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525,674 tools. Updated 2026-09-06 22:29

"ChatBot" matching MCP tools:

  • Generate compliance-ready Article 50 transparency disclosures for chatbots, AI-generated content, deepfakes, or emotion recognition, in English or German, offline.
    MIT
  • Detect harmful, offensive, or inappropriate content in LLM outputs. Returns a toxicity score between 0 and 1 based on four quality checks.
    Apache 2.0
  • Manage automated chatbot prompts that run at scheduled intervals: create, update, delete, list, inspect, and page through stored responses. Control response visibility and verify job scheduling.
    MIT

Matching MCP Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables querying internal documents indexed in Glean through a natural-language chat interface, returning answers with cited sources.
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    A serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.
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Matching MCP Connectors

  • Manage and optimize SiteSpeakAI chatbots from an AI agent in plain English: read analytics, tune prompts and model, manage knowledge sources and suggested messages, enable lead capture and human handoff, and triage the inbox.

  • AMZScout Skill + MCP gives AI agents live access to real Amazon marketplace data across 14 Amazon marketplaces. Analyze any ASIN, validate product ideas, research niches, compare competitors, discover profitable keywords, and build data-driven PPC strategies using trusted Amazon insights instead of AI assumptions. Works with Claude, ChatGPT, Cursor, and any other MCP-compatible AI client. To connect, you'll need an AMZScout API plan and authorize your account. Get access and view pricing here: https://learn.amzscout.net/amazon-product-api-for-ai-agents

  • Retrieve existing compliance evidence from the governance ledger, filtered by system or time, to prevent duplicate attestations and identify gaps before adding new records.
    MIT
  • Retrieve a summary of states, counts, and studio settings, or fetch full lists of commands, alerts, lights, or voices. Use this to understand the user's configuration before triggering actions.
    MIT
  • Create, update, or delete chatbot commands. Use variables in messages, add aliases, set cooldowns, and control visibility on your commands page.
    MIT
    Destructive
  • Scan non-fiction for AI-writing tells (banned words, chatbot patterns, structural issues) and get a tiered score with findings and strengths to guide targeted fixes.
    MIT
  • Verify factual claims with verdict and confidence score. Returns true, false, or uncertain with reasoning for content moderation and misinformation screening.
    MIT
  • Query multiple AI chatbots (ChatGPT, Gemini, Perplexity, Copilot) and receive structured answers with sources. Supports caching, geo-targeting, and localization for contextual responses.
    MIT
  • Generate a new PFTL wallet locally. Returns the wallet address and seed; the wallet activates on-chain once a deposit of at least 10 PFT is received.
    MIT
  • Submit quality feedback after tool invocation, reporting accuracy, usefulness, and completion to improve scores and help agents choose better tools.
    MIT
  • Verify that an LLM response engaged with the provided source document using the Semantic Grounding Index score. Ideal for auditing RAG pipeline provenance.
    Apache 2.0
  • Trigger a configured command by name, selecting from chat, chatbot, Twitch points, or extension commands. Optionally hold as persistent default and pass extra settings.
    MIT
  • Classify any AI feature's EU AI Act risk category by specifying feature details. Receive a risk tier, confidence, rationale, and obligations.
    Apache 2.0
  • Assess your AI system's compliance with ISO/IEC 42001:2023. Provide a brief description to receive a quick gap analysis against all clauses.
    MIT