MarkItDown alternatives

1

Markmap MCP Server

Convert Markdown to interactive mind maps via the Model Context Protocol.

Markmap MCP Server enables seamless conversion of Markdown content into interactive mind maps using the Model Context Protocol (MCP). It leverages the open-source markmap project and provides users with diverse export formats including PNG, JPG, and SVG. Designed for easy integration with MCP clients, it offers tools for automated browser previews, rich interactivity, and batch mind map generation. The server can be installed easily via npm or Smithery and supports configurable output directories.

137 22 MCP

2

PDF Tools MCP

Comprehensive PDF manipulation via MCP protocol.

PDF Tools MCP provides an extensive suite of PDF manipulation operations using the Model Context Protocol framework. It supports both local and remote PDF tasks, such as rendering pages, merging, extracting metadata, retrieving text, and combining documents. The tool registers endpoints through the MCP protocol, enabling seamless server-based PDF processing for various clients. Built with Python, it emphasizes secure handling and compatibility with Claude Desktop via the Smithery ecosystem.

31 8 MCP

3

mcp-read-website-fast

Fast, token-efficient web content extraction and Markdown conversion for AI agents.

Provides a Model Context Protocol (MCP) compatible server that rapidly fetches web pages, removes noise, and converts content to clean Markdown with link preservation. Designed for local use by AI-powered tools like IDEs and large language models, it offers optimized token usage, concurrency, polite crawling, and smart caching. Integrates with Claude Code, VS Code, JetBrains IDEs, Cursor, and other MCP clients.

111 18 MCP

4

Notion MCP Server

Enable LLMs to interact with Notion using the Model Context Protocol.

Notion MCP Server allows large language models to interface with Notion workspaces through a Model Context Protocol server, supporting both data retrieval and editing capabilities. It includes experimental Markdown conversion to optimize token usage for more efficient communication with LLMs. The server can be configured with environment variables and controlled for specific tool access. Integration with applications like Claude Desktop is supported for seamless automation.

834 154 MCP

5

OSP Marketing Tools for LLMs

Comprehensive marketing content creation and optimization tools for LLMs using MCP.

OSP Marketing Tools for LLMs offers a suite of marketing content creation and optimization utilities designed to operate with Large Language Models that support the Model Context Protocol (MCP). Built on Open Strategy Partners’ proprietary methodologies, it provides structured workflows for product value mapping, metadata generation, content editing, technical writing, and SEO guidance. The suite includes features for persona development, value case documentation, semantic editing, and technical writing best practices, enabling consistent and high-quality marketing outputs. Designed to integrate seamlessly with MCP-compatible LLM clients, it streamlines complex marketing processes and empowers efficient collaboration across technical and non-technical teams.

252 40 MCP

6

Content Core

AI-powered content extraction and processing platform with seamless model context integration.

Content Core is an AI-driven platform for extracting, formatting, transcribing, and summarizing content from a wide variety of sources including documents, media files, web pages, images, and archives. It offers intelligent auto-detection and engine selection to optimize processing, and provides integrations via CLI, Python library, Raycast extension, macOS Services, and the Model Context Protocol (MCP). The platform supports context-aware AI summaries and direct integration with Claude through MCP for enhanced user workflows. Users can access zero-install options and benefit from enhanced processing capabilities such as advanced PDF parsing, OCR, and smart summarization.

85 20 MCP

7

Typst MCP Server

Facilitates AI-driven Typst interactions with LaTeX conversion, validation, and image generation tools.

Typst MCP Server implements the Model Context Protocol, enabling AI models to interface seamlessly with Typst, a markup-based typesetting system. It provides tools for tasks such as converting LaTeX to Typst, validating Typst syntax, listing and retrieving Typst documentation chapters, and rendering Typst code as images. The server is compatible with MCP agent clients, such as Claude Desktop and VS Code’s agent mode. All functionalities are exposed as tools for ease of LLM integration.

79 7 MCP

8

Jotdown

MCP Server for Notion Page Creation and mdBook Generation

Jotdown is an MCP server enabling large language models to interact seamlessly with Notion and generate markdown books (mdBooks). It allows LLMs to create or update Notion pages and manage the entire process of markdown book creation, including structure and navigation. Leveraging the Model Context Protocol, it provides tools for consistent and intelligent context handling between LLMs and external content platforms.

19 4 MCP

9

Zettelkasten MCP Server

A Zettelkasten-based knowledge management system implementing the Model Context Protocol.

