# serena-slim

> Use this tool when you need to optimize AI assistant performance by reducing context usage without compromising functionality. Serena-slim solves the problem of excessive memory consumption, making it ideal for applications where resources are limited. It takes in standard AI assistant input and outputs optimized context, allowing for seamless integration into existing systems.

Canonical page: https://skillsregistry.net/skills/mcpslim-serena-slim  
JSON: https://api.skillsregistry.net/v1/skills/mcpslim-serena-slim

## Description

Token-optimized Serena MCP server for AI assistants, reduces context usage by 50% with zero functionality loss.

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3jkz03a2n)
- **Repository:** <https://github.com/mcpslim/serena-slim>

## 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": "mcpslim-serena-slim"
    }
  }
}
```

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