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Coding Agent Project Management MCP Server ★ New (July 14)

Project management built for the AI coding agent era. Manage bugs, features, sprints, and cross-tenant contracts through 71 MCP tools — purpose-built for operators who orchestrate AI-assisted development workflows across multiple agents and projects.

Source: mcp.so (exact repo TBD — GitHub search API rate-limited) Submitted: July 14, 2026

Key Features

  • 71 MCP tools: Comprehensive project management operations accessible from any MCP client
  • Bug tracking: Create, assign, and track bugs across coding agents
  • Feature management: Define, prioritize, and track features through development
  • Sprint planning: Organize work into sprints with agent-aware assignment
  • Cross-tenant contracts: Manage work across multiple clients or teams
  • Agent-native: Designed for AI coding agents to interact with, not just humans

Business Relevance

As AI coding agents (Claude Code, Codex, Cursor) become integral to development workflows, traditional project management tools built for humans don't fit. This MCP server bridges that gap — your AI agents can read tasks, update status, and track progress programmatically while humans maintain visibility through the same interface.

Essential for: - Engineering managers overseeing AI-assisted development teams - Agencies managing multiple client projects with AI coding agents - Solo developers orchestrating multiple AI agents across projects - DevOps teams integrating AI agent workflows into existing pipelines

Integration with CorpusIQ

Pair with CorpusIQ's project management and time-tracking connectors to connect AI agent activity with business operations. Track agent-assisted development costs against project budgets. Monitor AI coding agent productivity across client engagements.

Limitations

  • Exact GitHub repo TBD (GitHub search API rate-limited as of July 14)
  • 71 tools is extensive but may overlap with existing PM tools already in stack
  • Adoption requires teams comfortable with AI agents managing project state
  • Learning curve for configuring agent-appropriate workflows