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Interact with H2OGPTe to ingest documents, manage collections, and chat with models.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "h2ogpte-mcp-server" yet — see the docs or source repo.
Use the H2OGPTe MCP tools to ingest this batch of documents into the specified collection, then return the result.
Returns document ingestion status, related collection details, or an error message.
Please inspect the existing collections in H2OGPTe and create a new business knowledge collection.
Returns the collection list and the creation result.
Start a question-and-answer session over the existing H2OGPTe materials and summarize the key information about a topic.
Returns an answer summary grounded in the document content.
Useful for developers or researchers who want to centralize materials in H2OGPTe for retrieval-style Q&A. You can ingest documents into collections and then chat over them.
Useful for people maintaining multiple topic collections, such as by project, team, or subject. It provides collection management capabilities.
Useful when you want AI to answer questions using internal documents. The REST API and MCP tools connect those materials to the chat flow.
It is an MCP tool for connecting to H2OGPTe’s REST API. It supports document ingestion, collection management, and chatting with AI models.
Based on the description, it supports document ingestion, collection management, and chatting with AI through MCP tools and resources. See the source repository for finer details.
It needs access to H2OGPTe’s REST API. More specific authentication, deployment, or runtime requirements are not stated in the provided information; see the source repository.
Turn unstructured documents into a searchable knowledge base for AI agents.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Ingest documents and query them with natural-language semantic search.
Enable AI assistants to search, summarize, and use RAG knowledge bases via MCP.
Manage technical docs and search them with AI-powered multilingual answers.
Chat with AI to retrieve documents and trigger MCP-powered tools.