Gitingest-MCP alternatives

1

mcp-git-ingest

MCP server for exploring GitHub repository structures and key files.

mcp-git-ingest is a Model Context Protocol (MCP) server designed to programmatically read and visualize GitHub repository structures and retrieve important file contents. It leverages fastmcp for server functionality and gitpython for repository operations, ensuring robust error handling and cleanup. The tool offers commands to generate directory trees and fetch specified files, making it suitable for integrating repository context into AI workflows.

286 38 MCP

2

GitHub MCP Server

Connect AI tools directly to GitHub for repository, issue, and workflow management via natural language.

GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

24,418 2,997 MCP

3

GitHub Enterprise MCP Server

Expose GitHub Enterprise data through a Model Context Protocol server.

GitHub Enterprise MCP Server provides an MCP (Model Context Protocol) interface to integrate with GitHub Enterprise APIs, enabling standardized access to repository data, issues, pull requests, workflows, and user management. It is compatible with both GitHub Enterprise Server and GitHub.com environments and supports features like repository management, file browsing, and enterprise statistics. The platform is designed for seamless integration with tools such as Cursor, making it simple to interact with GitHub data programmatically or via MCP-compliant clients.

25 7 MCP

4

Exa MCP Server

Fast, efficient web and code context for AI coding assistants.

Exa MCP Server provides a Model Context Protocol (MCP) server interface that connects AI assistants to Exa AI’s powerful search capabilities, including code, documentation, and web search. It enables coding agents to retrieve precise, token-efficient context from billions of sources such as GitHub, StackOverflow, and documentation sites, reducing hallucinations in coding agents. The platform supports integration with popular tools like Cursor, Claude, and VS Code through standardized MCP configuration, offering configurable access to various research and code-related tools via HTTP.

3,224 244 MCP

5

AgentQL MCP Server

MCP-compliant server for structured web data extraction using AgentQL.

AgentQL MCP Server acts as a Model Context Protocol (MCP) server that leverages AgentQL's data extraction capabilities to fetch structured information from web pages. It allows integration with applications supporting MCP, such as Claude Desktop, VS Code, and Cursor, by providing an accessible interface for extracting structured data based on user-defined prompts. With configurable API key support and streamlined installation, it simplifies the process of connecting web data extraction workflows to AI tools.

120 28 MCP

6

MyMCP Server (All-in-One Model Context Protocol)

Powerful and extensible Model Context Protocol server with developer and productivity integrations.

MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

93 9 MCP

7

AtomGit MCP Server

AI-powered management and automation of AtomGit repositories via the Model Context Protocol.

AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.

7 4 MCP

8

GitHub GraphQL MCP Server

A Model Context Protocol server for executing arbitrary GraphQL queries on GitHub's API.

GitHub GraphQL MCP Server is a Model Context Protocol (MCP) server that enables interaction with GitHub's GraphQL API. It allows users to execute any GraphQL queries and mutations against GitHub, supporting variable injection and error handling. The server is designed to integrate with Claude for Desktop, providing tooling for AI environments to access or manipulate GitHub data. Detailed documentation and configuration examples are provided for rapid setup and use.

9 4 MCP

9

GitLab MR MCP

An MCP server for AI-powered interaction with GitLab merge requests and issues.

GitLab MR MCP implements a server for the Model Context Protocol (MCP) enabling AI agents to perform structured interactions with GitLab repositories. It provides capabilities for reading merge request and issue details, listing projects, fetching diffs and comments, and making changes such as commenting or updating titles and descriptions. Installation is supported via Smithery or manually, and integration with MCP clients and Inspector tools is documented for development and troubleshooting.

65 19 MCP

10

Driflyte MCP Server

Bridging AI assistants with deep, topic-aware knowledge from web and code sources.

Driflyte MCP Server acts as a bridge between AI-powered assistants and diverse, topic-aware content sources by exposing a Model Context Protocol (MCP) server. It enables retrieval-augmented generation workflows by crawling, indexing, and serving topic-specific documents from web pages and GitHub repositories. The system is extensible, with planned support for additional knowledge sources, and is designed for easy integration with popular AI tools such as ChatGPT, Claude, and VS Code.

9 2 MCP

11

GXtract MCP Server

MCP server for seamless GroundX platform integration with modern editors.

GXtract MCP Server implements the Model Context Protocol (MCP) to facilitate direct integration between the GroundX document understanding platform and editors such as VS Code. It offers tools for document search, querying, and semantic object explanations, leveraging Python 3.12+ and FastMCP v2 for high performance. The system includes an in-memory cache to boost efficiency and reduce API calls, with support for both stdio and HTTP transport layers for maximum flexibility.

