Local MCP runtime with multi-agent orchestration, distributed tool servers, ML-powered media recommendations, persistent cross-session memory, and a proactive agent scheduler.
mcp-platform is an MCP project maintained in the michaelyagi/mcp-platform repository. The maintainer describes its purpose as “Local MCP runtime with multi-agent orchestration, distributed tool servers, ML-powered media recommendations, persistent cross-session memory, and a proactive agent scheduler”. Read the project documentation for the complete scope.
The project provides a local client configuration using /path/to/mcp-platform/.venv/bin/python. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
{
"mcpServers": {
"code_assistant": {
"command": "/path/to/mcp-platform/.venv/bin/python",
"args": [
"/path/to/mcp-platform/servers/code_assistant/server.py"
]
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
Deploys and monitors the status of CrewAI workflows.
Manages AI agents and tasks using the CrewAI framework.
MCP server exposing 8004Swap (no-KYC agent-to-agent RFQ swap) as tools any MCP agent can call.
A2A TrustGate: 4-gate firewall that screens every AI-agent action before it runs. 49 tools.
Agent-to-agent communication bridge for multi-agent systems
Finds corresponding service offerings in Microsoft Azure and Amazon AWS .