mcp-client-for-ollama
Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.
Not yet testedsource: GitHubPythonMITcommit 7322a9e425cb
Python, MIT licensed. The project labels itself: agentic ai, ai, command line tool, harness, linux, local llm, macos and mcp.
mcp-client-for-ollama has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agentic-aiaicommand-line-toolharnesslinuxlocal-llmmacosmcpmcp-clientmcp-promptsmcp-resourcesmcp-servermcp-toolsmodel-context-protocolollamaopen-sourcessestdiostreamable-httpwindows
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Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/mcp-client-for-ollama)Questions
- Does mcp-client-for-ollama run?
- mcp-client-for-ollama has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test mcp-client-for-ollama?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for mcp-client-for-ollama?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.