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mmcp
Multi-Model Collaboration Pipeline — orchestrate AI models as a DAG. RL routing, multi-verifier voting, agent mesh, self-improving. Works with OpenAI, Anthropic, Gemini, DeepSeek. npm install mmcp-core | pip install mmcp-core
32stars
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TypeScript
agent-coordinationaiai-agentsanthropicclicontext-protocoldagdeepseekgeminillmmcpmodel-routing
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via npx (Node)
Universal installANY TOOL
$ npx skillcity@latest RagavRida/mmcpAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
npx -y mmcp
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mmcp": {
"command": "npx",
"args": [
"-y",
"mmcp"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
mmcp — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt