Ollama MCP Server with

Created By

angrysky56a year ago

Use fast-agent to use MCP tools with local LLM, API or Claude Desktop. WIP

Overview

What is Ollama MCP Server?

Ollama MCP Server is a Model Context Protocol (MCP) server that allows Claude to run Ollama models asynchronously, storing outputs for later retrieval. It is built with uv for Python environment management.

How to use Ollama MCP Server?

To use the Ollama MCP Server, integrate it with Claude Desktop by copying the configuration from claude_desktop_config.json and adjusting file paths as necessary. You can then run models, execute scripts, and manage jobs through the provided tools.

Key features of Ollama MCP Server?

Asynchronous execution of Ollama models
Management of script templates with variable substitution
Execution of bash commands and multi-step workflows
Storage of all outputs in a dedicated directory
Simple configuration for integration with Claude Desktop

Use cases of Ollama MCP Server?

Running complex models without waiting for completion.
Automating workflows that involve multiple steps and commands.
Managing and executing script templates for various tasks.

FAQ from Ollama MCP Server?

Can I run multiple models at the same time?

Yes! The server supports asynchronous execution, allowing multiple models to run concurrently.

How do I check the status of a job?

You can use the get_job_status tool to check if a job is completed or still running.

Is there a limit to the number of scripts I can create?

No, you can create as many script templates as needed.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

angrysky56

Star

Language

Python

License

Recommend Servers

View All

Playwright Mcp

@microsoft

Playwright MCP server

TypeScript

a year ago

Lithuania Payments Mcp

@junter1989k-ai

7 days ago

Frontrun

@jongall45

VC follow intelligence for AI agents. Track what top investors follow on X — detect new follows, convergence signals, and trending companies before they're announced.

2 days ago

Australia Payments Mcp

@junter1989k-ai

7 days ago

Concordance

@matharrismma

Language models generate; Concordance verifies. The verify tool checks a claim deterministically (no model in the loop) and returns HOLDS / BROKEN / INCOMPLETE with the worked reasoning and a sealed receipt (content_hash + cite_url) that re-fetches byte-identical or not at all. Also: ranked search over an ~11k-record library, seal_fetch to re-verify any receipt, redact to strip PII before text travels, and a sealed connection graph. Runs sovereign/offline too (stdlib-first Python). A public false-positive benchmark covers every domain: the engine has never sealed a falsehood. 38 tools live; remote endpoint at https://narrowhighway.com/mcp.

7 days ago

Bulgaria Payments Mcp

@junter1989k-ai

7 days ago

Zhipu Web Search

@BigModel

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

a year ago

GitLab

@modelcontextprotocol

GitLab API, enabling project management

a year ago

Serper MCP Server

@garymengcom

A Serper MCP Server

Python

a year ago

Costa Rica Payments Mcp

@junter1989k-ai

7 days ago

Mailtrap Email Sending MCP

@Mailtrap

An MCP server that provides a tool for sending transactional emails via Mailtrap

a year ago

7 days ago

7 days ago

7 days ago

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

Python

a year ago

7 days ago

7 days ago

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

a year ago

Aws Kb Retrieval Server

@modelcontextprotocol

An MCP server implementation for retrieving information from the AWS Knowledge Base using the Bedrock Agent Runtime.

a year ago

302_browser_use_mcp

@302ai

Automatically create a remote browser to complete your specified tasks, developed based on Browser Use + Sandbox. 自动创建一个远程浏览器，完成你指定的任务，基于Browser Use + Sandbox开发。

a year ago

Neon MCP Server

@neondatabase-labs

MCP server for interacting with Neon Management API and databases

TypeScript

a year ago

Slovenia Payments Mcp

@junter1989k-ai

7 days ago

Filesystem

@modelcontextprotocol

3 months ago