"Chat with RocketChat" matching MCP servers:

An MCP server that turns the Hugging Face Hub into a conversational model picker with a tool-use eval harness to prove the agent actually uses it correctly.

Integrates Perplexity AI's chat capabilities with real-time web search, enabling users to ask questions and receive AI-powered answers with up-to-date information and citations from verified web sources.

Enables AI agents to upload, verify, and chat about documents for compliance (e.g., SOC2, GDPR) with PII redacted server-side.

An AI conversation management layer that enables creating chat sessions, persisting message history to GitHub, and performing semantic searches over past interactions. It supports multi-turn threading and context injection to integrate external memory sources into Claude conversations.

An MCP server that enables RAG-powered AI chat integration for websites by crawling content, building local vector stores, and generating embeddable chat widgets. It simplifies the setup of local chat servers with support for various LLM and embedding providers.

Enables persistent local memory in VS Code Copilot Chat via MemPalace, using a ChromaDB 0.6.x backend with automatic setup and verification.

MCP server that enables Claude to request chat completions with citations from the Perplexity API.

Enables interactive chat with AI models via the Anthropic API, supporting document retrieval, command-based prompts, and extensible MCP tool integrations.

An MCP server that enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to index repositories and ask questions about their code, architecture and tech stack.

Enables interaction with the Grok AI through an MCP server, supporting chat completions, text completions, embeddings, and model operations with streaming capabilities.

Enables interactive AI chat with document retrieval and command-based tool integrations via the Model Control Protocol.

Enables interactive chat with AI models via Anthropic API, supporting document retrieval and extensible command-based tool integrations.

Enables integration of Perplexity's AI API with LLMs, delivering advanced chat completion by utilizing specialized prompt templates for tasks like technical documentation, code review, and API documentation.

Enables interaction with the RAGFlow API to manage knowledge base datasets and conduct AI-driven chat sessions. Users can list datasets, create chat assistants, and retrieve or query information from specialized knowledge bases.

A fixed MCP server that interacts with RAGFlow for dataset management and chat operations, handling legacy endpoint errors and providing a fallback to OpenAI-compatible endpoints.

Production-ready MCP server that integrates OpenAI API with extensible tool support, enabling dynamic plugin loading and knowledge search capabilities through multiple interfaces including CLI and browser UI.

MCP server for AnythingLLM that enables AI document chat platform interaction with tools for workspaces, chat, documents, threads, and system operations.

Enables interaction with OpenAI-compatible APIs (like Ollama) through MCP tools. Provides access to chat completions, model listings, and embeddings generation from local or remote OpenAI-style endpoints.

Enables MCP clients to interact with local LLMs via LM Studio, supporting dynamic chat, vision, RAG, file interaction, and model orchestration.

A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.