# FastBound MCP

> Use this tool when you need to interact with firearms inventory management systems using natural language, enabling efficient search, acquisition, and disposition recording, as well as contact management and report generation. It solves problems related to inventory tracking, compliance, and data management for firearms dealers and manufacturers. The tool accepts natural language inputs and generates relevant outputs, such as inventory reports and disposition records, making it ideal for use cases that require streamlined and secure firearms management.

Canonical page: https://skillsregistry.net/skills/xuanji86-fastbound-mcp  
JSON: https://api.skillsregistry.net/v1/skills/xuanji86-fastbound-mcp

## Description

Enables natural language interaction with FastBound's firearms Acquisition & Disposition API for inventory search, acquisition/disposition recording, contact management, and report generation, with safety guards for write operations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xkk3xliu69)
- **Repository:** <https://github.com/xuanji86/fastbound-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": "xuanji86-fastbound-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xuanji86-fastbound-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xuanji86-fastbound-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