Agent‑MCP Server

Example Use Cases

• 1

  Coordinate parallel development work (create agents, assign tasks, monitor progress) via MCP-compatible clients.

• 2

  Query and update a persistent, searchable project knowledge graph (RAG) so implementations remain context-aware and versioned.

• 3

  Integrate with external tools (Claude Desktop, VS Code, CI/CD) to expose agent management and task orchestration endpoints.

Description

Agent‑MCP implements the Model Context Protocol (MCP) to let external MCP clients spawn, manage, and coordinate multiple specialized AI agents for parallel software development. It provides a persistent, searchable memory (RAG) as a single source of truth, file‑level locking, task orchestration, agent lifecycle rules, and a real‑time dashboard for monitoring. The design emphasizes ephemeral agents with minimal context to reduce hallucinations, improve safety, and enable deterministic, parallel work streams. It is distributed under AGPL‑3.0 and integrates with tools like Claude Desktop, VS Code, and CI systems.