1 3 MCP

12

Graphlit MCP Server

Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

369 49 MCP

13

Semgrep MCP Server

A Model Context Protocol server powered by Semgrep for seamless code analysis integration.

Semgrep MCP Server implements the Model Context Protocol (MCP) to enable efficient and standardized communication for code analysis tasks. It facilitates integration with platforms like LM Studio, Cursor, and Visual Studio Code, providing both Docker and Python (PyPI) deployment options. The tool is now maintained in the main Semgrep repository with continued updates, enhancing compatibility and support across developer tools.

611 54 MCP

14

MCP Manager for Claude Desktop

A desktop app to manage Model Context Protocol (MCP) servers for Claude Desktop on MacOS.

MCP Manager for Claude Desktop provides a user-friendly interface to manage Model Context Protocol (MCP) servers, enabling Claude to access private data, APIs, and local or remote services securely from a MacOS desktop. It facilitates rapid configuration and integration with a wide variety of MCP servers, including productivity tools, databases, and web APIs. The app runs locally to ensure data privacy and streamlines connecting Claude to new sources through simple environment and server settings management.

270 41 MCP

15

Vectorize MCP Server

MCP server for advanced vector retrieval and text extraction with Vectorize integration.

Vectorize MCP Server is an implementation of the Model Context Protocol (MCP) that integrates with the Vectorize platform to enable advanced vector retrieval and text extraction. It supports seamless installation and integration within development environments such as VS Code. The server is configurable through environment variables or JSON configuration files and is suitable for use in collaborative and individual workflows requiring vector-based context management for models.

97 21 MCP

16

Hacker News MCP Server

An MCP server for accessing and analyzing Hacker News stories, comments, and users.

Hacker News MCP Server implements the Model Context Protocol to provide tools for fetching and searching Hacker News stories, retrieving story comments, and accessing user information. It integrates seamlessly with AI assistants like Claude Desktop and supports use via Smithery. The server is designed for structured information retrieval, contextual exploration, and summarization of Hacker News content.

55 17 MCP

17

mcp-get

A command-line tool for discovering, installing, and managing Model Context Protocol servers.

mcp-get is a CLI tool designed to help users discover, install, and manage Model Context Protocol (MCP) servers. It enables seamless integration of Large Language Models (LLMs) with various external data sources and tools by utilizing a standardized protocol. The tool provides access to a curated registry of MCP servers and supports installation and management across multiple programming languages and environments. Although now archived, mcp-get simplifies environment variable management, package versioning, and server updates to enhance the LLM ecosystem.

497 103 MCP

18

Kagi MCP Server

Integrate Kagi Search and Summarization as Model Context Protocol tools.

Kagi MCP Server enables easy integration of Kagi's search and summarization capabilities with AI systems via the Model Context Protocol. It facilitates tool-based queries such as searching web results or summarizing content, and offers setup instructions for various platforms including Claude Desktop. Users can install and configure the server through package managers, Smithery, or direct Python environments. The project provides configurable environment variables for API access and summarization engine selection, supporting both local development and production usage.

216 24 MCP

19

Lucidity MCP

Intelligent prompt-based code quality analysis for AI coding assistants.

Lucidity MCP is a Model Context Protocol (MCP) server that empowers AI coding assistants to deliver high-quality code through intelligent, prompt-driven analysis. It offers comprehensive detection of code issues across multiple quality dimensions, providing structured and actionable feedback. With language-agnostic capabilities, extensible framework, and flexible transport options, Lucidity MCP seamlessly integrates into developer workflows and AI systems.

72 20 MCP

20

MCP Web Research Server

Bring real-time web research and Google search capabilities into Claude using MCP.

MCP Web Research Server acts as a Model Context Protocol (MCP) server, seamlessly integrating web research functionalities with Claude Desktop. It enables Google search, webpage content extraction, research session tracking, and screenshot capture, all accessible directly from Claude. The server supports interactive and guided research sessions, exposing session data and screenshots as MCP resources for enhanced context-aware AI interactions.

284 73 MCP

21

Code Declaration Lookup MCP Server

Fast, language-agnostic code declaration search and lookup server via MCP.

Provides a Model Context Protocol (MCP) server that indexes code declarations using universal ctags and SQLite with FTS5 full-text search. Offers search and listing functionality for functions, classes, structures, enums, and other code elements across any language supported by ctags. Enables seamless integration with coding agents for dynamic indexing, respects .gitignore, and supports ctags file ingestion and management.

