# Harbormaster

> Harbormaster — theonetheycallneo-harbormaster. Use this tool when you need to orchestrate multiple tools and manage documents in a secure and efficient manner. The Harbormaster ingests documents, provides per-user retrieval and navigation, and invokes tools from a large registry, solving problems related to information overload and tool discovery. It is ideal for use cases requiring authenticated access and progressive discovery, with inputs including documents and tool requests, and outputs including search results and invoked tool responses.

Canonical page: https://skillsregistry.net/skills/theonetheycallneo-harbormaster  
JSON: https://api.skillsregistry.net/v1/skills/theonetheycallneo-harbormaster

## Description

An authenticated MCP gateway that ingests documents and orchestrates hundreds of tools via progressive discovery, keeping context cost constant. It provides per-user RAG over ingested documents and a 116-tool registry that the model navigates through search, describe, and invoke tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rqmw9y58ys)
- **Repository:** <https://github.com/theonetheycallneo/harbormaster>

## 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": "theonetheycallneo-harbormaster"
    }
  }
}
```

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