Zettelkasten MCP Server provides an implementation of the Zettelkasten note-taking methodology, enriched with bidirectional linking, semantic relationships, and categorization of notes. It enables creation, exploration, and synthesis of atomic knowledge using MCP for AI-assisted workflows. The system integrates with clients such as Claude and supports markdown, advanced search, and a structured prompt framework for large language models. The dual storage architecture and synchronous operation model ensure flexibility and reliability for managing personal or collaborative knowledge bases.

114 21 MCP

10

Raindrop.io MCP Server

Enable LLMs to manage and search Raindrop.io bookmarks via the Model Context Protocol.

Raindrop.io MCP Server is an integration that allows large language models to interact with Raindrop.io bookmarks using the Model Context Protocol. It provides tools to create and search bookmarks, including filtering by tags, and is designed for interoperability with environments like Claude for Desktop. Installation can be done via Smithery or manually, and configuration is managed through environment variables. The project is open source and optimized for secure, tokenized access to Raindrop.io.

63 15 MCP

11

Ebook-MCP

A Model Context Protocol server for conversational e-book interaction and AI integration.

Ebook-MCP acts as a Model Context Protocol (MCP) server enabling seamless interaction between large language model (LLM) applications and electronic books such as EPUB and PDF. It standardizes APIs for AI-powered reading, searching, and managing digital libraries. Through natural language interfaces, it provides smart library management, content navigation, and interactive learning within digital books. Ebook-MCP integrates with modern AI-powered IDEs and supports multi-format digital book processing.

132 23 MCP

12

MCP Content Summarizer Server

Intelligent multi-format content summarization via MCP interface.

MCP Content Summarizer Server provides intelligent summarization of various content types including text, web pages, PDF documents, and EPUB books using Google's Gemini 1.5 Pro model. Through the Model Context Protocol, it supports customizable, multi-language summaries with options for style and focus. It is designed for integration with applications as an MCP server and offers tools for both summarization and testing. The solution maintains key information while producing concise and context-aware summaries from diverse content sources.

142 23 MCP

13

Crypto Projects MCP Server

AI-accessible server that delivers comprehensive cryptocurrency project data in structured formats.

Crypto Projects MCP Server provides AI agents with detailed cryptocurrency project data sourced from Mobula.io, accessible via the Model Context Protocol (MCP). It offers both raw JSON and formatted Markdown outputs, making project information easy to parse and consume by large language models. The server features language customization and returns organized details including price, market data, tokenomics, links, investors, and more. Integration with tools like Claude Desktop is supported for seamless AI interactions.

0 10 MCP

14

文颜 MCP Server (Wenyan MCP Server)

AI-powered tool for publishing and formatting Markdown articles to WeChat official accounts via MCP.

文颜 MCP Server is a server component based on the Model Context Protocol (MCP) that enables automated publishing and formatting of Markdown articles to the WeChat Official Account drafts. It integrates with AI tools and leverages a theming system shared with other Wenyan products to beautify content. The tool is designed for multi-platform use and supports integration with local, CI/CD, and Docker-based AI toolchains, offering seamless automation for article management and publication.

907 101 MCP

15

Urlbox MCP Server

Screenshot, PDF, HTML, and markdown generation MCP for websites.

Urlbox MCP Server enables AI clients to generate website screenshots, PDFs, and extract HTML or markdown from web pages via the Urlbox Screenshot API. It supports automated extraction of metadata, cookies, and allows local file downloads. The server is designed to be integrated with LLMs, which can use its tools to capture and process web content on demand via standardized MCP interfaces. Environment variable configuration secures API access, and multiple formats are supported for flexible output.

1 1 MCP

16

FastMCP LaTeX Server (tex-mcp)

A microservice for rendering LaTeX and templates to PDF via the Model Context Protocol.

FastMCP LaTeX Server is a microservice designed to render raw LaTeX or Jinja2 template documents and compile them into PDF files. It exposes a suite of five MCP-compatible tools for document rendering, template management, and artifact handling. The service can be run locally or integrated seamlessly with Claude Desktop, supporting both stdin/stdout MCP communication and HTTP-based transport. Output artifacts, including .tex and .pdf files, are generated in a dedicated directory, and a variety of ready-made templates are provided for easy customization.

4 2 MCP

17

MetaTrader MCP Server

Let AI assistants trade for you using natural language.

MetaTrader MCP Server is a bridge that connects AI assistants such as Claude and ChatGPT to the MetaTrader 5 trading platform via the Model Context Protocol (MCP). It enables users to perform trading actions on MetaTrader 5 through natural language instructions. The system supports real-time data access, full account management, and secure local credential handling, offering both MCP and REST API interfaces.

120 34 MCP

18

Transcribe MCP

Automate audio transcription with seamless AI assistant integration.

