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MCP Server for Gemini CLI Agent Orchestration

MCP Server for Gemini CLI Agent Orchestration

by swahlquist
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

MCP Server for Gemini CLI Agent Orchestration

This repository hosts a minimal Flask server designed for agent orchestration via Gemini CLI and other AI tools. It provides a clean, secure interface for exposing callable tools, validating agent inputs, and enabling reproducible workflows across contributors.

🔧 What It Does

  • Exposes tools via HTTP endpoints for Gemini CLI and Manus AI agents

  • Hosts a tool_registry.json for agent introspection and schema validation

  • Supports modular, agent-free testing via main.py

  • Deploys seamlessly to Render for public access

Related MCP server: Multi-Capability Proxy Server

🧠 Why It Exists

This MCP (Modular Command Processor) server is part of a broader effort to make AI agent workflows:

  • Contributor-friendly: Easy to onboard, test, and extend

  • Modular: Tools are isolated, auditable, and reusable

  • Secure: No secrets in Git history; .env is excluded and managed locally

  • Agent-ready: Compatible with Gemini CLI, Claude, Manus, and other orchestration platforms

🚀 How to Use It

For Contributors:

  • Clone the repo and run main.py locally to simulate agent calls

  • Add new tools to tool_registry.json and expose them via Flask routes

  • Use requirements.txt to manage dependencies

For Agents:

  • Gemini CLI can call tools via HTTP once deployed to Render

  • Agents can introspect available tools via tool_registry.json

  • Supports prompt chaining, validation, and debug workflows

🌐 Deployment

This server is ready for deployment to Render. Once live, agents can access it via a public URL and begin orchestrating workflows.

📁 Key Files

  • main.py: Flask server with exposed tools

  • tool_registry.json: Tool definitions and schemas

  • requirements.txt: Python dependencies

  • render.yaml: Render deployment config

  • .gitignore: Ensures .env and other sensitive files are excluded

This is the foundation for scalable, agent-driven automation. Whether you're testing locally or deploying to production, this repo gives you the tools to build, validate, and orchestrate AI workflows with confidence.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

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    ResponsivenessNo recent community issues

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