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mcp-client-for-ollama
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mcp-client-for-ollama

Active·★ 718·MIT·Updated 2026-05-29
★ Dev Tooling★ LLM Infra

A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.

MCP Client for Ollama (ollmcp) is an interactive terminal application designed to connect local Ollama LLMs with Model Context Protocol (MCP) servers, facilitating advanced tool use and workflow automation. It offers a rich, user-friendly interface for real-time management of tools, models, and server connections without requiring any coding.

#Python#Ollama#LLM Tool Use#TUI#Model Context Protocol (MCP)#Agent Mode#Streamable HTTP#Configuration Management
$ Install
$ pip install --upgrade ollmcp
↗ Visit site★ GitHub
01

Features

01Agent Mode: Iterative tool execution when models request multiple tool calls, with a configurable loop limit to prevent infinite loops.
02Multi-Server Support: Connect to multiple MCP servers simultaneously.
03Human-in-the-Loop (HIL): Review and approve tool executions before they run for enhanced control and safety.
04History Management: View full conversation history, export to JSON for backup/analysis, and import previous sessions for continuity.
05Fuzzy Autocomplete: Interactive, arrow-key command autocomplete with descriptions.
02

Compatibility

Python
Runtime
Verified via docs
Ollama
LLM Runtime
Verified via docs
UV
Package Manager
Verified via docs
Ollama Cloud
Cloud LLM
Verified via docs
MCP Server (Python)
Server Language
Verified via docs
MCP Server (JavaScript)
Server Language
Verified via docs
03

Quick start

1
$ pip install --upgrade ollmcp
04

Use cases

↳Enabling Local LLM Tool Use: Connects local Ollama models to MCP servers, allowing them to utilize various tools.
↳Streamlining LLM Workflow Automation: Automates complex tasks by enabling LLMs to execute tools in sequence or iteratively.
↳Developing and Testing MCP Servers: Provides hot-reloading and configuration management for efficient development and testing of custom MCP servers.
↳Ensuring Safe Tool Execution with Human Oversight: Offers Human-in-the-Loop controls to review and approve tool calls, enhancing safety for critical operations.
05

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Related searches

mcp-client-for-ollama AlternativesBest Memory & Context Tools 2026Open Source Memory & Contextmcp-client-for-ollama Tutorialmcp-client-for-ollama Vs CompetitorsPythonOllamaLLM Tool Use

Comments

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  • R
    Rebel ZhangMay 15, 2026

    Does this support custom system prompts when initializing the Ollama backend?

  • Oaklyn Rivera
    Oaklyn RiveraApr 20, 2026

    Got it running smoothly on Python 3.11, though agent mode sometimes runs hot on my Macbook.

  • Remy Chen
    Remy ChenApr 6, 2026

    Love using this TUI to test MCP server integrations locally without spinning up a heavy web interface.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 718
Last commit1d ago
StatusActive
LicenseMIT
CategoryMemory & Context
Trend (30d)
+28.7↑ 0.8%
Links
Documentation↗Discussion↗Issues↗Releases↗

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