# rinadelph/Agent-MCP

Agent-MCP is a framework for creating multi-agent systems that enables coordinated, efficient AI collaboration through the Model Context Protocol (MCP). The system is designed for developers building AI applications that benefit from multiple specialized agents working in parallel on different aspects of a project.

Repository: https://github.com/rinadelph/Agent-MCP
Canonical: https://ross.abutalabs.com/products/agent-mcp
Language: TypeScript
License: NOASSERTION
License Family: other
Last push: 2026-03-28T13:25:52+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 74, release rhythm 45, longevity 34
- inputs: {"age_days": 477, "days_push": 158, "days_rel": 366, "gap_med": 0, "n_releases_24m": 2}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1276, forks 170 (observed 2026-08-28T04:04:13.119622+00:00)

## What it is
Agent-MCP is a TypeScript framework for building coordinated multi-agent AI systems over the Model Context Protocol (MCP). It provides a persistent shared knowledge graph, intelligent task management, and real-time visualization so specialized agents can work in parallel without losing context.

## Use cases
- orchestrate multiple AI coding agents on one codebase
- give AI agents a persistent shared memory across sessions
- run backend and frontend agents in parallel on a project
- visualize and monitor a fleet of AI agents
- manage task assignment and coordination between specialized agents
- prevent context loss and rework in AI-assisted development

## When to choose
- you need several specialized AI agents collaborating on a large codebase
- you want persistent shared context and task coordination via MCP
- you're an experienced developer building advanced multi-agent workflows

## When to avoid
- you're new to AI-assisted development and want a simple single-assistant tool
- you need a turnkey product rather than a developer framework
- your project doesn't benefit from parallel specialized agents

## Facets
- artifact type: framework
- maturity: active
- function: agent-framework, mcp, llm-inference, developer-tools, workflow-automation
- domain: large-language-models, developer-tools
- platform: cross-platform, cli
- tags: multi-agent, model-context-protocol, ai-coding, knowledge-graph, task-orchestration, parallel-agents, shared-context, ai-agents, automation, nodejs, typescript

## Member repositories
- rinadelph/Agent-MCP (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:13.119622+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T05:02:58.672151+00:00, confidence not recorded.
  - readme: https://github.com/rinadelph/Agent-MCP (fetched 2026-08-28T04:04:13.119622+00:00, sha 33c960de20e8)
- Data as of 2026-08-30T08:39:29.467469+00:00.