Coco AI is a unified search platform that integrates enterprise applications and data (such as Google Workspace, Dropbox, GitHub, etc.), providing cross-platform search and AI-driven team chat functions, aiming to improve work efficiency and collaboration experience.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

An implementation of a local proxy server and client based on the MCP platform, integrating multiple AI tool functions such as weather query, Google search, camera control, image generation, and intelligent dialogue, supporting modular expansion and high-performance concurrent processing.

Civitai MCP Server is a model context protocol service that provides comprehensive access to AI models on the Civitai platform, including functions such as searching for, browsing models, viewing creator information, and browsing generated content.

The Pulse CN MCP Server is an MCP protocol server that obtains real-time Chinese Internet popular content. It supports hot search data from 18 platforms such as Weibo and Today's Headlines, providing the latest Chinese trend information for AI models.

This project creates an AI agent based on the n8n platform that can discover and use Model Context Protocol (MCP) server tools through the Nostr network. The agent searches for available tools by querying Data Vending Machines (DVM) in the network, sends requests, and obtains responses, thereby expanding the functionality of the LLM to use MCP tools that are not installed.

Mobi MCP Server is a service based on the Model Context Protocol, used to enable the interaction between AI models and the Mobi knowledge management platform, providing functions such as search, data retrieval, content creation, and version control.

The MCP server officially provided by LAPRAS is used to access and operate job - seeking, work experience and other information on the LAPRAS platform through AI tools. It supports rapid deployment through npm or Docker and provides multiple functions such as job search and work experience management.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

MCP_Agent:RE is a Python project used to retrieve requirement and defect data from the TAPD platform and generate quality analysis reports. It provides a complete toolchain including data retrieval, preprocessing, vectorization, intelligent search, and report generation, and supports AI - driven test management.

The Kernel MCP Server is an open - source server based on the Model Context Protocol (MCP), providing AI assistants with secure access to Kernel platform tools and browser automation capabilities. It supports cloud application deployment, headless browser control, document search, etc., and uses OAuth 2.0 authentication to ensure security.

FastApply MCP Server is an enterprise-level code intelligence platform that provides comprehensive code analysis, search, and refactoring capabilities through local AI models, AST semantic search, security scanning, and intelligent pattern recognition. It supports multi-language development and large codebase processing.

The Zhiyan Platform is an open - source platform for agent communication and development, aiming to help AIGC enthusiasts better understand and develop Agents. The platform provides a variety of default Agent functions, such as email sending, information search, weather query, paper search, express delivery query, and document retrieval, and supports users to customize tools. The project supports quick startup and Docker deployment, and plans to add a tool store and automatic build functions in the future.

SpaceBridge-MCP is an MCP server integrated with the SpaceBridge REST API, used for automatically managing issues in cross - platform issue trackers. It allows developers to search, create, and view issues directly in the development environment through an AI assistant, reducing context switching and providing intelligent issue duplicate checking.

The JFrog Remote MCP Server integrates the capabilities of the JFrog platform into the development environment, connects AI systems with external tools through a standardized protocol, and provides functions such as resource management, artifact search, and security monitoring.

The Naver Search MCP Server is a multi - platform communication protocol service that provides access to Naver Search APIs, supports searching for various types of content such as blogs, news, books, and images, and optimizes structured text responses for AI agents.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that cover a variety of tools and integrations, including browser automation, art and culture, cloud platforms, command - line, communication, customer data platforms, databases, developer tools, file systems, fintech, knowledge and memory, location services, monitoring, search, security, travel and transportation, version control, etc. MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized servers.

mcp-server-linear is an intermediate server that connects client applications with the Linear platform, providing a standardized MCP interface to access and manage Linear resources such as issues and projects. It supports two authentication methods, API Key and OAuth, includes full CRUD operations, advanced search functions, and can be integrated with multiple AI assistants.

The ChainFETCH MCP server provides API access to the Ethereum blockchain smart platform, integrating AI semantic search, real-time block streaming, and multi-modal query functions, supporting comprehensive analysis of addresses, transactions, blocks, tokens, and smart contracts.

This is a comprehensive collection of Model Context Protocol (MCP) servers, covering multiple categories such as AI services, art and culture, browser automation, cloud platforms, cloud storage, command lines, communication, customer data platforms, data science tools, databases, developer tools, file systems, finance, games, knowledge and memory, location services, marketing, monitoring, notes, other tools and integrations, research and data, search, security, social media, system automation, travel and transportation, version control, and workflow automation.

The HackTheBox MCP Server is a tool that provides AI assistants with programmatic access to the HackTheBox platform's functionality, including 12 functional modules such as challenge management, machine management, user management, and search.

A local proxy server and client implementation based on the MCP platform, integrating the ability to call multiple AI tools such as weather query, Google search, camera control, AI image generation, and intelligent dialogue, supporting cross-platform operation and modular expansion.

The Civitai MCP Server is a protocol server that provides AI assistants with comprehensive access to AI models, creators, and generated content on the Civitai platform, supporting browsing, searching, and discovering various AI models.

The JobSpy MCP server is a tool that provides cross - platform job search functionality for AI assistants through the Model Context Protocol (MCP), supporting job searches on multiple platforms and structured data output.

An MCP server for searching two major second-hand trading platforms in Sweden, Blocket and Tradera, providing unified second-hand product search and data retrieval functions for AI assistants

The MCP Linear App is an AI tool that integrates with Linear through the Model Context Protocol (MCP), allowing AI assistants to directly interact with the Linear platform to achieve functions such as issue searching, creating, updating, and commenting.

This project is an MCP server implemented for the Dev.to platform, allowing AI assistants to access and interact with Dev.to content, including functions such as getting articles, searching, creating, and updating articles.

This project is a YouTube music control server based on the Model Context Protocol, which implements music search and playback functions through an AI model and supports cross - platform operations (mainly for Chrome automation on macOS).

Memara MCP integration guide to help users connect AI assistants with Memara to achieve cross - platform memory storage, search, and synchronization functions.

The Gopher MCP Server is an AI service based on the model context protocol, providing the function of searching Twitter data through the Gopher AI platform, supporting natural language queries and configurable search result quantities.

DeepChat is a powerful cross - platform AI assistant that supports the deployment of multiple cloud LLMs and local models, and has rich chatbot functions and search extension capabilities.