"ollama" matching MCP servers:

Exposes WAI-ARIA Authoring Practices Guide (APG) patterns, providing narratives, keyboard guidance, and official source code examples for accessible widgets. It includes tools for listing patterns, retrieving specific specs, and performing semantic searches via Ollama.

Enables local-first natural language querying of JMP 19.1 documentation, returning menu paths, step-by-step instructions, citations, and relevant figures. Runs fully offline via Ollama and exposes tools for searching, browsing, fetching pages, and locating examples.

Turns a user's own Markdown wiki into a locally indexed knowledge base, enabling semantic search, per-page retrieval, source listing, and citation-backed RAG question answering. All embedding and generation run through a local Ollama instance, so queries and documents never leave the machine.

Enables MCP clients to locally search, retrieve, and summarize project documentation using Ollama models, without cloud usage, while managing requests through a queue and optional model prewarming.

Enables MCP clients to semantically search a local folder of markdown documents via a single search_notes tool, with embeddings generated locally by Ollama and support for excluding superseded or archived material.

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context. Uses Ollama or OpenAI to generate embeddings. Docker files included

Enables extraction of structured data from documents like invoices, receipts, and bank statements using local Vision AI (Ollama) or cloud providers (Gemini), with data stored in a local SQLite database.

MCP server for searching web documentation via sitemap.xml, enabling semantic search across multiple documentation sites using Ollama embeddings.

Enables LLM clients to query local markdown engineering documentation by indexing files into ChromaDB with Ollama embeddings and exposing a search_internal_docs tool over stdio, all offline and privacy-first.

Enables hybrid search (BM25 + semantic with RRF) over documentation, with Thai language support. It exposes MCP tools for adding documents and searching via Qdrant and Ollama/OpenAI, using a stateless Streamable HTTP transport.

Enables semantic search and retrieval of information from technical documentation PDFs using RAG-powered natural language queries with Ollama embeddings and LLMs.

Retrieval augmented generation server for policy documents, exposing search, grounded Q&A with verified citations, and source management as MCP tools. Runs with local Ollama models for free or managed AWS backends, with an evaluation harness for retrieval and grounding metrics.