"Pivotal Tracker" matching MCP servers:

An MCP server that exposes the markdown issue tracker under .scratch/ as a queryable graph, letting agents see open, blocked, or takeable issues without re-parsing prose.

A project tracker for teams of humans and AI agents that coordinates work through plain files (markdown and JSONL), providing an MCP server for agents and a CLI for humans.

Self-hosted issue tracker built for agent-driven development. One binary, SQLite storage, MCP-native, with a web UI, REST API, and CLI for the humans.

Provides a document database with search, retrieval, and creation tools, and a task tracker with search and status filtering, enabling AI agents to manage documents and tasks via natural language.

🧠 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.

An MCP server that gives AI assistants persistent memory using an OpenAI vector store, enabling saving and semantic searching of text memories across sessions.

Enables agents to ground claims in enterprise knowledge by hashing source chunks, tracing claims back to their origins, validating clearance boundaries, and maintaining audit trails to support anti-hallucination workflows.

Enables AI agents to track, search, and retrieve their progress across projects with persistent memory using SQLite storage and LLM-powered summarization. Supports logging completed work, searching previous entries, and retrieving context for multi-step or multi-agent workflows.

Architectural decision tracker with staleness detection — records decisions and alerts when code changes invalidate them.

Gives your coding agent your team's issue tracker and the project's durable memory, both scoped to the folder you have open. The agent reads the open work and the gotchas the project already recorded before it starts, then writes back as it works.

Enables coding agents to query a temporal knowledge graph derived from a beads issue tracker via read-only Cypher queries, exposing current rules, supersession chains, and provenance without LLM API keys.

Gives Claude Code persistent career memory by storing a domain glossary and dated STAR impact entries in local JSON, and generating Brag Documents from the last N days of records. It stays area-, company-, and sector-agnostic, leaving all specialization rules to a surrounding agent.

Tracks commitments (promises made in conversations) and provides tools to add, list, mark as fulfilled, and check overdue items.

Automatically extracts technical concepts from AI coding conversations, organizes them into a searchable knowledge base with hierarchy and categories, and links them to specific locations in your codebase.

An enterprise-ready MCP server that provides persistent sentiment analytics, churn prediction, and automated risk alerting for customer conversations. Enables Claude to track sentiment trends, detect at-risk customers, generate reports, and maintain historical context across interactions.

Enables coding agents to maintain durable, private, local memory by storing and linking records across collections, with structured review, search, and audit history.

Self-hosted task tracker and MCP server for AI coding agents. Append-only case files preserve decisions, failed attempts, questions, and check results across sessions. A live web board lets people track progress and answer agents. Runs locally in Docker and connects to Claude Code, Codex, Cursor, and other Streamable HTTP MCP clients. MIT licensed.

Enables AI agents and MCP clients to start each session with a pre-assembled context pack of the project's Markdown notes, decisions, rules, Git and tracker state, and to write progress and decisions back as dated logs. Context is gathered locally by lookups and queries rather than model calls, so different tools like Claude Code, Codex, and Antigravity share the same memory without spending tokens on retrieval.

Enables cryptographic chunk hashing, reverse claim-to-source attribution, clearance boundary validation, and provenance audit trails for enterprise knowledge graphs to combat hallucinations.

A lightweight MCP server that provides cross-project progress tracking tools (list, refresh, read, update, mark) for agents to query and manage work status across multiple tracked projects.