# WashedMCP

> Use this tool when you need to efficiently discover code relationships and optimize token usage in AI coding assistants. WashedMCP solves problems of cumbersome code searches and excessive token consumption by providing token-optimized semantic code search with automatic context expansion. It takes in code queries as input and outputs relevant code relationships, making it ideal for use cases where AI agents require streamlined coding assistance.

Canonical page: https://skillsregistry.net/skills/clarsbyte-washedmcp  
JSON: https://api.skillsregistry.net/v1/skills/clarsbyte-washedmcp

## Description

Token-optimized semantic code search with automatic context expansion for AI coding assistants, enabling efficient discovery of code relationships and reducing token usage.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gzbn6ule43)
- **Repository:** <https://github.com/clarsbyte/washedmcp>

## 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": "clarsbyte-washedmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clarsbyte-washedmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clarsbyte-washedmcp/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