# contextslim

> contextslim — friczerocom-cpu-contextslim-python. Use this tool when you need to optimize AI agent performance by pruning large JSON contexts and handling micropayments. Contextslim solves the problems of excessive token usage and latency, providing a streamlined interface for inputting large JSON data and outputting optimized contexts. It is ideal for use cases where efficient AI agent token management and fast transaction processing are crucial, such as in high-volume Base applications.

Canonical page: https://skillsregistry.net/skills/friczerocom-cpu-contextslim-python  
JSON: https://api.skillsregistry.net/v1/skills/friczerocom-cpu-contextslim-python

## Description

MCP server for pruning large JSON contexts and handling x402 micropayments on Base, optimizing AI agent token usage and latency.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nu03ej9cti)
- **Repository:** <https://github.com/friczerocom-cpu/contextslim-python>

## 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": "friczerocom-cpu-contextslim-python"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/friczerocom-cpu-contextslim-python` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/friczerocom-cpu-contextslim-python/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