# MarkMesh MCP

> MarkMesh MCP — team-markmesh-mark-mesh-skill. Use this tool when you need to research and monitor trademarks across multiple registers, or manage your trademark portfolio. It provides access to a comprehensive and normalized trademark corpus, enabling watch/monitoring capabilities, conflict research, and portfolio management. Ideal for trademark professionals, law firms, and businesses seeking to clear and protect their brands, this tool streamlines the research process without providing legal verdicts.

Canonical page: https://skillsregistry.net/skills/team-markmesh-mark-mesh-skill  
JSON: https://api.skillsregistry.net/v1/skills/team-markmesh-mark-mesh-skill

## Description

A trademark research and monitoring MCP server that provides access to a normalized trademark corpus across 30+ registers, with provenance on every record, watch/monitoring capabilities, conflict research via Nice class, and portfolio management tools—without returning legal verdicts, leaving availability judgments to qualified professionals.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iqvo4gq0xe)
- **Repository:** <https://github.com/team-markmesh/mark_mesh_skill>

## 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": "team-markmesh-mark-mesh-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/team-markmesh-mark-mesh-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/team-markmesh-mark-mesh-skill/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