2 1 MCP

22

Slite MCP Server

Bridge Slite notes with AI model context using the MCP standard.

Slite MCP Server implements the Model Context Protocol to interface with Slite's API, enabling seamless search, retrieval, and hierarchical browsing of workspace notes. It exposes standardized tools for searching notes, retrieving content by ID, and navigating note structures, making Slite content programmatically accessible to contextual AI pipelines. Built in Node.js and TypeScript, it is configurable and supports authentication via API key.

0 0 MCP

23

WebSearch-MCP

Real-time web search for AI assistants via Model Context Protocol.

WebSearch-MCP is a Model Context Protocol (MCP) server that enables real-time web search capabilities for AI assistants through the stdio transport. It connects with a web crawler API to retrieve up-to-date search results and serves these results to AI models like Claude. The solution offers straightforward configuration and seamless integration with various MCP clients, enhancing AI model access to current and relevant external information.

19 7 MCP

24

Clojars MCP Server

Fetch and manage Clojars dependency data via MCP for Claude and other AI tools.

Clojars MCP Server is a Model Context Protocol (MCP) server that enables tools like Claude to fetch up-to-date dependency information from Clojars, the Clojure community artifact repository. It provides standardized MCP tools to retrieve the latest versions of dependencies, check if specific versions exist, and access version histories. Designed for easy integration with AI coding assistants, it supports direct installation and seamless connectivity to Claude via MCP settings.

5 6 MCP

25

In Memoria

Persistent memory and instant context for AI coding assistants, integrated via MCP.

In Memoria is an MCP server that enables AI coding assistants such as Claude or Copilot to retain, recall, and provide context about codebases across sessions. It learns patterns, architecture, and conventions from user code, offering persistent intelligence that eliminates repetitive explanations and generic suggestions. Through the Model Context Protocol, it allows AI tools to perform semantic search, smart file routing, and track project-specific decisions efficiently.

94 17 MCP

26

Inspektor Gadget MCP Server

AI-powered Kubernetes troubleshooting via Model Context Protocol.

Inspektor Gadget MCP Server provides an AI-powered debugging and inspection interface for Kubernetes clusters. Leveraging the Model Context Protocol, it enables intelligent output summarization, one-click deployment of Inspektor Gadget, and automated discovery of debugging tools from Artifact Hub. The server integrates seamlessly with VS Code for interactive AI commands, simplifying Kubernetes troubleshooting and monitoring workflows.

16 1 MCP

27

MCP Claude Hacker News

Seamless Hacker News integration for Claude Desktop via Model Context Protocol.

MCP Claude Hacker News is an MCP server that enables Claude Desktop to access, browse, and interact with Hacker News content. It allows users to view the latest, top, and best-rated stories, retrieve detailed information, and read story comments in a clean, structured format. Designed for easy integration, it supports both manual launch and automated startup with Claude Desktop.

9 7 MCP

28

Mem0 MCP Server

Structured management of coding preferences using Mem0 and Model Context Protocol.

Mem0 MCP Server implements a Model Context Protocol-compliant server for storing, retrieving, and searching coding preferences. It integrates with Mem0 and offers tools for persistent management of code snippets, best practices, and technical documentation. The server exposes an SSE endpoint for clients like Cursor, enabling seamless access and interaction with coding context data.

506 104 MCP

29

GistPad MCP

Manage and share personal knowledge and reusable prompts via GitHub Gists with MCP compatibility.

GistPad MCP is an MCP server designed for managing, organizing, and sharing personal knowledge, daily notes, reusable prompts, and more through GitHub Gists. It integrates with clients like the GistPad VS Code extension and web apps, allowing users to interact with their gists using standardized MCP tools across MCP-enabled AI products. The project features comprehensive gist management, daily notes, collaboration, and prompt creation to streamline knowledge workflows with AI-enabled context. Seamless onboarding is supported via personal access tokens and simple configuration.

168 24 MCP

30

Maigret MCP Server

OSINT username and URL search server for the Model Context Protocol.

Maigret MCP Server provides Model Context Protocol (MCP) integration for the Maigret OSINT tool, enabling AI and context-aware applications to search for usernames across hundreds of social networks and analyze URLs. Designed for seamless operation with MCP-compatible clients like Claude Desktop, it supports multiple output formats and advanced filtering options. The server can be installed via Docker or npm, offers Docker-based deployment for consistent performance, and facilitates responsible OSINT research.

205 29 MCP

31

NYTimes Article Search MCP Server

Search New York Times articles via a Model Context Protocol server.

