Retrieve and filter LangSmith projects with customizable detail levels, enabling efficient project discovery and management.
MIT
268,826 tools. Last updated 2026-07-07 10:42
"ChatBot" matching MCP tools:
- Retrieve and filter LangSmith experiment projects for model evaluation and comparison by specifying a dataset ID or name.MIT
- Retrieve all pre-defined lead sources from Pipedrive. Use to identify where leads originated for reporting and analysis.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
- Query multiple AI chatbots (ChatGPT, Gemini, Perplexity, Copilot) and receive structured answers with sources. Supports caching, geo-targeting, and localization for contextual responses.MIT
Matching MCP Servers
- Flicense-qualityDmaintenanceA serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.Last updated
- Flicense-qualityDmaintenanceA production-grade AI chatbot that enables real-time information retrieval and retrieval-augmented generation for website content. It integrates MCP tools to fetch live data while providing a responsive chat interface with strict guardrails against misinformation.Last updated
Matching MCP Connectors
Integrate Connext AI into agentic workflows, enabling Connext product-aware assistance.
AI-powered WhatsApp chatbot platform with 196 tools for bots, campaigns, and contacts.
- List all WhatsApp business bots in the system with their configurations and status to monitor and manage chatbot deployments.MIT
- Generate a new Typebot chatbot by specifying a name and optional description. Ideal for quickly setting up chatbot workflows using the MCP-Typebot server’s JSON interface.MIT
- Retrieve a Typebot chatbot by its unique ID using the MCP-Typebot server for efficient bot management and integration.MIT
- Remove a Typebot chatbot by specifying its unique bot ID using this tool on the MCP-Typebot server.MIT
- Deploy a Typebot chatbot to production using its unique bot ID via the MCP-Typebot server. Simplify publishing with a streamlined JSON interface for efficient bot management.MIT
- Retrieve a list of all Typebots in a specific workspace using the workspace ID. Manage and organize your chatbot projects effectively with this streamlined JSON-based tool.MIT
- Remove a published Typebot chatbot from availability using a JSON-based interface. Specify the bot ID to unpublish, ensuring control over active chatbot deployments.MIT
- Retrieve and manage chatbot interaction results from MCP-Typebot by specifying bot ID, time filters, and result limits to organize and analyze user engagement data effectively.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
- Search a directory of 15,000 AI tools to find one for your task. Use filters like category, pricing, or free-text query.MIT
- Generate EU AI Act Article 50 transparency notices for AI systems. Produces user-facing disclosure copy with placement suggestions, caveats, and human-review recommendations.Apache 2.0
- Enable or disable the chatbot for a contact, with options for temporary or permanent deactivation.ISC
- Retrieve all active chatbots on YaparAI, including their slug, name, description, and configuration. Use the slug to initiate a chat with a specific bot.Apache 2.0