported clients, such as Claude desktop and Cursor. Comprehensive guidance is offered for adapting different API formats including REST, gRPC, GraphQL, and more into MCP endpoints.

• ⭐ 252
• MCP
• wegotdocs/open-mcp

WayStation MCP acts as a remote Model Context Protocol (MCP) server, enabling seamless integration between AI clients like Claude or Cursor and a wide range of productivity applications, such as Notion, Monday, Airtable, Jira, and more. It supports multiple secure connection transports and offers both general and user-specific preauthenticated endpoints. The platform emphasizes ease of integration, OAuth2-based authentication, and broad app compatibility. Users can manage their integrations through a user dashboard, simplifying complex workflow automations for AI-powered productivity.

• ⭐ 27
• MCP
• waystation-ai/mcp

Aggregates multiple Model Context Protocol (MCP) servers into a single, unified proxy interface, supporting real-time discovery, management, and orchestration of AI model resources, tools, and prompts. Enables seamless interaction between MCP clients such as Claude, Cline, and Cursor, while integrating advanced document search, AI document exchange, and workspace management. Provides flexible transport modes (STDIO and Streamable HTTP), robust authentication, and comprehensive security measures for safe and scalable AI data exchange.

• ⭐ 87
• MCP
• VeriTeknik/pluggedin-mcp-proxy

McGravity acts as a scalable unified proxy and load balancer for multiple MCP (Model Context Protocol) servers. It allows clients to connect through a single endpoint to access and manage multiple MCP servers efficiently. The tool offers load balancing, configuration via YAML, CLI and Docker support, and plans to evolve with features such as health checks and a web interface. Designed for modern GenAI infrastructure, it simplifies connection, balancing, and scalability of MCP server deployments.

• ⭐ 68
• MCP
• tigranbs/mcgravity

MCP Access Point acts as a lightweight gateway that enables direct communication between MCP-compatible clients and traditional HTTP services without requiring server-side modifications. Built on the high-performance Pingora proxy library, it supports protocol conversion between HTTP, SSE, and MCP, supporting multi-tenancy and customizable routing. It empowers various MCP clients, such as Cursor Desktop, MCP Inspector, and VS Code, to interact with existing APIs efficiently. Configuration is flexible via YAML, and deployment is possible both locally and through Docker.

• ⭐ 118
• MCP
• sxhxliang/mcp-access-point

Provides a Model Context Protocol (MCP) tool server that interfaces with OpenAI's GPT-4o/gpt-image-1 APIs to generate and edit images from text prompts. Supports advanced image editing operations including inpainting, outpainting, and compositing with customizable options. Integrates with MCP-compatible clients such as Claude Desktop, VSCode, Cursor, and Windsurf. Offers both base64 and file output for generated images, with automatic file handling for large images.

• ⭐ 70
• MCP
• SureScaleAI/openai-gpt-image-mcp

Magg is a server that implements the Model Context Protocol (MCP), acting as a central aggregator and proxy for multiple MCP servers. It enables Large Language Models (LLMs) to dynamically discover, add, configure, and manage external tools at runtime. By aggregating tools from different MCP servers under unified namespaces, it streamlines capability management and introduces features such as configuration persistence, authentication, and real-time notifications. Magg offers both command-line and Docker deployment, with support for HTTP, stdio, and in-memory transport.

• ⭐ 62
• MCP
• sitbon/magg

MindsDB enables seamless connection to and unification of data from hundreds of enterprise sources, allowing for highly accurate responses across large-scale federated systems. It provides an open-source server with built-in support for the Model Context Protocol (MCP) to facilitate standardized interaction with AI-driven question answering over diverse data sets. The platform offers tools for preparing, organizing, and transforming both structured and unstructured data via knowledge bases, views, and scheduled jobs. Its agent framework and SQL interface empower users to configure data-centric agents, automate workflows, and interact with data conversationally.

• ⭐ 35,487
• MCP
• mindsdb/mindsdb

Anyquery is a SQL query engine that enables users to run SQL queries on a wide array of data sources, including files, databases, and popular applications via plugins. It supports integrations with large language models (LLMs) through the Model Context Protocol (MCP), providing seamless access for AI models to query data. Built on SQLite, it extends functionality with a plugin system and can also function as a MySQL server for compatibility with conventional SQL clients. Its flexible installation options and broad plugin ecosystem allow extensive customization and integration.

• ⭐ 1,298
• MCP
• julien040/anyquery