Transcribe MCP enables fast and high-quality audio transcriptions by integrating directly with AI assistants such as Claude, Windsurf, and Cursor. It supports both local and cloud-based workflows, offering features like word-level timestamps, speaker separation, and multi-language support. Installation is streamlined via pre-built MCP Bundles and secure integration URLs. The system also provides convenient management of balance, transcription content, and collaboration options.

5 3 MCP

19

CCXT MCP Server

Unified Model Context Protocol gateway for cryptocurrency exchange integration

CCXT MCP Server provides a high-performance gateway integrating multiple cryptocurrency exchanges with language models via the Model Context Protocol (MCP). It connects LLMs, such as Claude and GPT, to real-time market data and trading operations through a standardized interface. Leveraging the CCXT library, it supports various exchanges, different market types, advanced caching, and proxy configuration options. The server is optimized for maintainability with modular architecture, enabling seamless interaction and extensibility.

117 23 MCP

20

Crypto RSS MCP

Real-time cryptocurrency news aggregation and AI context enrichment via MCP.

Crypto RSS MCP serves as a Model Context Protocol (MCP) server that aggregates real-time cryptocurrency news from a variety of RSS feeds. It offers features such as keyword filtering, OPML feed import, and output formatting designed for ingestion by AI agents. The tool enables seamless integration with Large Language Models through custom prompts for summarizing news content and detecting market trends, aiding decision making in volatile crypto markets.

8 5 MCP

21

Speech.sh

Command-line text-to-speech utility with MCP integration using OpenAI's API.

Speech.sh provides robust text-to-speech capabilities from the command line by leveraging OpenAI's API and offers Model Context Protocol (MCP) compatibility for integration with AI assistants. Supporting multiple voice options, adjustable speech speed, and both tts-1 and tts-1-hd models, it ensures seamless audio conversion and playback. Flexible API key management, auto-caching, and reliable retry logic make it suitable for diverse environments. Additional features include security-focused processing, dependency validation, and compatibility with both ffmpeg and mplayer audio players.

5 1 MCP

22

ImageSorcery MCP

Local image recognition and editing tools for AI assistants

ImageSorcery MCP provides AI assistants with advanced image processing capabilities, all executed locally for privacy and efficiency. It offers a suite of tools for editing, analyzing, and enhancing images, including cropping, resizing, object detection, and OCR. The software leverages pre-trained models and OpenCV techniques to handle a wide range of image tasks without requiring cloud services. Designed for AI integration, it allows natural language prompts to control image manipulation and recognition workflows.

236 30 MCP

23

QR Code Generation MCP Server

Generate customizable QR codes from text via an MCP-compliant server.

Provides a server for generating QR codes from text input using the Model Context Protocol (MCP), supporting multiple transport modes such as STDIO, HTTP, and SSE. Allows customization of QR code appearance with options for color, style, and encoding settings. Outputs QR codes as base64 strings for easy integration or direct use in applications. Designed for compatibility with platforms like Claude Desktop and deployments using Docker or direct Python API usage.

11 4 MCP

24

ONES Wiki MCP Server

Spring AI MCP-based service for extracting and transforming ONES Wiki content for AI applications.

ONES Wiki MCP Server provides an MCP-compliant service built on Spring AI MCP for retrieving and converting ONES Wiki content into structured, AI-friendly formats. It supports authentication with ONES platform, automatic translation of Wiki URLs to API endpoints, and outputs processed content as Markdown. The service can be configured through properties, command line arguments, or environment variables, and integrates with MCP-compatible clients such as Claude Desktop.

2 2 MCP

25

Rember MCP

Let Claude create and manage flashcards from your chats and PDFs using Rember's spaced repetition.

Rember MCP enables integration between Claude and the Rember platform using the official Model Context Protocol (MCP). It allows users to generate flashcards from conversations or PDF documents and manage them with Rember's spaced repetition system. The tool can be run as a local MCP server which is easily configurable within Claude Desktop. It emphasizes effective tool descriptions, user guidance, and robust error handling strategies.

57 7 MCP

26

GIF Creator MCP

Convert videos to high-quality GIF animations via MCP.

GIF Creator MCP is a Model Context Protocol (MCP) server designed to convert video files into GIF animations. It allows users to customize output settings, such as frames per second, dimensions, and duration, and can extract specific portions of videos. The tool supports high-quality GIF generation and integrates with clients like Goose for easy extension. Video processing leverages FFmpeg and outputs GIFs with optimized palettes.

11 5 MCP

27

Markdownify MCP Server

Convert diverse files and web content into Markdown via the Model Context Protocol.

Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

2,256 188 MCP

28

mcp-pandoc

Seamless document format conversion via the Model Context Protocol.

mcp-pandoc is a Model Context Protocol (MCP) server for document format conversion powered by Pandoc. It enables bidirectional transformation of content between various document formats while preserving structure and formatting. Designed for integration in AI workflows, it allows standardized and programmatic conversion suitable for large language models and tool-augmented assistants. The project exposes conversion functionality both by direct content submission and via input files.

445 57 MCP

29

OpenMCP

A standard and registry for converting web APIs into MCP servers.

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 27 MCP

30

LLM Context

Reduce friction when providing context to LLMs with smart file selection and rule-based filtering.

LLM Context streamlines the process of sharing relevant project files and context with large language models. It employs smart file selection and customizable rule-based filtering to ensure only the most pertinent information is provided. The tool supports Model Context Protocol (MCP), allowing AI models to access additional files seamlessly through standardized commands. Integration with MCP enables instant project context sharing during AI conversations, enhancing productivity and collaboration.

283 26 MCP

31

Mindmap MCP Server

Convert Markdown content into interactive mindmaps via an MCP-compliant server.

Mindmap MCP Server provides a Model Context Protocol (MCP) compatible service that transforms Markdown input into interactive mindmap visualizations. It supports command-line, Python, and Docker installation methods for flexibility across platforms. Designed to integrate with MCP clients like Claude Desktop, it ensures seamless Markdown-to-mindmap conversion using markmap under the hood. The server is intended for easy plug-and-play use in model-powered workflows that require structured, visual context formatting.

205 22 MCP

32

dicom-mcp

A Model Context Protocol server for managing and querying DICOM medical imaging data.

dicom-mcp enables AI assistants and tools to query, read, and transfer data on DICOM servers, such as PACS and VNA systems. It integrates with MCP-compatible clients, offering tooling for searching patient records, retrieving medical reports, and sending image data to analysis endpoints. Configurable via YAML, it streamlines operations on DICOM databases for research and development in medical imaging. It is explicitly designed for interoperability with LLM-based AI workflows.

74 21 MCP

33

Filestash

A modular, extensible file manager with robust API and LLM Model Context Protocol (MCP) integration.

Filestash is a versatile file manager that supports a wide range of backends including FTP, SFTP, WebDAV, S3, SMB, and popular cloud storage services such as Dropbox and Google Drive. It features a plugin-driven architecture and workflow engine for customization and automation and offers built-in viewers for images, music, and video. Filestash provides an API interface and explicit LLM integration via Model Context Protocol (MCP), enabling advanced file management automation and AI-driven workflows.

13,013 930 MCP

34

MCP Link

Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

572 68 MCP

35

MCP Swagger Server (mss)

Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

38 8 MCP

36

Open Data Model Context Protocol

Easily connect open data providers to LLMs using a Model Context Protocol server and CLI.

Open Data Model Context Protocol enables seamless integration of open public datasets into Large Language Model (LLM) applications, starting with support for Claude. Through a CLI tool and server, users can access and query public data providers within their LLM clients. It also offers tools and templates for contributors to publish and distribute new open datasets, making data discoverable and actionable for LLM queries.

140 21 MCP

37

mcp

Universal remote MCP server connecting AI clients to productivity tools.

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 6 MCP

38

Outsource MCP

Unified MCP server for multi-provider AI text and image generation

Outsource MCP is a Model Context Protocol server that bridges AI applications with multiple model providers via a single unified interface. It enables AI tools and clients to access over 20 major providers for both text and image generation, streamlining model selection and API integration. Built on FastMCP and Agno agent frameworks, it supports flexible configuration and is compatible with MCP-enabled AI tools. Authentication is provider-specific, and all interactions use a simple standardized API format.

26 5 MCP

39

Mermaid MCP Server

AI-powered natural language to Mermaid diagram server via Model Context Protocol

Mermaid MCP Server enables seamless integration with AI assistants, allowing users to generate professional architecture diagrams, flowcharts, and more using natural language. It implements the Model Context Protocol (MCP), providing a standardized interface for AI tools like GitHub Copilot and Claude to interact with diagram generation workflows. The server offers over 50 pre-built templates, fast SVG rendering, and broad integration support across VS Code, CLI, and desktop applications.

3 1 MCP

40

mcpmcp-server

Seamlessly discover, set up, and integrate MCP servers with AI clients.

mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.

17 6 MCP

41

awslabs/mcp

Specialized MCP servers for seamless AWS integration in AI and development environments.

