# champollion-sulcal-mcp

> champollion-sulcal-mcp — barthelemy-drabczuk-champollion-sulcal-mcp. Use this tool when you need to automate and streamline the Champollion sulcal embedding pipeline, solving problems related to manual shell command execution and pipeline debugging. It takes in pipeline stages as input and outputs a monitored and debugged pipeline, providing a user-friendly interface for agents to manage the process. This tool is ideal for use cases requiring efficient and error-free pipeline execution, such as data processing and analysis workflows.

Canonical page: https://skillsregistry.net/skills/barthelemy-drabczuk-champollion-sulcal-mcp  
JSON: https://api.skillsregistry.net/v1/skills/barthelemy-drabczuk-champollion-sulcal-mcp

## Description

Exposes each stage of the Champollion sulcal embedding pipeline as MCP tools, enabling agents to run, monitor, and debug the pipeline without manual shell commands.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w0j3rhr26s)
- **Repository:** <https://github.com/Barthelemy-Drabczuk/champollion_sulcal_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": "barthelemy-drabczuk-champollion-sulcal-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barthelemy-drabczuk-champollion-sulcal-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barthelemy-drabczuk-champollion-sulcal-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