# TesteMCP

> TesteMCP — ericzaim-testemcp. Use this tool when you need to efficiently read and list JSON documents while minimizing token usage. It solves problems related to data compression and token optimization, particularly in applications using Claude Haiku and Headroom compression. The TesteMCP tool takes JSON documents as input and outputs a list of documents, making it ideal for use cases requiring data processing and compression.

Canonical page: https://skillsregistry.net/skills/ericzaim-testemcp  
JSON: https://api.skillsregistry.net/v1/skills/ericzaim-testemcp

## Description

MCP server for reading and listing JSON documents, designed to be used with Claude Haiku and Headroom compression to reduce token usage. It demonstrates an end-to-end MCP tool-use loop with stdio transport.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/t5hfy6rglm)
- **Repository:** <https://github.com/ericzaim/TesteMCP>

## 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": "ericzaim-testemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ericzaim-testemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ericzaim-testemcp/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