# MCP with Gemini Integration

> Use this tool when you need to build AI-powered applications with a flexible framework, leveraging the capabilities of Google Gemini LLM. It solves problems related to integrating large language models into custom applications, providing a scalable and efficient solution. The tool takes in model configurations and input data, outputting controlled and optimized AI-driven responses.

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

## Description

Implements a Model Control Protocol server integrated with Google Gemini LLM, providing a flexible framework for building AI-powered applications.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n50dm8u9ey)
- **Repository:** <https://github.com/ImDPS/mcp-python-sandbox>

## 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": "imdps-mcp"
    }
  }
}
```

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