# slim-mcp

> slim-mcp — joncik91-slim-mcp. Use this tool when you need to optimize agent performance by regaining context window space, solving issues of limited visibility and control. The slim-mcp proxy takes in standard MCP inputs and outputs optimized context windows, streamlining agent interactions. Ideal for use cases where agents require unobstructed access to their environment, such as complex navigation or multitasking scenarios.

Canonical page: https://skillsregistry.net/skills/joncik91-slim-mcp  
JSON: https://api.skillsregistry.net/v1/skills/joncik91-slim-mcp

## Description

MCP proxy that gives agents their context window back

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/Joncik91/slim-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": "joncik91-slim-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joncik91-slim-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joncik91-slim-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