Manage Ollama operations: check server status, list and pull models, generate text, get hardware info, document code, analyze quality, and summarize context.
MIT
649,985 tools. Updated 2026-10-08 18:23
"ollama" matching MCP tools:
- List, pull, or delete models on an existing Ollama server by specifying the VM IP address and action.MIT
- Check if the Ollama daemon is reachable and view currently running models. Use this as the first step to confirm service health before using other tools.MIT
- Check if the Ollama server is reachable and retrieve its version. Use this health check as a precondition before other tools.MIT
- Check if a local Ollama daemon is running and list its available model tags by probing a loopback endpoint. Confirms service availability without installing Ollama.MIT
- Retrieve all downloaded Ollama models available for use through the MCP Ollama Server integration.MIT
Matching MCP Servers
- AlicenseAqualityCmaintenanceHardened MCP bridge to the full Ollama ecosystem — local and cloud models. 6 tools covering health, model management, chat, and generation with SSRF mitigation, singleton HTTP client, and structured error handling. Two deps, one file.63MIT
- AlicenseAqualityBmaintenanceEnables Claude Code to leverage local Ollama models for tasks like summarizing large files, reviewing diffs, semantic code search, and generating boilerplate or tests, while also supporting a fully offline mode.6MIT
Matching MCP Connectors
Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs.
**Swiss B2B sales and everyday-AI know-how — inside your AI assistant.** 113 free 5-minute learning modules from [latzerus.ch](https://www.latzerus.ch). No account, no API key, no cookies. `https://mcp.latzerus.ch/mcp` --- **`lernmodule_suchen`** — search all modules. Understands paraphrases, synonyms, plural forms and typos. **`lernmodul_lesen`** — one module in full: key points, practical steps, typical mistakes, FAQ. **`lernmodule_uebersicht`** — everything grouped by theme, or just one theme. **`ueber_latzerus`** — what the project is and who is behind it. --- **Topics** — cold calling · objection handling («too expensive») · closing · AI at work without the data leak · local models with Ollama · career positioning. **The modules are written in German.** So are the tool names — your assistant handles that. --- **Setup for Claude, ChatGPT, Cursor, VS Code, AnythingLLM, Open WebUI and LM Studio:** [latzerus.ch/mcp](https://www.latzerus.ch/mcp/) **Source, MIT:** [github.com/kriswindu/latzerus-mcp](https://github.com/kriswindu/latzerus-mcp) Knowledge project of Christoph Latzer, St. Gallen / Zurich. Quoting welcome — please name the source.
- List all locally installed Ollama models with names, sizes, and modification dates.AGPL 3.0
- Monitor Ollama server status and diagnose issues to ensure reliable local LLM operations.MIT
- Downloads a model from the Ollama registry, making it available for local execution.AGPL 3.0
- Start the Ollama server to enable local AI model management and integration with MCP applications.AGPL 3.0
- List all AI models available across configured providers (Ollama, OpenAI, Anthropic, X.AI, vLLM, TRT-LLM, SGLang, CLI) to get model IDs for council configuration.Apache 2.0
- List free-seat status and requestable local runtimes such as Ollama, llama.cpp, LM Studio, OpenAI-compatible servers, and vLLM.MIT
- Set subscription tiers for ChatGPT, Claude, Grok, and Ollama to control cloud availability and per-provider concurrency, then auto-populate the council with usable models.Apache 2.0
- List local Ollama models and retrieve queryable paid route labels for accessing AI models with payment options.MIT
- Check local GPU and Ollama availability, route coding tasks across three compute tiers, and track cumulative cloud API dollar savings based on token usage.MIT
- Search notes by semantic meaning using local Ollama embeddings to find related content, even when no keywords match. Requires Ollama with nomic-embed-text; otherwise use keyword search.MIT
- List all installed Ollama models on your local machine and check their memory load status to discover available model names for chat, generation, or model info queries.MIT
- Send multi-turn chat requests to an Ollama model for conversational interactions with history, such as follow-ups or multi-step reasoning. Preserves context across messages.MIT
- Inspect detailed metadata of an installed Ollama model including architecture, license, and parameters before using it for chat or generation. Read-only and idempotent.MIT
- Search local Markdown docs for LangChain, LlamaIndex, Ollama, and XRPL concepts, symbols, and questions. Returns compact chunks without live crawling; shorten queries that yield zero matches.MIT
- Identify supported framework ids for LangChain, LlamaIndex, Ollama, and XRPL, including display names, aliases, homepages, and catalog topics. Resolve which framework string to pass when uncertain.MIT