# Ollama

> Use this tool when you need to integrate Ollama's language models into MCP-compatible applications, enabling seamless communication between Claude Desktop and Ollama LLM servers. It solves problems related to AI-assisted writing, code generation, and data analysis by providing a local alternative to cloud-based language models. The tool takes in MCP requests and outputs Ollama API responses, making it ideal for developers and researchers seeking to leverage local LLM capabilities within the MCP ecosystem.

Canonical page: https://skillsregistry.net/skills/vincentf305-ollama  
JSON: https://api.skillsregistry.net/v1/skills/vincentf305-ollama

## Description

This MCP server for Ollama, developed as an open-source project, enables Claude Desktop to communicate with Ollama LLM servers. Built with Python and FastAPI, it provides a bridge between the Model Control Protocol and Ollama's API, allowing seamless integration of Ollama's language models into MCP-compatible applications. The implementation focuses on simplicity and ease of deployment, with Docker support for containerization. It's particularly useful for developers and researchers looking to leverage Ollama's local LLM capabilities within the MCP ecosystem, enabling use cases like AI-assisted writing, code generation, and data analysis without relying on cloud-based language models.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/vincentf305-ollama)
- **Repository:** <https://github.com/vincentf305/mcp-server-ollama>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vincentf305-ollama"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vincentf305-ollama` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vincentf305-ollama/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt