"ChatBot" matching MCP servers:

An MCP chatbot server that answers questions about a Reinforcement Learning graduate project by dynamically selecting and calling structured tool functions to retrieve precise project data, including training rounds, hyperparameters, and infrastructure details.

Supercharges any Notion workspace with an AI chatbot and MCP server, enabling natural language interaction, search, summarization, and content generation.

Enables dynamic UI template generation through natural language using Model Context Protocol, supporting multiple AI model providers like Bedrock, OpenAI, and Google.

Provides access to an AI medical chatbot API for healthcare assistance, enabling natural language interactions such as neurosurgery queries.

Provides a Model Context Protocol interface to interact with the classic ELIZA chatbot, enabling stateful conversations with tools for chatting, resetting, and retrieving greetings/farewells.

Enables interactive AI chat through the Anthropic API, with document retrieval, slash commands, and extensible MCP tool integrations.

Connects Moodle LMS with AI assistants through the Model Context Protocol, enabling users to interact with Moodle data via a conversational chatbot interface.

Exposes a blog CRUD API (posts and comments) as MCP tools, with an integrated AI chatbot agent powered by Ollama Gemma2 for natural language interaction.

Lets any MCP client, such as Claude, browse attack suites and probes, run a full assurance assessment with all reports written out, send custom prompts or multi-turn histories and get leak, PII and refusal checks back for adaptive attacks, and read findings from an earlier assessment. This enables agent-driven red-teaming of a chatbot, RAG app or AI agent without leaving the chat client.

Enables an OpenRouter-powered chatbot to query MongoDB collections through MCP tools such as get_collections and query_collection.

Laya-MLX as an MCP server (and plain-HTTP API). It answers typed decisions — choose an option / score a rubric / is this true? — on your own machine (Apple Silicon / MLX), with no cloud and ~10ms after warm-up. Not a chatbot. No token-by-token text, no JSON that can break. One forward pass returns a structured answer you can branch on. Ideal for routing, triage, classification, lead scoring, and g

Enables natural language management of blog posts and comments through a decoupled architecture using Ollama and JSON-RPC. Supports creating, updating, deleting posts and comments via AI chatbot or MCP clients.