# MCP Server Playground

> Use this tool when you need to integrate language models with external knowledge sources, such as random facts and Japan-related FAQs, via a FastAPI app with MCP tools and LiteLLM proxy. It solves problems of accessing diverse information and enables LLMs to retrieve specific data through predefined endpoints. Ideal for use cases requiring dynamic knowledge retrieval and integration with AI models.

Canonical page: https://skillsregistry.net/skills/deivit24-test-mcp-litellm  
JSON: https://api.skillsregistry.net/v1/skills/deivit24-test-mcp-litellm

## Description

A learning project that wraps a FastAPI app with endpoints for random facts and Japan FAQs as MCP tools, enabling LLMs to call them via LiteLLM proxy.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/otp105ep0d)
- **Repository:** <https://github.com/deivit24/test_mcp_litellm>

## 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": "deivit24-test-mcp-litellm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/deivit24-test-mcp-litellm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/deivit24-test-mcp-litellm/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