# BitScale MCP Server

> Use this tool when you need to integrate your BitScale workspace with Claude for seamless management and automation. It solves problems related to grid management, data fetching, and enrichment runs by providing a natural language interface. The tool accepts natural language inputs and outputs grid details, row data, and run status, making it ideal for use cases that require efficient workspace management and automation.

Canonical page: https://skillsregistry.net/skills/featherflow-bitscale-mcp  
JSON: https://api.skillsregistry.net/v1/skills/featherflow-bitscale-mcp

## Description

Connects your BitScale workspace to Claude, allowing you to manage grids, fetch row data, and trigger enrichment runs via natural language. It provides tools for listing grids, checking run status, and retrieving workspace details.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vqsa0uflpy)
- **Repository:** <https://github.com/featherflow/bitscale-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": "featherflow-bitscale-mcp"
    }
  }
}
```

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