Retrieve and filter LangSmith experiment projects for model evaluation and comparison by specifying a dataset ID or name.
MIT
137,947 tools. Last updated 2026-05-19 15:48
"ChatBot" matching MCP tools:
- Retrieve and filter LangSmith projects with customizable detail levels, enabling efficient project discovery and management.MIT
- 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
- 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
- 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
- Retrieve your organization's product catalog including SKU, price, category, image, and stock status for inventory management or chatbot lookups.Apache 2.0
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
- -license-quality-maintenanceA FastAPI backend service that connects to Azure's Managed Chat Project using GPT-4o to provide medical chatbot functionality through a simple HTML interface.Last updated
Matching MCP Connectors
Integrate Connext AI into agentic workflows, enabling Connext product-aware assistance.
- scraps-kitchen-mcpOAuth
Scraps Kitchen gives any AI agent a persistent, household-aware kitchen memory. Unlike generic chatbot recall, Scraps maintains structured cooking data: what's in your fridge (with freshness tracking), who you cook for (with allergens, dietary restrictions, and preferences), your recipe collection (with cook notes and per-diner ratings), your shopping list, and your kitchen equipment. 27 tools across 6 domains let agents read kitchen context, suggest meals that respect dietary safety, update the pantry after cooking, and build a history of what works for your household. Every interaction makes the data richer. Cooking history, preference signals, kitchen awareness = better suggestions next time. All tools work via oAuth and a free scraps.kitchen account.
- Send messages to specialized chatbots and receive responses. Use list_chatbots to find available bots for different tasks, and optionally continue conversations with a conversation ID.Apache 2.0
- Manage embeddable chatbots backed by FleetQ agents: create, update, delete, toggle status, manage widget tokens, list sessions, view analytics and learning entries.AGPL 3.0
- Integrate a URL-based chatbot model into the Enkrypt AI MCP Server by providing a configuration dictionary with model details, including URL, name, and version, for streamlined AI safety analysis.Apache 2.0
- 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
- Set up a voice-enabled conversational AI agent with custom name, prompts, and voice settings for chatbots or assistants.MIT
- Modify Virtual Agent topic properties like name, description, and active status to update chatbot conversation flows in ServiceNow.MIT
- Deploy serverless AI inference endpoints on Vultr cloud infrastructure for scalable model hosting and API access.MIT
- Remove a Typebot chatbot by specifying its unique bot ID using this tool on the MCP-Typebot server.MIT
- Retrieve a Typebot chatbot by its unique ID using the MCP-Typebot server for efficient bot management and integration.MIT
- Retrieve recent Virtual Agent conversations from ServiceNow with filters for topic, user, and result limits to analyze chatbot interactions.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