plandb MCP Server
Agent-Field/plandb
[](https://agentrank-ai.com/tool/Agent-Field--plandb/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) The issue tracker your AI agents are missing. Think Linear or Jira, but for your Claude Code..
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Agent-Field/plandb is a Rust tool licensed under Apache-2.0. The issue tracker your AI agents are missing. Think Linear or Jira, but for your Claude Code.. Topics: ai-agents, cli, llm, mcp, orchestration, rust, sqlite, task-graph, task-management, agent-coordination, agentic, autonomous-agents, dependency-graph, developer-tools, issue-tracker, multi-agent.
Ranked #6730 out of 24846 indexed tools.
Ecosystem
Score Breakdown
106 stars → growing community
Last commit 1mo ago → moderate activity
3/9 issues closed → many open issues
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
<div align="center"> # PlanDB ### **The issue tracker your AI agents are missing.** Linear and Jira were built for humans planning at human speed. Your agents decompose tasks mid-flight, parallelize across branches, and pivot entire subtrees when an approach fails — they need infrastructure that keeps up. PlanDB is that infrastructure. Local-first, single binary, SQLite-backed. No cloud, no accounts, no setup. **[Install](#install)** · **[Demo](#see-it-work)** · **[Architecture](docs/ARCHITECTURE.md)** · **[Examples](examples/)** </div> --- Your agents have no issue tracker. No dependencies. No sprints. No idea what to work on next. They start coding before the schema exists, duplicate each other's work, and forget everything between sessions. PlanDB gives them one — like giving every agent their own Linear workspace, except it's a single binary that runs anywhere. ## Install One command. Your agents start using it immediately — no config, no copy-paste, no prompt engineerinRead full README on GitHub →
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