# publishwith.ai

> Use this tool when you need to securely share and manage AI-generated reports, controlling access and tracking changes with versioning and auditing capabilities. It solves problems of sensitive information leakage and unauthorized access by providing revocation and access control features. Ideal for organizations requiring collaborative and compliant report sharing, it takes AI reports as input and outputs managed native links with customizable permissions.

Canonical page: https://skillsregistry.net/skills/ai-publishwith-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-publishwith-mcp

## Description

Publish AI reports as managed native links with versions, access control, revocation, and audit.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.publishwith%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://publishwith.ai/mcp`

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": "ai-publishwith-mcp"
    }
  }
}
```

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