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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

9,177 servers. Last updated -

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    An MCP server that enables interaction with the Vercel API to manage deployments, DNS records, domains, projects, and environment variables through natural language commands.
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    MIT License
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    An MCP server that provides tools for interacting with Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language.
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    A powerful Model Context Protocol (MCP) server enabling seamless Vercel project management, including deployments, domains, environment variables, and team configurations through Cursor's Composer or Codeium's Cascade.
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    A serverless MCP server deployed on Vercel that provides basic utility tools including echo, time retrieval, arithmetic operations, and mock weather information. Includes an interactive client application for testing and demonstration purposes.
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    MIT License
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    A simple Nuxt application that serves as a Model Context Protocol server deployable on Vercel, allowing developers to implement AI tools, prompts, and resources through the MCP TypeScript SDK.
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    An MCP server that provides various tools for interacting with the Vercel API, enabling management of deployments, DNS records, domains, projects, and environment variables through natural language commands.
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    A template for running Model Context Protocol servers on Vercel with Redis support, allowing developers to deploy their custom tools, prompts, and resources using the MCP TypeScript SDK.
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    MIT License
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    Enables optimization, conversion to WebP, and uploading of images to Vercel Blob storage, supporting both local files and external URLs.
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    A template for building MCP servers in Next.js applications using the Vercel MCP Adapter. Provides a foundation for adding custom tools, prompts, and resources to any Next.js project with deployment support on Vercel.
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    MIT License
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    Enables real-time communication between applications and AI models using the Model Context Protocol, supporting features like custom tools and multiple transport options for Next.js applications.
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    A sample MCP server implementation for Next.js projects that uses the Vercel MCP Adapter to handle protocol requests across different transport methods.
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    Provides development tools integration for GitHub, Docker, and Vercel operations through MCP. Enables users to manage repositories, containers, and deployments using natural language commands.
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    MIT License
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    A drop-in Model Context Protocol server implementation for Next.js projects that enables AI tools, prompts, and resources integration using the Vercel MCP Adapter.
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    MIT License
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    A drop-in MCP server implementation for Next.js projects using Vercel MCP Adapter, allowing developers to integrate model context protocol functionality with custom tools, prompts, and resources.
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    MIT License
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    A sample implementation of a Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create AI assistants with custom tools and resources.
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    MIT License
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    A sample implementation of Model Context Protocol server using Next.js and the Vercel MCP Adapter, allowing developers to create custom AI agent backends with tools, prompts, and resources.
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    MIT License
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    A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.
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    A Node.js server that hosts AI agents and manages integrations with various data sources like Supabase, supporting automated database setup and deployment to Vercel.
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    An externally deployable server designed to be hosted on Vercel that can be called from other applications, allowing integration with Agent.AI's Multi-Context Processing capabilities.
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    A demonstration MCP server that provides basic utility tools including hello world functionality and string reversal operations. Shows how to build and deploy MCP tools using the MCPO orchestrator framework.
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    GPL 3.0
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    A bridge server that connects Agent Communication Protocol (ACP) agents with Model Context Protocol (MCP) clients, enabling seamless integration between ACP-based AI agents and MCP-compatible tools like Claude Desktop.
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    An MCP server that creates a virtual traveling environment on Google Maps, allowing users to guide an avatar on journeys with photo reports and SNS integration.
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    Enables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.
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    An MCP server that retrieves statistics from top protocols in the Mantle Network to help users make more informed investment decisions.
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    A Model Context Protocol server that provides Google Maps API integration, allowing users to search locations, get place details, geocode addresses, calculate distances, obtain directions, and retrieve elevation data through LLM processing capabilities.
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    A Model Context Protocol server that enables AI assistants like Claude to interact with Google Cloud Platform environments through natural language, allowing users to query and manage GCP resources during conversations.
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    Enables mapping JavaScript error stack traces back to original source code, extracting context information to help developers locate and fix issues.
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    Enables managing Google Cloud Platform resources through natural language commands in Claude Desktop, supporting comprehensive operations across compute, storage, databases, networking, monitoring, and IAM without manual credential setup.
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    Enables AI assistants to interact with Google Cloud Platform resources through natural language queries. Supports querying and managing GCP services like Compute Engine, Cloud Storage, BigQuery, and more across multiple projects and regions.
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    Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.
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    Apache 2.0
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    Enables secure file transfer operations with remote Linux and Windows systems via SCP/SFTP protocols. Supports uploading, downloading, listing, and managing files on remote servers through SSH authentication.
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    MIT License
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    Enables AI assistants to interact with Google Cloud Platform services for log analysis and root cause investigation. Provides tools to query Cloud Logging, detect error patterns, and perform real-time log streaming across multiple GCP projects.
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    MIT License