AWS MCP Servers is a suite of specialized servers implementing the open Model Context Protocol (MCP) to bridge large language model (LLM) applications with AWS services, tools, and data sources. It provides a standardized way for AI assistants, IDEs, and developer tools to access up-to-date AWS documentation, perform cloud operations, and automate workflows with context-aware intelligence. Featuring a broad catalog of domain-specific servers, quick installation for popular platforms, and both local and remote deployment options, it enhances cloud-native development, infrastructure management, and workflow automation for AI-driven tools. The project includes Docker, Lambda, and direct integration instructions for environments such as Amazon Q CLI, Cursor, Windsurf, Kiro, and VS Code.

6,220 829 MCP

42

CrateDocs MCP

MCP server for Rust crate documentation lookup and search

CrateDocs MCP is an MCP (Model Context Protocol) server designed to provide AI models with access to Rust crate documentation. It enables lookup of crate-level and item-level documentation, as well as efficient searching of Rust crates on crates.io. The system supports various server modes, offers multiple output formats, and includes features for both developers and large language models.

9 2 MCP

43

Druid MCP Server

Comprehensive Model Context Protocol server for advanced Apache Druid management and analytics

Druid MCP Server provides a fully MCP-compliant interface for managing, analyzing, and interacting with Apache Druid clusters. Leveraging tools, resources, and AI-assisted prompts, it enables LLM clients and AI agents to perform operations such as time series analysis, statistical exploration, and data management through standardized protocols. The server is built with a feature-based architecture, offers real-time communication via multiple transports, and includes automatic discovery and registration of MCP components.

9 4 MCP

44

PostHog MCP

Easily deploy and manage Model Context Protocol servers across multiple platforms.

PostHog MCP provides a server implementation for the Model Context Protocol, now maintained within the PostHog monorepo. It enables quick deployment for enhanced model context management across editors like Cursor, Claude, Claude Code, VS Code, and Zed. Users can install the MCP server with a single command, streamlining integration for large language model workflows. Documentation and further details are provided through official PostHog resources.

138 23 MCP

45

Jupyter MCP Server

Real-time, context-aware MCP server for managing and interacting with Jupyter Notebooks.

Jupyter MCP Server is an implementation of the Model Context Protocol (MCP) designed to enable AI-driven, real-time management and interaction with Jupyter Notebooks. It offers context-aware capabilities, smart execution features, and multimodal output handling, seamlessly integrating with JupyterLab and supporting multiple notebooks simultaneously. The server is compatible with any MCP client and can work with local or hosted Jupyter deployments.

765 127 MCP

46

Portainer MCP

Connect AI assistants securely to Portainer environments using the Model Context Protocol.

Portainer MCP is an implementation of the Model Context Protocol (MCP) designed for seamless integration between AI assistants and Portainer-managed container environments. It enables management of Portainer resources and allows execution of Docker and Kubernetes commands through AI interfaces in a secure, standardized manner. The tool provides direct protocol-based access to environment data, facilitating automation and operational insights for container infrastructures.

81 16 MCP

47

MCP Language Server

Bridge codebase navigation tools to AI models using MCP-enabled language servers.

MCP Language Server implements the Model Context Protocol, allowing MCP-enabled clients, such as LLMs, to interact with language servers for codebase navigation. It exposes standard language server features—like go to definition, references, rename, and diagnostics—over MCP for seamless integration with AI tooling. The server supports multiple languages by serving as a proxy to underlying language servers, including gopls, rust-analyzer, and pyright.

1,256 94 MCP

48

MaxMSP-MCP Server

Bridge LLMs with Max patches via Model Context Protocol

MaxMSP-MCP Server enables large language models to understand, explain, and generate Max patches by leveraging the Model Context Protocol. It connects LLM agents with MaxMSP environments, providing access to documentation and patch objects for detailed interaction. Installation includes both a Python server and Max environment integration, facilitating seamless Python-Max communication. The tool supports explaining patches, debugging, and synthesizer creation directly through LLM interfaces.

106 12 MCP

49

Quarkus Model Context Protocol Servers

Extensible Java-based servers implementing the Model Context Protocol for context-aware LLM integrations.

Quarkus Model Context Protocol Servers offers a collection of Java-based servers implementing the Model Context Protocol (MCP) to extend the capabilities of language model applications. Built with the Quarkus MCP server framework, it enables integration with JDBC databases, JVM processes, file systems, JavaFX, Kubernetes, containers, and Wolfram Alpha. The project allows easy deployment and extension of context-aware services for AI applications via MCP. Its servers can be run across different environments using jbang and are easily extensible for new capabilities.

176 46 MCP

50

mcp-server-templates

Deploy Model Context Protocol servers instantly with zero configuration.

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.