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rinadelph/Agent-MCP

v4.20.1 Feature

This release adds 2 notable features for engineering teams evaluating rollout.

Published 9mo MCP Developer Tools
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Affected surfaces

auth

Summary

AI summary

Fixed token resource URIs, added logs://server URI scheme, and resolved database schema and authentication issues in the testing agent system.

Full changelog

Critical Bug Fixes

🔧 URI System Fixes

  • Fixed token resource URIs: Corrected from admin to token://admin format for proper MCP resource access
  • Server logs resource: Added proper logs://server URI scheme for debugging access
  • URI compatibility: All MCP resources now use consistent URI formatting

🧪 Testing Agent System Fixes

  • Database schema errors: Fixed agent_actions table column reference issues preventing testing agent logging
  • Authentication issues: Resolved token authentication problems that prevented testing agents from accessing MCP tools
  • Automatic validation: Testing agents now launch properly on task completion and perform comprehensive validation

✅ Verified Functionality

  • Testing agent system fully operational with automatic launch workflow
  • All URI formats working correctly across token, agent, tmux, and server log resources
  • Authentication system stable with proper token handling
  • Multiple testing agents can run simultaneously for concurrent validation

🚀 System Status

  • Testing Agent Workflow: Task completion → Automatic testing agent launch → Comprehensive validation → Feedback to original agent
  • URI Access: All @ mention resources accessible with proper formatting
  • Database Operations: Stable with proper schema compatibility
  • Multi-Agent Coordination: Enhanced with proper testing validation pipeline

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About rinadelph/Agent-MCP

A framework for creating multi-agent systems using MCP for coordinated AI collaboration, featuring task management, shared context, and RAG capabilities.

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Beta — feedback welcome: [email protected]