rinadelph/Agent-MCP

mcp-serverNo score yet

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.

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Forks

166

Contributors

7

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Language

TypeScript

Last push

2026-03-28

About rinadelph/Agent-MCP

Beyond the philosophical issues, traditional AI coding assistants hit practical limitations: - **Context windows overflow** on large codebases - **Knowledge gets lost** between conversations - **Single-threaded execution** creates bottlenecks - **No specialization** - one agent tries to do everything - **Constant rework** from lost context and confusion Agent-MCP transforms AI development from a single assistant to a coordinated team: **Real-time visualization** shows your AI team at work - purple nodes represent context…

Read the full README on GitHub →

Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

rinadelph/Agent-MCP alternatives

Projects in the same category, closest in size — picked by data, not opinion.

operative_sh/web-eval-agentNo score yet1,240 ★
io.github.SceneView/mcpNo score yet1,223 ★
io.github.robotmcp/ros-mcp-serverNo score yet1,272 ★
samuelgursky/davinci-resolve-mcpNo score yet1,207 ★

See all mcp-server projects ranked by growth →

Frequently asked questions

Is rinadelph/Agent-MCP still maintained?
Activity is low: the last push was on 2026-03-28 (74 days before our latest snapshot).
What are the best rinadelph/Agent-MCP alternatives?
Closest by category and size in our data: operative_sh/web-eval-agent, io.github.SceneView/mcp, io.github.robotmcp/ros-mcp-server — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 24 open issues · 2 releases