NYTimes Article Search MCP Server is a TypeScript-based implementation of the Model Context Protocol that enables searching for New York Times articles from the past 30 days using keywords. It integrates with the official New York Times API and exposes a tool for streamlined article queries. Designed for use with systems like Claude Desktop, it includes support for installation via Smithery and provides development utilities such as an inspector for debugging MCP communication. The server handles MCP requests over stdio and securely accesses the NYT API via environment variables.

15 9 MCP

32

MCP Server Giphy

MCP-compatible Giphy API server for AI models to search and retrieve GIFs.

MCP Server Giphy provides an MCP-compliant server interface for accessing GIFs from the Giphy API, specifically tailored for seamless integration with AI models. It supports content filtering, multiple retrieval methods (search, trending, random), and optimized response formats with comprehensive metadata. The server enables AI applications to search, retrieve, and utilize GIF content efficiently, and is easily configurable with tools like Claude Desktop.

22 8 MCP

33

ghidraMCP

MCP server enabling LLMs to autonomously reverse engineer binaries via Ghidra.

ghidraMCP acts as a Model Context Protocol (MCP) server, exposing core Ghidra reverse engineering functionality for use by large language models. It enables model clients to perform actions such as decompilation, binary analysis, and automated renaming of methods and data. The system integrates as both a Ghidra plugin and a Python MCP server, supporting interoperability with various MCP-compliant clients. By bridging Ghidra and MCP, it allows autonomous or semi-autonomous analysis of compiled application binaries.

6,483 499 MCP

34

Pinecone Assistant MCP Server

An MCP server for retrieving information from Pinecone Assistant.

Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) for seamless integration with Pinecone Assistant. It enables retrieval of information and supports configurable multiple result fetching. The server can be run via Docker or built from source with Rust and integrates with tools like Claude Desktop.

37 7 MCP

35

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

36

wcgw

Local shell and code agent server with deep AI integration for Model Context Protocol clients.

wcgw is an MCP server that empowers conversational AI models, such as Claude, with robust shell command execution and code editing capabilities on the user's local machine. It offers advanced tools for syntax-aware file editing, interactive shell command handling, and context management to optimize AI-driven workflows. Key protections are included to safeguard files, prevent accidental overwrites, and streamline large file handling, ensuring smooth automated code development and execution.

616 55 MCP

37

Taskade MCP

Tools and server for Model Context Protocol workflows and agent integration

Taskade MCP provides an official server and tools to implement and interact with the Model Context Protocol (MCP), enabling seamless connectivity between Taskade’s API and MCP-compatible clients such as Claude or Cursor. It includes utilities for generating MCP tools from any OpenAPI schema and supports the deployment of autonomous agents, workflow automation, and real-time collaboration. The platform promotes extensibility by supporting integration via API, OpenAPI, and MCP, making it easier to build and connect agentic systems.

90 20 MCP

38

Reddit Summarizer MCP Server

Summarize Reddit content through a Model Context Protocol server.

Reddit Summarizer MCP Server provides an MCP-compliant server interface for summarizing Reddit homepages, specific subreddits, and comments on individual posts. It enables users to extract concise reports from Reddit using customizable parameters such as sorting methods, comment inclusion, and post limits. The tool is designed to integrate with MCP clients like Claude Desktop and leverages the Reddit API for data retrieval. Support for environment variables and structured prompts ensures adaptability for a variety of summarization needs.

11 2 MCP

39

Apple Books MCP

Model Context Protocol server for integrating and managing Apple Books data with AI assistants.

Apple Books MCP is a server implementation of the Model Context Protocol (MCP) that enables AI assistants to access, organize, and interact with Apple Books data such as collections, books, highlights, notes, and annotations. It provides standardized tools for retrieving and searching book-related data, supporting integration with platforms like Claude Desktop. Designed for easy setup with Python or uv, it facilitates context-aware AI capabilities for reading and annotation workflows.

33 5 MCP

40

YouTube MCP Server

Connect YouTube subtitles to Claude via the Model Context Protocol.

YouTube MCP Server integrates with Claude AI by providing a bridge between YouTube subtitles and the Model Context Protocol. It utilizes yt-dlp to download video subtitles and makes this context accessible through MCP-compliant interactions with Claude. Designed for easy installation with mcp-installer, it enables Claude to process and summarize YouTube videos directly from their URLs.

468 57 MCP

41

Agentset MCP

Open-source MCP server for Retrieval-Augmented Generation (RAG) document applications.

