"A tool or platform for managing Jira" matching MCP servers:

A Jira Server/Data Center MCP server for issue management, workflow analysis, and field discovery, using JQL and REST API v2 with PAT authentication.

MCP server providing tools to read and write Jira Cloud issues, including a bridge to GitHub commits for tracing issues to code.

A Model Context Protocol (MCP) server for GitLab and Jira integration. This server allows AI agents like gemini-cli to interact with your GitLab and Jira instances.

Enables an AI coding agent to scan a day's git commits across work repositories and group them into Jira tickets, creating or updating them with estimates and logged time. It also surfaces actionable, categorized errors so an agent knows what failed and whether to retry.

A Scrum-aware MCP server that provides semantic analysis of Jira issues, sprint health, and Agile workflow intelligence, returning structured summaries and recommendations instead of raw Jira payloads.

Enables AI agents to manage self-hosted Atlassian Jira Server/Data Center issues and Bitbucket Server/Data Center repositories, pull requests, branches, commits, and files through MCP tools.

Enables searching GitHub repositories, fetching readable web page text, and querying a local book database through MCP tool calls.

An MCP server for end-to-end Jira and GitHub integration, enabling AI agents in the IDE to automate workflows from issue tracking to pull request management.

Enables managing GitHub repositories, files, and user information through MCP, with support for creating, updating, and deleting repository contents, as well as fetching user profiles.

Odds are, most of what you want to build is already open source. Tell your AI agent what you're making, and it finds it: which repos to use as they are, which to adapt, and what's left for you to write. Every repo it names is real, licensed for your use or flagged, and checked live.

Enables AI assistants to interact with Gitea repositories through intelligent tools for issue/PR management, workflow analysis, compliance checking, and content generation, plus 200+ CLI commands for complete CRUD operations.

Enables AI agents to interact with Jira and GitHub through MCP tools, including searching, creating, commenting on, and transitioning Jira issues and listing pull requests, summarizing diffs, creating issues, and commenting on GitHub.

Enables seamless integration with GitLab and Jira Server/Data Center via MCP, using Bearer token authentication and REST API v2, supporting both on-premise instances.

Enables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.

Local MCP server enabling Codex and ChatGPT to read/write files, execute commands, manage processes, use Git, and inspect images on the user's machine with full privileges.

A modular MCP server integrating Jira and GitHub to automate developer workflows, enabling AI agents to manage issues, branches, commits, and pull requests directly from the IDE.

Enables AI agents and humans to read a project's kickoff card, acceptance criteria, handoff package, progress, Git trail, and next step, then append audited, idempotent progress events that are committed to the project's Git record. Access is scoped per project through short-lived, revocable credentials, keeping high-risk actions outside the tool surface for human approval.

Enables users to read and manage GitHub repositories through MCP, with destructive operations gated behind explicit confirmation and dry-run previews.

Enables AI models to perform comprehensive Git repository management including cloning, file operations, branching, committing, and pushing changes via a secure FastMCP interface. It features built-in workspace isolation and rigorous input validation to ensure production-ready repository control.

A modular, extensible MCP multi-server hub that gives LLMs sandboxed file access, Git operations, web fetching, and persistent memory, deployable via Ansible.