# AgentBridge

> AgentBridge — indexflowing-agentbridge. Use this tool when you need to securely integrate frontier AI models with local coding executors across isolated workspaces. AgentBridge solves the problem of bridging AI models to local environments, providing a universal gateway and runtime for seamless execution. It takes AI models as input and outputs executable code, ideal for use cases requiring secure and isolated AI model deployment, with a headless Linux daemon and desktop GUI interface.

Canonical page: https://skillsregistry.net/skills/indexflowing-agentbridge  
JSON: https://api.skillsregistry.net/v1/skills/indexflowing-agentbridge

## Description

Universal MCP Gateway & Agent Runtime in Rust. Securely bridges frontier AI models to local coding executors across isolated workspaces. Headless Linux daemon & desktop GUI.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/IndexFlowing/AgentBridge)

## 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": "indexflowing-agentbridge"
    }
  }
}
```

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