"ChatBot" matching MCP servers:

Enables querying internal documents indexed in Glean through a natural-language chat interface, returning answers with cited sources.

A serverless backend that enables natural language querying of a Postgres database, converting user questions into SQL and returning structured, UI-friendly responses.

A 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.

Enables AI chatbots to securely answer natural-language questions against Oracle databases by discovering metadata, generating and validating read-only SQL, executing with limits, masking sensitive data, and logging all activity.

Exposes a local RAG document index as MCP tools (ask, search, rebuild_index, status) for MCP clients like Claude Desktop and Claude Code to query your documents over stdio.

An MCP server that integrates the Glean API to provide search results and chatbot interaction.

A multi-functional AI agent with an Arabic legal chatbot, Google search capability, and a VAE model that generates handwritten digit images.

MCP server + RAG chatbot that makes your MDX documentation searchable by AI assistants. Built on BM25 + metadata filtering.

MCP server that exposes an Italian textbook's OCR content, structured exercises, and progress tracking, enabling chatbot agents to interact with the book for language learning.

Enables read-only interaction with NetBox network documentation and infrastructure data through LLMs. Allows querying devices, sites, IP addresses, and viewing change history via natural language.

Provides a curated technical glossary with search, lookup, and category listing tools, enabling AI assistants to answer tech concept questions via MCP.