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SPL-BGU/PlanningCopilot

by Various

A modular chatbot that runs planning tools via natural language using MCP.

S

MCP

SPL-BGU/PlanningCopilot

Added 1 June 2026

#agent #ai #llm #mcp #planning

Overview

PlanningCopilot is an open-source modular chatbot that executes planning tools through natural language commands. It uses the Model Context Protocol (MCP) to integrate with compatible planning modules.

Best for

Best for
Developers exploring MCP-based natural language planning assistants in small-scale or experimental projects

Use cases

  • Translate natural language requests into structured planning tasks
  • Chain planning operations via MCP-compatible tool modules
  • Prototype conversational interfaces for planning workflows

How to use

Install

python -m pip install -r requirements.txt

Example client config

paths and settings in the config.py file

Notes

PlanningCopilot is an open-source modular chatbot that executes planning tools through natural language commands. It uses the Model Context Protocol (MCP) to integrate with compatible planning modules.

3 stars on GitHub. Last updated 2026-03-08. Licensed MIT.

Use cases

  • Translate natural language requests into structured planning tasks
  • Chain planning operations via MCP-compatible tool modules
  • Prototype conversational interfaces for planning workflows

Pros

  • Modular design allows easy extension with MCP tools
  • Natural language interface reduces manual planning overhead
  • Open-source Python codebase for customization

Cons

  • Low community adoption (3 GitHub stars) limits support and contributions
  • Relies on the MCP ecosystem, which may have few ready-built planning modules
  • Minimal documentation or examples beyond the repository

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Modular design allows easy extension with MCP tools
  • Natural language interface reduces manual planning overhead
  • Open-source Python codebase for customization

Cons

  • Low community adoption (3 GitHub stars) limits support and contributions
  • Relies on the MCP ecosystem, which may have few ready-built planning modules
  • Minimal documentation or examples beyond the repository

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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