# custom-mcp-server

> Use this tool when you need to integrate custom Python functions with Ollama or expose them as reusable tools, solving problems of automation and workflow customization by taking in Python functions as input and outputting integrated tools with Ollama compatibility. It streamlines tool calling and workflow automation, making it ideal for scenarios where custom functionality is required. This integration enables seamless interaction between custom Python code and Ollama's tool ecosystem.

Canonical page: https://skillsregistry.net/skills/dakofler-ollama-mcp-demo  
JSON: https://api.skillsregistry.net/v1/skills/dakofler-ollama-mcp-demo

## Description

Exposes custom Python functions as tools and integrates with Ollama for tool calling.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jkkh2rfwyo)
- **Repository:** <https://github.com/dakofler/ollama-mcp-demo>

## 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": "dakofler-ollama-mcp-demo"
    }
  }
}
```

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