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    Search and discover AI agents, skills, prompts, bundles and MCP connectors from a curated catalog of 4500+ assets. Provides tools for searching, browsing categories, and accessing detailed information about each asset.
    5
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    MIT
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    Provides AI assistants with real-time access to the AGNO framework documentation by enabling them to browse, search, and fetch documentation pages. This server allows users to query information about AGNO's Agents, Teams, and Workflows directly through MCP-compatible clients.
    16
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    The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
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    MIT
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    A comparative lab demonstrating MCP protocol evolution from stateful (2025-11-25) to stateless (2026-07-28) using a procure-to-pay agent, highlighting the implications for load balancing and session management.
    1
    MIT
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    Enables Cursor agents to communicate via a shared chat room, allowing them to ask questions, share status, and warn about conflicts while collaborating on the same repo.
    133
    MIT
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    Provides a shared memory bridge for AI agents (QClaw, Claude Code, Codex) allowing them to store, search, and retrieve notes, decisions, and conclusions via MCP tools, using local SQLite with optional TencentDB integration.
    MIT
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    A Server-Sent Events implementation using FastAPI framework that integrates Model Context Protocol (MCP), allowing AI models to access external tools and data sources like weather information.
    51
    MIT
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    An interface enabling high-frequency communication between AI tools (like Cursor and Windsurf) and users, allowing for option selection and information gathering through CLI, Web, or PyQt interfaces.
    28
    MIT
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    An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.
    4
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    A server that allows AI agents to consult multiple large language models (like Grok, Gemini, Claude, GPT-4o) through Model Context Protocol for assistance and information.
    4
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    Enables controlled AI-agent access to enterprise-shaped tools with a deny-by-default gated write path, human approval, dry-run execution, and append-only audit logging.
    1
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    An MCP (Multi-Agent Conversation Protocol) Server that provides an interface to access Pokémon data through the PokéAPI, enabling agents to retrieve information about Pokémon species, abilities, moves, and more via natural language.