mcp-client-for-ollama: Harness the power of local LLMs with this TUI MCP Client for Ollama

by jonigl · MCP Server · ★ 827

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-client-for-ollama

git clone https://github.com/jonigl/mcp-client-for-ollama.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentic-aiaicommand-line-toolharnesslinuxlocal-llmmacosmcpmcp-clientmcp-prompts

Quick Facts

Stars827
Forks129
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70/100
Open Issues17
Last Updated2026-10-01
Created2025-04-23
Platformscli, mcp, python
Est. Tokens~23k

About mcp-client-for-ollama

A simple yet powerful Python client for interacting with Model Context Protocol (MCP) servers using Ollama, allowing local LLMs to use tools. MCP Client for Ollama (ollmcp) 🎥 Watch this demo as an Asciinema recording Table of Contents Overview Features Requirements Quick Start Usage [Command-line Arguments](#command-line-argu

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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