"A project management and issue tracking tool" matching MCP servers:

Enables automatic GitHub issue creation from Git diffs. Generates structured issue templates with summaries, technical notes, and appropriate labels based on code changes.

Connects Claude Code and Claude Desktop to a user's self-hosted bug-tracking service via a personal token, enabling bug reporting, queue and image review, status changes, PR/build link attachment, and QC verification. Permissions and workflow rules come entirely from the connected server.

Enables supervised creation of tracking stack resources—WhatConverts accounts/profiles, GA4 properties, and GTM containers—with dry-run-by-default writes, duplicate-name refusal, rate limiting, and an append-only action log.

Read-only MCP server that fetches a single Jira issue by key and returns its title, description, comments, attachment summary, and image attachments.

Enables natural language time tracking through Claude with markdown file storage. Supports multi-company tracking, flexible time parsing, auto-calculated summaries, and commitment warnings all through conversational input.

A MCP server that bridges LLMs with GitHub repository management, enabling automated analysis of pull requests, issue management, tag creation, and release management through natural language.

Enables AI clients to list, retrieve, create, update, and delete tracked issues through MCP tools that call an underlying FastAPI REST API over HTTP. Issue status and priority values are validated, and API or network failures surface as MCP tool errors.

MCP server for Linear that enables creating, searching, updating, and commenting on issues, as well as accessing issues, teams, and user data. Integrates with Claude Desktop and other MCP clients.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

Enables interaction with a local SQLite-backed issue tracker, offering full CRUD operations (search, fetch, summarize, create, comment, close/reopen) with team-scoped visibility, authorization, rate limiting, and audit logging.

Enables AI coding agents to file and track issues, plan epics with steps, comment as they work, and hand decisions back to the user through a local Markdown- and YAML-backed issue tracker.

Enables AI assistants to manage project analysis, code metrics, documentation, Git operations, code quality, and file organization through natural language commands.

A simple MCP server built with MCPize providing hello and echo tools for demonstration purposes.

A Model Context Protocol server that enables coding agents to search for and record software issue fixes with semantic search using natural language queries.

A minimal MCP server that enables AI assistants to manage a kanban issue board. It provides tools for listing, creating, updating, and deleting issues with support for both local development and team deployments.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Project Memory stores decisions, evidence, outcomes and reviewed lessons in local SQLite. Assistants retrieve bounded context through three MCP tools. People follow and plan work in a live workspace with an overview, sprint board, decision history, readable documents, skills and project maps. Offline exports remain available.

A production-ready MCP server for Google Tag Manager, GA4 Measurement Protocol, DataLayer schema validation, Meta CAPI auditing, and tracking code snippet generation.

Intent-based project documentation server that automatically maps natural language queries to the right sources (plans, todos, roadmap, docs) and provides comprehensive task management with dependency tracking, backlog promotion, and archival workflows.