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Basic Information

Metorial MCP Containers provides containerized builds of hundreds of Model Context Protocol (MCP) servers curated by Metorial. The repository hosts scripts and configuration used to build and manage Docker images for many MCP server projects so developers can run MCP-compatible services locally or in production. Images are built with Nixpacks and updated automatically when upstream server repositories change. The repo includes a large catalog and featured list of ready-to-run MCP servers that expose tools and APIs for LLMs (examples include Notion, Playwright, Chroma, GitHub, Postgres, Supabase, browser automation and many domain-specific connectors). Usage is straightforward: pull the Docker image for a chosen server and run the container. The README also points to a hosted Metorial serverless offering as an alternative to local deployment. The project is open source and the code is licensed under MIT.

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App URL
https://github.com/metorial/mcp-containers
Github Repository
https://github.com/metorial/mcp-containers/blob/main/README.md

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App Details

Features
Simple setup: ready-to-use Docker images for many MCP servers so you can pull and run a service quickly. Automated builds and updates: images are rebuilt automatically when upstream servers change and the project notes daily updates to keep containers current. Secure isolation: each MCP server is packaged as an isolated container. Reproducible builds: container build scripts use Nixpacks to standardize environments. Large curated catalog: an extensive index of MCP server implementations and examples covering databases, cloud services, browser automation, search, vector stores, developer tooling and many third-party APIs. Integration-ready: designed to be used by MCP-compatible clients and LLMs such as Claude Desktop and Cursor. Contribution workflow: a contributing guide is provided to add new containerized MCP servers. Licensing: project code under MIT and container sources follow their upstream licenses.
Use Cases
This repository helps developers, researchers, and teams prototype, test, and deploy MCP servers without spending time configuring each upstream project. By providing prebuilt, maintained Docker images and standardized build scripts, it reduces setup friction for enabling LLMs to interact with external systems and APIs. The catalog accelerates integration work by offering many ready-made servers (databases, search, browser automation, cloud APIs, CRM, analytics, developer tools), enabling agents to access real data or services during development. Reproducible Nixpacks builds and automated updates help maintain consistent environments and reduce drift. For users who prefer not to self-host, the README highlights a hosted Metorial serverless option with logging, monitoring, and SDKs. The repo also provides guidance for contributing new containers, fostering community maintenance and expansion of available MCP tools.

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