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mcp-client-for-ollama

jonigl/mcp-client-for-ollama

TUI MCP Client for Ollama enables local LLM interaction with extensive features.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

72views this month

824 stars129 forksLast push Sep 14, 2026 Python MIT

Decision brief

For developers focused on local LLM interaction with robust features such as streaming responses and human-in-the-loop collaboration through a TUI interface

Good fit when

  • If your project requires extensive interactions with locally-hosted large language models, offering agents and tools for automation directly from a text-based user interface.
  • When you need to switch between multiple LLMs easily and control settings like model parameters or system prompts, enhancing flexibility for varied workflows.

Avoid when

  • If your setup is more about integrating with distant servers in the cloud rather than engaging local models, as this tool focuses on interfacing with locally available resources.
  • For environments that need purely graphical user interfaces (GUI) since mcp-client-for-ollama provides a text-based user interface which might be a limitation if advanced visualization is required.

Observed Jul 15, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (5d since push)
As of Sep 20, 2026
Provenance
Not a fork · Personal account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Aug 2, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install mcp-client-for-ollama
PyPI

How it fits your stack(2)

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Relationship graph

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Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

jonigl/mcp-client-for-ollama offers a TUI client that supports local large language model (LLM) interaction through the Model Context Protocol (MCP). It includes tools, prompts, resources, and an agent mode among other functionalities like model switching, streaming responses, human-in-the-loop support.

Capability facts

CLI
CLI entrypoint

Source: pyproject.toml:[project.scripts] · Sep 20, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

- **Python 3.11+** ([Installation guide](https://www.python.org/downloads/))
Source link

Tags

README

Requirements Python 3.11+ (Installation guide) Ollama running locally (Installation guide) After installation, run to see available models. If no models are installed, you can pull one using . For example, . UV package manager (Installation guide) Quick Start Install via pip, add...

For agents

This page has a .md twin and JSON over the API.

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