# mcp-context-condenser

> mcp-context-condenser — rafim-dev-mcp-context-condenser. Use this tool when you need to optimize AI coding agent performance by reducing token usage and LLM API costs. The mcp-context-condenser achieves this through token-slimming AST code outlining, log compression, and context budget analysis, resulting in cost savings of up to 85%. Ideal for use with AI agents like Cursor, Claude, and Cline, it streamlines code and log data to improve overall efficiency.

Canonical page: https://skillsregistry.net/skills/rafim-dev-mcp-context-condenser  
JSON: https://api.skillsregistry.net/v1/skills/rafim-dev-mcp-context-condenser

## Description

Token-slimming AST code outliner, log compressor & context budget analyzer for AI coding agents (Cursor, Claude, Cline, Antigravity). Slashes token usage & LLM API bills up to 85%.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rafim-dev/mcp-context-condenser)

## 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": "rafim-dev-mcp-context-condenser"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafim-dev-mcp-context-condenser` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafim-dev-mcp-context-condenser/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