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    An MCP server that gives Claude Code full programmatic control over Manus.im through the official Manus API v2, implementing all documented endpoints and composite tools for common workflows.
    36
    5
    MIT
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    Enables integration with Manus AI to create AI tasks with custom prompts, manage webhooks for real-time notifications, and leverage attachments and connectors within MCP-compatible clients.
    3
    49 npm
    4
    MIT
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    An MCP server that reduces Manus AI credit usage by up to 75% through intelligent prompt compression, smart model routing, and intent classification. It provides tools to analyze and optimize prompts for maximum efficiency without sacrificing quality.
    1
    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    28
    Apache 2.0
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    Enables MCP clients to interact with A2A agents through four ordinary tools, translating agent discovery, messaging, task reading, and cancellation between the A2A and MCP protocols, with support for the tasks extension.
    36 npm
    1
    Apache 2.0
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    One-pass agentic inbox triage as an MCP server: fetch unread Gmail → classify (action_needed/fyi/newsletter/noise) → summarize → extract tasks → draft replies as Gmail DRAFTS (never sends) → flag calendar → write a triage report. Four stdio tools (fetch_emails, save_gmail_draft, append_tasks, write_report); the host is the LLM, so it runs keyless in Claude Code. Gmail scopes: readonly + compose
    4
    2
    MIT
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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
    19
    814 npm
    7,031
    MIT
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    Enables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.
    1
    Apache 2.0
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    Enables two-model orchestration where Gemini in Google Antigravity delegates coding tasks to Qwen 3.8 Max in Qwen Studio Desktop via CDP, managing prompt delivery, file generation, continuation, and verification.
    8
    MIT