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    Enables LLMs to read and write local user data, generate fake users via sampling, and interact with structured prompts and resources.
    2
  • A
    license
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    quality
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    A read-only MCP server for Anaplan that exposes 5 tools for business users to explore data through an AI assistant, with session caching and metadata gating.
    5
    MIT
  • A
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    Enables AI-assisted user feedback collection and management via a web interface, with MCP integration for automated replies and tool execution.
    1
    47
    MIT
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    MCP server for token-user-system wallet operations, supporting balance, trend, transactions, coupons, and corporate transfer info.
    5
    51
    MIT
  • A
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    A Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.
    2
    132
    ISC
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    Enables interaction with Discord using personal user tokens instead of bot applications, allowing for seamless message management and server exploration. It provides tools for reading history, sending messages, and searching across channels and DMs directly through MCP-compatible clients.
    6
    MIT
  • A
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    Provides an enterprise-grade Model Context Protocol implementation with advanced security features including multi-factor authentication, encryption, and RBAC. Enables secure tool management and context handling for production deployments with comprehensive monitoring and high availability.
    8
    2
    Apache 2.0
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    An MCP App that enables AI agents to ask users multiple questions with tab-based navigation, multiple-choice options, multi-select support, and custom text input, all rendered inline in the conversation.
    1
    MIT
  • A
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    quality
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    A reference MCP server demonstrating authentication, authorization, approval workflows, and audit logging for a notes domain with secure defaults.
    MIT
  • A
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    quality
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    Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.
    11
    34
    MIT
  • F
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    Enables Codex to clarify requirements via native MCP elicitation controls, supporting single/multiple-choice and free-text questions with recommended answers and a discuss-first option.
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    Provides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.
    1