# MCP Ollama Server

> Use this tool when you need to query databases using natural language, enabling users to retrieve data without requiring technical SQL knowledge. It solves problems of data accessibility and simplifies database interactions by accepting natural language inputs and returning relevant data outputs. Ideal for use cases where non-technical users require database access, such as data analysis or reporting.

Canonical page: https://skillsregistry.net/skills/ollibeyer-mcp-example  
JSON: https://api.skillsregistry.net/v1/skills/ollibeyer-mcp-example

## Description

Enables natural language database queries by combining Ollama's language models with SQLite database access through an MCP server.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mh2jv215q6)
- **Repository:** <https://github.com/ollibeyer/mcp-example>

## 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": "ollibeyer-mcp-example"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ollibeyer-mcp-example` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ollibeyer-mcp-example/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