# omnibridgemcp

> omnibridgemcp — syeddaiam9101-omnibridgemcp. Use this tool when you need to securely test and validate AI agent code in a isolated sandbox environment. OmniBridge provides a temporary, gVisor-isolated space for AI agents to run and prove their code works, solving problems related to code security and reliability. It accepts code inputs via git and outputs cryptographically verified results, ideal for pre-production testing and validation.

Canonical page: https://skillsregistry.net/skills/syeddaiam9101-omnibridgemcp  
JSON: https://api.skillsregistry.net/v1/skills/syeddaiam9101-omnibridgemcp

## Description

OmniBridge is an MCP server that gives AI agents an ephemeral, gVisor-isolated sandbox to run, test, and cryptographically prove their code works — before it ever reaches production.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** finance
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SyedDaiam9101/omnibridgemcp)

## 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": "syeddaiam9101-omnibridgemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/syeddaiam9101-omnibridgemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/syeddaiam9101-omnibridgemcp/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