Project Tracker MCP Server
Related Servers
Alternatives to Project Tracker MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceA file-backed MCP server for hierarchical project management that enables AI assistants to create, claim, and complete tasks within a project→epic→feature→task structure, with dependency management and Markdown-based storage.MIT
- AlicenseBqualityAmaintenanceA Jira-like project tracker MCP server for AI agents. SQLite-backed, per-project scoped, with full hierarchy and activity logging — so LLMs never lose track. No more scattered markdown files. saga-mcp gives your AI assistant a structured database to track projects, epics, tasks, subtasks, notes, and decisions across sessions.411,538 npm35MIT
- AlicenseBqualityCmaintenance🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.123MIT
- AlicenseAqualityDmaintenanceA local Model Context Protocol server providing backend tools for AI agents to manage projects and tasks with persistent storage in SQLite, enabling structured tracking of project tasks with dependencies, priorities, and statuses.129 npm25GPL 3.0
- AlicenseAqualityDmaintenanceA production-grade MCP server that gives AI agents safe, authenticated access to a PostgreSQL database.3MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.9 npm2MIT
TDQS
Scored across 40 tools
Each tool maps to a distinct entity and action (project, epic, story, issue, summary, status_update, context), so overlap is minimal. However, get_summary vs. get_project_summary and list_summaries vs. get_project_summary could cause some selection confusion.
All tool names follow a consistent snake_case verb_noun pattern (create_issue, list_projects, get_epic, delete_story, etc.). Compound entities like status_update are handled uniformly.
40 tools is excessive for a project tracker, even with seven entity types. The full CRUD/listing/search surface for every entity creates bloat and increases the risk of agent misselection.
The tool set provides complete CRUD coverage for projects, epics, stories, issues, summaries, status updates, and context, plus search and summary operations. No obvious lifecycle operations appear to be missing.