Agentset MCP provides a Model Context Protocol (MCP) server designed to power context-aware, document-based applications using Retrieval-Augmented Generation. It enables developers to rapidly integrate intelligent context retrieval into their workflows and supports integration with AI platforms such as Claude. The server is easily installable via major JavaScript package managers and supports environment configuration for namespaces, tenant IDs, and tool descriptions.

22 10 MCP

42

TOD - TheOneDev CLI Tool

Streamlined DevOps and AI integration for OneDev 13+ via an advanced CLI and Model Context Protocol server.

TOD is a command-line tool designed for OneDev 13+ that enhances development workflows with CI/CD job execution against local changes or specific branches and tags. It features a comprehensive Model Context Protocol (MCP) server for integrating and communicating with AI assistants, allowing intelligent and natural interactions with OneDev. The tool also supports pull request management and build specification migrations, making it a versatile utility for developers seeking automation and AI-driven enhancements.

3 2 MCP

43

Gopher & Gemini MCP Server

A modern Model Context Protocol server for AI-driven exploration of Gopher and Gemini resources.

Gopher & Gemini MCP Server provides a secure and efficient bridge for AI assistants to interact with resources on vintage Gopher and modern Gemini protocols using the Model Context Protocol (MCP) standard. It is built with FastMCP, delivers structured JSON responses optimized for LLMs, and supports comprehensive protocol coverage with advanced security and performance features. The server implements robust safeguards, certificate validation, and works cross-platform with modern Python tooling.

4 1 MCP

44

Maven Tools MCP Server

Universal Maven Central dependency intelligence server for JVM build tools via the Model Context Protocol.

Maven Tools MCP Server provides an MCP-compliant API delivering rich Maven Central dependency intelligence for JVM build tools like Maven, Gradle, SBT, and Mill. It enables AI assistants to instantly analyze, interpret, and recommend updates, health checks, and maintenance insights by reading maven-metadata.xml directly from Maven Central. With Context7 integration, it supports orchestration and documentation, enabling bulk analysis, stable version filtering, risk assessment, and rapid cached responses. Designed for seamless integration into AI workflows via the Model Context Protocol.

14 2 MCP

45

MCP Jira Server for Claude Code

A full-featured Model Context Protocol server for integrating Jira with Claude Code.

Provides a comprehensive MCP server enabling seamless integration of Jira functionalities with Claude Code. Supports issue management, sprint operations, comments, attachments, batch processing, and agile workflows via a standardized protocol for model context. Designed for secure, environment-based configuration and optimized for both individual and batch operations within Jira.

5 5 MCP

46

Enrichr MCP Server

Gene set enrichment analysis server for LLMs via the Model Context Protocol

Enrichr MCP Server provides gene set enrichment analysis using the Enrichr API, supporting all available gene set libraries. It is designed to integrate with LLM tools through the Model Context Protocol and returns only statistically significant results. The tool allows queries across multiple biological, disease, tissue, drug, and pathway gene set libraries, with customizable configuration for popular or specific libraries. Installation and integration is streamlined for platforms like Claude Desktop, Cursor, and VS Code.

7 3 MCP

47

IP Geolocation MCP Server

Enables IP-based geolocation for AI workflows via MCP-compliant tooling.

IP Geolocation MCP Server provides a Model Context Protocol (MCP) server that integrates with the ipinfo.io API to fetch detailed IP address information. It allows obtaining location, organization, and network details about users, facilitating context-aware AI applications. The tool can be seamlessly installed or integrated in client environments supporting MCP, with a focus on simplicity and developer-friendliness.

36 13 MCP

48

Ancestry MCP Server

MCP server for managing and interacting with GEDCOM genealogy files

Ancestry MCP Server is a Python-based server that implements the Model Context Protocol (MCP) to enable operations on GEDCOM (.ged) genealogy files. It allows for reading, parsing, listing, renaming, and searching within GEDCOM files, primarily used for family history research. The server supports integration with tools like Claude Desktop and provides a standardized interface for programmatic access to ancestry data. Operations are restricted to user-specified directories for data safety.

27 5 MCP

49

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

50

MCP Simple PubMed

AI-accessible PubMed server with structured XML output

MCP Simple PubMed is a server implementing the Model Context Protocol (MCP) that enables AI models to access PubMed articles via the Entrez API. It provides capabilities for searching the PubMed database, retrieving article abstracts, and downloading full text for open access articles. The server returns articles in an XML format optimized for AI consumption, preserving document structure. Installation is available via Smithery or pip, and integration with tools like Claude Desktop is supported.

141 31 MCP

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