# antigravity-mcp-bridge

> antigravity-mcp-bridge — rendiya-antigravity-mcp-bridge-openai-client. Use this tool when you need to integrate local development tools with AI-powered functionality, providing real-time database context through an OpenAI-compatible API bridge. It solves problems of fragmented development workflows and limited AI integration by registering local tools and enabling seamless communication. Ideal for use cases requiring collaborative development and AI-driven insights, with inputs including local tool registrations and database context, and outputs featuring API-compatible responses.

Canonical page: https://skillsregistry.net/skills/rendiya-antigravity-mcp-bridge-openai-client  
JSON: https://api.skillsregistry.net/v1/skills/rendiya-antigravity-mcp-bridge-openai-client

## Description

MCP server for Antigravity IDE that registers local tools and provides an OpenAI-compatible API bridge with real-time database context.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nniz3337a9)
- **Repository:** <https://github.com/rendiya/antigravity-mcp-bridge-openai-client>

## 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": "rendiya-antigravity-mcp-bridge-openai-client"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rendiya-antigravity-mcp-bridge-openai-client` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rendiya-antigravity-mcp-bridge-openai-client/pull`

---
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