Yuga Planner MCP Server

Yuga Planner is a neuro-symbolic system prototype: it provides an agent-powered team scheduling and task allocation platform built on

Local serverstdioPython

What is the Yuga Planner MCP Server?

Yuga planner mcp server connects Yuga Planner to AI assistants that speak the Model Context Protocol. Yuga Planner is a neuro-symbolic system prototype: it provides an agent-powered team scheduling and task allocation platform built on Gradio.

What Yuga Planner does

Yuga Planner is a neuro-symbolic system prototype: it provides an agent-powered team scheduling and task allocation platform built on Gradio.

Requirements

  • Python 3.10 - Java 17+ - Docker (optional, for containerized deployment) - Nebius API credentials (for LLM-powered features)

Practical notes

  • Maintained by blackopsrepl, written in Python.

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

  • Python 3.10 - Java 17+ - Docker (optional, for containerized deployment) - Nebius API credentials (for LLM-powered features)

Example prompts to try

  • “Use Yuga Planner to Installation.”

Frequently asked questions

Yuga Planner is a neuro-symbolic system prototype: it provides an agent-powered team scheduling and task allocation platform built on [Gradio](https://gradio.app/). Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.