# Goalie Trademark MCP

> Goalie Trademark MCP — goalie-mcp-trademark-mcp. Use this tool when you need to search and filter the entire USPTO trademark register, rather than just retrieving a single record by serial or registration number. The Goalie Trademark MCP solves problems of incomplete data by allowing agents to discover new marks without prior knowledge of their numbers. It accepts search queries as input and returns relevant trademark records as output, making it ideal for use cases requiring comprehensive trademark research.

Canonical page: https://skillsregistry.net/skills/goalie-mcp-trademark-mcp  
JSON: https://api.skillsregistry.net/v1/skills/goalie-mcp-trademark-mcp

## Description

Not another TSDR wrapper.
Most trademark MCP servers wrap the USPTO's TSDR endpoint, which returns a single record when you already know its serial or registration number. Ours searches and filters the whole register. Your agent can find the marks it doesn't already have the numbers for.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yum4nbv8xw)
- **Repository:** <https://github.com/goalie-mcp/trademark-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": "goalie-mcp-trademark-mcp"
    }
  }
}
```

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

---
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