"ollama" matching MCP servers:

A local MCP server that gives Ollama language models sandboxed file management tools—read, write, list, and recoverable delete—within configurable workspace directories, keeping everything local and secure.

Enables local document Q&A by reading .txt or .pdf files and answering questions in Persian using locally running models.

Provides a local MCP server for securely analyzing files, ZIP archives, and directories with Ollama or other providers, and generating correction proposals that are applied only after explicit user confirmation.

Enables any MCP client to delegate a scoped task to a local Ollama model that runs its own tool-calling loop for file operations and web search, with an allow-listed folder security model.

Serves a folder as an MCP knowledge server: it indexes text, code, PDFs, office documents and audio or video, then answers search and ask calls with citations that name the file, the line range, the page or the time range. Runs fully local with Ollama by default; Mistral, OpenAI, Gemini and Anthropic are optional providers.

Local-first macOS Markdown workspace MCP server. Run persona mcp so Claude Code / Cursor can read and write notes and tasks; Ollama auto-detect.

MCP server that gives LLMs the power to convert PDFs to Markdown on the fly using a local Ollama vision model.

A containerized MCP bridge that lets local or cloud LLMs access your filesystem and perform web searches via Ollama and FastMCP.

Experimental MCP server for local LLM orchestration with filesystem tools (read, write, list, delete files) and a CLI agent that communicates via Ollama.

Enables natural language filesystem operations (create, list, delete directories/files) via Ollama local LLM and MCP protocol within allowed directories.

Automates file system operations through natural language commands using a combination of LLM (Ollama), MCP tools, and a Python bridge agent.

Enables building and exploring a knowledge graph from files (PDF, DOCX, code) with AI enrichment via Ollama or Claude. Supports pinning documents, linking entities, and traversing the graph.

MCP server with intelligent memory management and file monitoring that enables context-aware AI assistance across multiple LLM providers (Grok, OpenAI, Claude, Ollama) with persistent memory of interactions and real-time file system changes.

An agentic file-system assistant that lets users read, write, list, and search local files through natural language, using a LangChain agent with an Ollama LLM backed by a FastMCP server.

MCP server that enables AI to read, search, and edit local files securely without external data exposure, using local LLMs via Ollama and integrating with Open WebUI or Claude Desktop.

Enables translation of JSON i18n files to multiple languages using various AI providers (Google Gemini, OpenAI, Ollama/DeepSeek) with intelligent caching and deduplication.

MCP bridge for Distill — let Claude, Cursor, or any MCP client rename files based on AI content analysis. 9 tools for renaming, suggestions (preview), folder watching, history, and rule management. Five AI providers: Claude, OpenAI GPT-4o, Gemini, Ollama (local), Apple Intelligence. Bridge open-source (MIT), Distill app is commercial (pay-per-use, no subscription).

Exposes the agent's sandboxed file tool over stdio so any MCP client can retrieve the contents of a UTF-8 text file inside the working directory, with failures returned as recoverable error strings instead of exceptions. It lets the same ReAct loop swap in-process dispatch for an MCP hop without changing tool signatures.