# mulchd

> mulchd — chachegs-mulchd. Use this tool when you need to efficiently manage and serve structured team knowledge to AI agents, solving the problem of repetitive prompting and context switching. It takes in team knowledge and context as input and outputs relevant information to AI sessions, enabling seamless access to shared understanding. Ideal for use cases where AI agents require consistent and up-to-date team context to operate effectively.

Canonical page: https://skillsregistry.net/skills/chachegs-mulchd  
JSON: https://api.skillsregistry.net/v1/skills/chachegs-mulchd

## Description

Self-hosted MCP server for storing and serving structured team knowledge, enabling AI sessions to load relevant team context without re-prompting.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qbb0xqh210)
- **Repository:** <https://github.com/ChacheGS/mulchd>

## 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": "chachegs-mulchd"
    }
  }
}
```

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