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"How to allow an LLM to ask questions to a user" matching MCP servers:

  • F
    license
    A
    quality
    A
    maintenance
    An MCP server that sends plain-text Gmail messages only to a predefined allowlist, using generated recipient IDs instead of email addresses to enforce security.
    2
    1
  • F
    license
    A
    quality
    C
    maintenance
    Exposes user, membership, and role administration tools via MCP, acting as a thin passthrough to a coordinator API with RBAC enforced by the coordinator using caller bearer tokens.
    8
  • F
    license
    -
    quality
    B
    maintenance
    MCP server demonstrating Streamable HTTP with Tools, Resources, and Prompts for user registration, login, and profile management via a REST API.
  • F
    license
    B
    quality
    A
    maintenance
    MCP server toolkit with payload library, WAF bypass generator, rate limiter, plugin system, and inter-MCP bridge for security testing.
    16
  • A
    license
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    quality
    A
    maintenance
    Enables LLMs to propose UPDATE/DELETE SQL that is run in a transaction, measured, and rolled back, requiring human approval before applying to prevent unauthorized changes.
    962
    MIT
  • A
    license
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    quality
    B
    maintenance
    Provides a governance gateway for LLM and agent traffic via MCP, blocking prompt injection, redacting PII, enforcing per-tenant token budgets, and caching repeat questions semantically. Enables AI agents to route model calls through the same guardrails instead of calling providers directly.
    MIT
  • F
    license
    -
    quality
    B
    maintenance
    This MCP server provides secure access to databases for AI agents, enforcing authentication, authorization, human approval, logging, and notifications to prevent dangerous actions.
  • A
    license
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    quality
    B
    maintenance
    Exposes an OpenAI- and Anthropic-compatible HTTP, SSE, and stdio gateway that wraps multiple subscription CLIs, adding prompt-injection defense, PII redaction, cost-aware routing, and reasoning-trace capture for MCP-compatible clients like Claude Desktop and Cursor.
    2
    10
    Apache 2.0
  • A
    license
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    quality
    B
    maintenance
    Tells you how you and your Claude agent actually work together. Reads CLAUDE.md, hooks, skills, memory + scheduled tasks and writes you a letter. Local-only, no API keys, no data leaves your machine.
    MIT
  • F
    license
    -
    quality
    D
    maintenance
    OpenAI-compatible proxy with PII scrubbing, audit logging, and model routing. Drop-in replacement — set OPENAI_BASE_URL to point to this server. Supports GPT-4o, Claude, Gemini, and Llama via single endpoint.
  • A
    license
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    quality
    B
    maintenance
    Authenticates users via Google OAuth and returns the authenticated user's display name through the get_current_user tool. Supports deployment on Node.js and Cloudflare Workers.
    MIT
  • F
    license
    -
    quality
    F
    maintenance
    A scheduled MCP server that monitors Auth0 users by periodically collecting summaries, detecting suspicious admins, and auto-blocking them; it provides instant reports via SQLite and exposes tools for on-demand collection and configuration.
  • F
    license
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    quality
    F
    maintenance
    Enables monitoring Auth0 users by collecting summaries, storing reports in SQLite, and auto-blocking suspicious admins, all through MCP tools without an LLM.
  • A
    license
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    quality
    D
    maintenance
    Provides agent certification and trust verification tools for AI agents, enabling certification checks, trust score calculations, audit ticket issuance, and emergency kill switch activation through the A-SOC trust network.
    1
    1
  • F
    license
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    quality
    C
    maintenance
    An MCP server that provides authorization middleware for AI agents using private data, enabling consent management on Aleo and local private inference with persistent policy storage.
  • F
    license
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    quality
    D
    maintenance
    Enables querying the MITRE ATT\&CK framework for adversarial tactics, techniques, mitigations, and detection methods through natural language, supporting both ID-based and fuzzy name-based searches.
    3