A system for task management and integration with AI editors using multiple LLMs MCP servers

"A system for task management and integration with AI editors using multiple LLMs" matching MCP servers:

• Agentic AI System with MCP

  pratyush-usc-mba

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  security

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  Enables integration with financial transaction data through REST APIs, PostgreSQL databases, and document storage systems. Demonstrates agentic AI capabilities by connecting to Alpha Vantage API and managing financial data through natural language interactions.

  Last updated 5 months ago

• Todo for AI MCP Server

  todo-for-ai

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  Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

  Last updated 3 months ago

  10

  Apache 2.0

• AI Agent with MCP

  moises-paschoalick

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  security

  F

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  Enables AI agents to access user and message data through MCP resources, providing REST API integration for user management with paginated lists and thread tracking.

  Last updated 8 months ago

  12

  2

• maximo-mcp-ai-integration

  markusvankempen

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  he Maximo MCP Server bridges AI agents (Claude, Cursor, Antigravity) with your IBM Maximo environment. It empowers your AI to autonomously discover Object Structures (APIs), inspect schemas, and query live data via OSLC. Instead of hallucinating field names, the AI validates queries instantly and ca

  Last updated 14 days ago

  117

  1

  Apache 2.0

• A-MEM: Agentic Memory System

  tobs-code

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  security

  F

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  Provides an intelligent, graph-based memory system for LLM agents using the Zettelkasten principle, enabling automatic note construction, semantic linking, memory evolution, and autonomous graph maintenance with background optimization processes.

  Last updated 19 days ago

  3

• llms-mcp

  druellan

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  security

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  An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.

  Last updated 8 months ago

  1

  MIT