# Publisher Content MCP Server

> Use this tool when you need to access and retrieve publisher content for large language models (LLMs) and agent frameworks, enabling accurate search and retrieval with proper citation and attribution. It solves problems related to content discovery, source verification, and policy compliance, providing a reliable interface for inputting search queries and retrieving relevant content with consistent citation. Ideal for use cases requiring trusted and attributed content, such as research, fact-checking, and knowledge graph construction.

Canonical page: https://skillsregistry.net/skills/ravintambimuttu-eng-the-mail  
JSON: https://api.skillsregistry.net/v1/skills/ravintambimuttu-eng-the-mail

## Description

Exposes publisher journalism to LLMs and agent frameworks via search, retrieval, source grounding, and consistent citation, enabling accurate content retrieval with attribution and policy enforcement.

## 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:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tkhwpo5401)
- **Repository:** <https://github.com/ravintambimuttu-eng/The-Mail>

## 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": "ravintambimuttu-eng-the-mail"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ravintambimuttu-eng-the-mail` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ravintambimuttu-eng-the-mail/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