AI Task schedule planning with LLamaIndex and Timefold: breaks down a task description and schedules it around an existi
AI Task schedule planning with LLamaIndex and Timefold: breaks down a task description and schedules it around an existing calendar
This is a community Model Context Protocol (MCP) server from wong2/awesome-mcp-servers. MCP servers enable Claude and other AI assistants to securely interact with external data sources and tools.
This server implements the Model Context Protocol (MCP), allowing seamless integration with Claude Code and other MCP-compatible clients.
Community MCP Server: Yuga Planner
Repository: wong2/awesome-mcp-servers
License: Open Source
Integration
Free (Open Source)
MCP server for everything
This MCP server attempts to exercise all the features of the MCP protocol. It is not intended to be a useful server, but rather a test server for builders of MCP clients. It implements prompts, tools, resources, sampling, and more to showcase MCP capabilities.
A basic implementation of persistent memory using a local knowledge graph.
A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.
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