# mcp-server

> mcp-server — bitdive-mcp-server. Use this tool when you need to provide real-time context and integration testing for AI agents, solving issues with autonomous quality loops and model performance. It offers inputs for git integration and outputs for before/after trace comparison and workflow testing. Ideal for use cases requiring runtime context and automated testing workflows for AI model development and deployment.

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

## Description

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/bitDive/mcp-server)

## 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": "bitdive-mcp-server"
    }
  }
}
```

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