# McpLLMServer

> Use this tool when you need to integrate Large Language Models (LLMs) with Ollama models, enabling standardized interactions and data exchange. It solves problems of data persistence and caching through optional MySQL and Redis integration, streamlining LLM agent interactions. The McpLLMServer takes in LLM requests and outputs standardized MCP responses, ideal for use cases requiring seamless model integration and data management.

Canonical page: https://skillsregistry.net/skills/lhmpaipublic-mcpllmserver  
JSON: https://api.skillsregistry.net/v1/skills/lhmpaipublic-mcpllmserver

## Description

A FastAPI-based MCP server that enables LLM agents to interact with Ollama models through standardized MCP tools, with optional MySQL and Redis integration for data persistence and caching.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wgnuis6h6r)
- **Repository:** <https://github.com/lhmpaiPublic/McpLLMServer>

## 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": "lhmpaipublic-mcpllmserver"
    }
  }
}
```

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