# LiteLLM MCP Server Bridge

> Use this tool when you need to integrate Antigravity with LiteLLM instances for advanced model management and interaction. It enables features like chat completions, model listing, and health checks through the Model Context Protocol. Ideal for applications requiring seamless communication between Antigravity and LiteLLM, facilitating efficient model utilization and monitoring.

Canonical page: https://skillsregistry.net/skills/abhishekmore-1-litellm-proxy-mcp  
JSON: https://api.skillsregistry.net/v1/skills/abhishekmore-1-litellm-proxy-mcp

## Description

Connects Antigravity to a LiteLLM instance, enabling chat completions, model listing, health checks, and more via the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vkhsj08g4e)
- **Repository:** <https://github.com/AbhishekMore-1/litellm-proxy-mcp>

## 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": "abhishekmore-1-litellm-proxy-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abhishekmore-1-litellm-proxy-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abhishekmore-1-litellm-proxy-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