"Information about Jira Integration" 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.

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.

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 AI agents to interact with GitHub through OAuth-authenticated operations including starting authorization flows, listing repositories, and creating issues using stored access tokens.

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

Enables automated GitHub issue querying and repository tool actions through natural language, powered by Groq Llama-3 and the GitHub REST API.

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.

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 secure integration between GitHub and Jira with permission controls, allowing users to manage repositories, create issues and pull requests, and handle Jira project workflows through natural language. Supports OAuth authentication and comprehensive security enforcement for both platforms.

A read-only MCP server that securely serves Jira (Server/Data Center) data to Claude Code without exposing the personal access token, with optional GitLab integration.

This MCP server connects GitLab projects and merge requests with Jira work tracking, Confluence pages, and Grafana dashboards. It provides read-only access to GitLab, Confluence, and Grafana, while Jira mutations require explicit confirmation.

Enables read-only access to GitLab and Jira data through MCP, allowing users to list projects, merge requests, issues, and search Jira tickets via natural language queries. Provides safe, structured access to project management data without write permissions.

Extracts diffs from GitHub Pull Requests, allowing users to retrieve and analyze changes between branches in a repository.

Enables querying live weather, retrieving programming jokes, accessing GitHub user profiles and repository searches, and making custom HTTP requests to any API endpoint.

Fetches GitHub pull request information including file changes, diffs, and metadata, then creates analysis summaries in Notion pages.

Enables AI models to interact with Linear for issue tracking and project management through capabilities like creating/searching issues, managing sprints, and retrieving workflow states.

Enables AI assistants to interact with GitHub repositories via the REST API, supporting repository listing, detail retrieval, and issue management.

Enables querying any GitHub, GitLab, or Bitbucket repository and getting AI-generated answers about the codebase, powered by Gemini.

Enables asking natural-language questions about any GitHub repository and receiving answers grounded in the actual code, with read-only enforcement and automatic repository fetching.

A deterministic MCP server that reimplements ai-git-fish workflows (aicommit, aibranch, aipr) with Leantime integration, enabling Claude Code and Codex to perform git operations and manage tickets without an internal LLM.

An integration tool that enables AI assistants like Claude to directly access and interact with Bitbucket repositories, pull requests, and code without requiring copy/paste operations.

Semantic git queries via MCP. Beyond git log — answer who/what/why about any line, file, or branch with blame, co-change, PR linkage.

Enables natural-language queries about public GitHub repositories, including issues, pull requests, repo metadata, and READMEs, via the GitHub API.

Generates daily standup drafts from your actual GitHub, Jira, Linear, and Slack activity, grouping work items and detecting blockers.

Fetches glasz-style spec files (product.md, tech.md, test-plan.md, and INDEX.md) from GitHub repositories, enabling LLMs to answer questions about features, stories, and acceptance criteria without cloning or pasting files.

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist

Enables code search across indexed repositories using regex patterns, with pagination, repository listing, and file context retrieval via Hound integration.

Enables AI agents to ask read-only questions about a repository's history through GitHub APIs, including blame, path history, merge base, PR association, diffs, and file contents, with aggressive caching and no clone required.

An MCP server that caches your GitHub starred repositories in a local SQLite database and lets you search, list, and retrieve details about them through any MCP client (Claude Desktop, Cursor, VS Code, etc.), with automatic freshness checks via GitHub's ETag mechanism.

Local-first dev memory: indexes Git commits, PRs, Jira/Linear tickets, Confluence docs, Slack threads, and Calendar events into a local SQLite/FTS5/ONNX index, and exposes them as MCP tools so Claude Code, Cursor, and Codex can search and cite your past work.

Enables natural-language interaction with self-hosted Jira and Bitbucket, providing tools for ticket management, pull requests, code review, and git context.

MCP server for DCI API enabling AI models to extract and analyze DCI jobs, components, and topics, with integrations for Google Drive, Jira, GitHub, and Red Hat support cases.

Enables comprehensive GitLab integration allowing LLMs to manage projects, issues, merge requests, repository files, CI/CD pipelines, and perform batch operations. Supports advanced features like AI-optimized summaries, smart diffs, and atomic operations with rollback support.

MCP server integrating Google Search Console, Google Analytics 4, and GitHub, enabling AI clients to query search analytics, traffic data, and repository information.

Python MCP server for GitHub operations, providing native tool integration with Claude Code and other MCP clients. It enables managing issues, pull requests, CI status, milestones, and batch operations via natural language.