# MCPWorks

> Use this tool when you need to efficiently process large datasets while minimizing AI token costs. MCPWorks solves the problem of costly data processing by running user code in a secure sandbox, keeping data out of the context window. It takes in user code and data as inputs and outputs processed results, making it ideal for use cases where data privacy and cost-effectiveness are crucial.

Canonical page: https://skillsregistry.net/skills/mcpworks-technologies-inc-mcpworks-api  
JSON: https://api.skillsregistry.net/v1/skills/mcpworks-technologies-inc-mcpworks-api

## Description

Cuts AI token costs by running user code in a secure sandbox, so data never enters the context window, enabling efficient data processing with MCP protocol.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zi6vlteqry)
- **Repository:** <https://github.com/MCPWorks-Technologies-Inc/mcpworks-api>

## 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": "mcpworks-technologies-inc-mcpworks-api"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcpworks-technologies-inc-mcpworks-api` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcpworks-technologies-inc-mcpworks-api/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