# static-mcpify

> Use this tool when you need to provide AI agents with access to structured content, solving issues of dynamic data retrieval and integration. It builds static Markdown/JSON files served as a Model Context Protocol server, accepting data inputs and outputting formatted files for seamless agent interaction. Ideal for use cases requiring efficient, static content serving to AI agents, such as knowledge graph integration or data enrichment tasks.

Canonical page: https://skillsregistry.net/skills/megazear7-static-mcpify  
JSON: https://api.skillsregistry.net/v1/skills/megazear7-static-mcpify

## Description

Enables AI agents to access structured content by building static Markdown/JSON files served as a Model Context Protocol server.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sdzz335mz3)
- **Repository:** <https://github.com/megazear7/static-mcpify>

## 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": "megazear7-static-mcpify"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/megazear7-static-mcpify` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/megazear7-static-mcpify/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