rinadelph/Agent-MCP
Overview
A framework for building multi-agent systems using MCP, enabling coordinated AI collaboration with task management, shared context, and RAG capabilities.
Capabilities
- • network transport options
- • resource handlers
- • authentication support
- • database integration
- • github integration
- • mcp client integration
Best For
Framework for multi-agent systems with MCP, supporting coordinated AI collaboration, task management, and RAG.
Decision Snapshot
Install
detected in docs
Usage
detected in docs
Docs
7 links
Config
5 strong hints
Capabilities
7 key capabilities detected
- • GitHub stars: 1220
- • Forks: 157
- • Source provenance count: 1
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 3/17/2026
Features
- • Getting Started Guide - Complete walkthrough with examples
- • MCD Creation Guide - Write effective project blueprints
- • Theoretical Foundation - Understanding AI cognition
- • Architecture Overview - System design and components
- • API Reference - Complete technical documentation
- • network transport options
- • resource handlers
- • authentication support
Use Cases
- • Supports capabilities such as: network transport options; resource handlers; authentication support.
- • Common usage themes: mcp, curated, markdown-list, awesome-mcp-servers-punkpeye.
Supported Clients / Integrations
- • network transport options
- • resource handlers
- • authentication support
- • database integration
- • github integration
- • mcp client integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Notes / Requirements
- • Primary language: Python
- • License: NOASSERTION
- • Documentation coverage: high
- • Parser coverage score: 1.00
- • Source feeds: Awesome MCP Servers (punkpeye)
- • Topic cluster: general
Official Links
Source Information
You can verify all information on this page against the source repository above.
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What To Do Next
Continue from this tool into a workflow and a learn guide to shorten implementation time.