# mcp-bold-systems

> mcp-bold-systems — pipeworx-io-mcp-bold-systems. Use this tool when you need to access a comprehensive global DNA barcode reference library, providing specimen records, taxonomy, and barcode sequences to identify species and assign them to species-proxy clusters. It solves problems in biodiversity research, species identification, and taxonomy by offering a vast repository of DNA barcode data. The system accepts query inputs and returns outputs such as specimen records, barcode sequences, and BIN assignments, making it a valuable resource for researchers and scientists in the field of molecular biology and ecology.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-bold-systems  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-bold-systems

## Description

BOLD Systems (Barcode of Life Data System, University of Guelph) — the global DNA barcode reference library: specimen records with collection locality, institution and taxonomy, the COI/rbcL/matK barcode sequences themselves, and BIN (species-proxy cluster) assignments. Keyless.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-bold-systems)

## 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": "pipeworx-io-mcp-bold-systems"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-bold-systems` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-bold-systems/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