# Token-Efficient MCP Server

> Use this tool when you need to efficiently process large datasets like CSVs and logs while minimizing token usage. It solves problems of secure code execution and optimized context usage for large language models (LLMs), providing sandboxed environments for multi-language execution. Ideal for use cases requiring high token efficiency and secure data processing.

Canonical page: https://skillsregistry.net/skills/ingpoc-token-efficient-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ingpoc-token-efficient-mcp

## Description

Provides sandboxed code execution and data processing for CSVs and logs to achieve over 95% token savings. It enables secure multi-language execution and progressive tool disclosure to optimize LLM context usage.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/irr5qstvae)
- **Repository:** <https://github.com/ingpoc/token-efficient-mcp>

## 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": "ingpoc-token-efficient-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ingpoc-token-efficient-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ingpoc-token-efficient-mcp/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