The Linear MCP Server is a deprecated Model Context Protocol server used to integrate with the Linear issue tracking system through the MCP protocol, allowing LLMs to interact with Linear issues.

Cycode CLI is a locally installed application used to scan code repositories for security vulnerabilities, including sensitive information leakage, Infrastructure as Code misconfigurations, Software Composition Analysis vulnerabilities, and Static Application Security Testing issues. This tool supports multiple scan types, such as repository scanning, path scanning, and commit history scanning, and provides an ignore rule function to exclude specific results.

The Gemini Cloud Assist MCP server is a tool that connects MCP clients with the Google Cloud Gemini Cloud Assist API, allowing users to understand, manage, and troubleshoot Google Cloud environment issues using natural language.

An MCP tool for retrieving and analyzing Sentry issues, supporting the retrieval of a single event or a list of project events, facilitating LLM analysis or processing.

The Azure Impact Reporting MCP Server is a tool that allows large language models to automatically parse user requests and submit reports on Azure resource issues. It supports multiple impact categories and automatically handles authentication and parameter extraction.

An MCP server that integrates the Backlog API, providing project management, issue tracking, and Wiki operation functions

A server - side implementation of the Linear issue tracking system based on the MCP protocol, providing functions to access Linear through a standardized interface

Web Application Penetration Testing MCP is a comprehensive tool focusing on the analysis of business logic security vulnerabilities. Through systematic crawling and analysis, it can identify security issues that standard scanners cannot detect.

An MCP server integrated with the ClimateTriage API, providing tools to search for open-source issues related to climate change and sustainable development.

Authorize access to Linear through the standard OAuth 2.0 process, and implement the functions of creating, updating, and listing issues on the MCP client.

The VibeCheck Web testing tool is an AI-driven web testing agent designed to simplify the web testing process for developers. It integrates with AI programming assistants through the MCP protocol, supporting automated test recording, execution, and discovery, and helping developers quickly identify and fix code issues.

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect an AI assistant with the GraphQL API of the Linear project management system, supporting functions such as issue tracking and project management.

This is an MCP server project that provides tools for interacting with Linear through the MCP client, including functions such as searching, creating, and updating issues. It supports Bun and Node running environments and can be compiled into an independent executable file.

A high-performance Python implementation of the MCP server, focusing on memory optimization and infrastructure component tracking, supporting Claude Desktop integration but archived due to specification issues.

An MCP server for JIRA data access, providing relationship tracking, optimized data payloads, and AI context data cleaning functions, supporting operations such as issue search, creation, update, and attachment management.

An MCP server built on Deno and TypeScript, providing context information related to Terragrunt documentation and GitHub issues, aiming to improve IDE support and AI assistance accuracy when writing IaC configurations.

The GitHub Kanban MCP Server is an MCP server that converts GitHub issues into a kanban - style management system, specifically designed for LLM task management optimization.

The Yandex Tracker MCP Server is a Model Context Protocol service that enables AI assistants to interact with the Yandex Tracker API, supporting queue management, user management, issue operations, and advanced search functions, and providing secure authentication access and performance caching.

The JIRA MCP Server is an intermediate service that enables large - language models to interact with JIRA, supporting JQL search and issue detail retrieval.

The MCP Code Checker Server provides code quality checking functions, including Pylint and Pytest checks, and supports AI assistants to analyze code issues and generate repair suggestions.

This project integrates LLM with GitHub repository management functions through the Model Context Protocol (MCP) standard, providing automated tools such as PR analysis, issue tracking, tag, and version management to optimize team workflows.

This project implements an MCP server that connects Claude and the Linear task management system, providing functions such as getting tickets, creating issues, and adding comments, and supporting integration with multiple development environments.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

MCP Jira is an integration service designed for Jira Cloud, providing the function of searching for and reading Jira issues. It does not support Jira Server or Data Center.

An MCP server tool that provides retrieval of SonarCloud issues related to pull requests

The Redmine MCP Server is an experimental plugin that provides model context protocol services based on server - side events, supporting functions such as issue listing and wiki page reading.

Overview: This README.md file provides an overview of the MCP protocol and its components, including Hosts, Clients, Servers, local data sources, and remote services. It also demonstrates how to create a GitHub MCP Server to search for repositories, issues, and create new issues. In addition, it includes an example of integrating the MCP protocol with an SQLite database.

An MCP server that allows LLMs to use GitHub issues as a task source

Lucidity is a Model Context Protocol (MCP) server that aims to improve the quality of AI-generated code through intelligent prompt analysis. It provides structured guidance to help identify and resolve code quality issues, supports multiple programming languages, and can seamlessly integrate with AI assistants.

The Sentry MCP server is a tool that integrates Sentry error tracking into the development workflow, providing version monitoring, health statistics, and issue investigation capabilities, and supporting cloud - based and self - hosted Sentry instances.

A TypeScript - based implementation of the JIRA MCP Server, providing functions such as JQL search and issue retrieval, and supporting seamless integration with the Model Context Protocol.

A containerized Python MCP server that provides Cursor with access to Jira project management tools, supporting functions such as issue search, project management, board and sprint management.

The Gitee MCP Server is a model context protocol server implemented for the Gitee platform, providing a toolset for managing repositories, issues, pull requests, and other functions.

The ZeroPath MCP Server is an open-source project that allows developers to query security findings such as SAST issues, secrets, and patches using natural language, and directly integrate them into AI-assisted tools. It simplifies the process of handling security issues, providing security context directly in the development environment without the need for manual dashboard or ticket management.

This project is a Linear integration server based on the Model Context Protocol (MCP), providing issue tracking and project management functions, supporting operations such as creating, searching, updating issues, and managing sprint cycles.

GitHub issue similar search assistant

This project guides developers on how to integrate the MCP service with GitHub Copilot to extend the capabilities of the AI-assisted development workflow. Through less than an hour of learning, users will set up the GitHub MCP server, implement Copilot proxy mode integration, and complete the full process practice from issue research to code submission.

The Bugsnag MCP Server is a model context protocol service for interacting with Bugsnag, allowing LLM tools like Cursor and Claude to investigate and resolve issues in Bugsnag, providing error monitoring, code intelligence analysis, and issue management functions.

An MCP service for retrieving and analyzing Sentry issues, supporting the retrieval of a single event or a list of project events, facilitating LLM analysis or processing.

A web accessibility detection MCP service based on axe-core that can integrate an AI assistant to automatically fix issues