# beerman

> beerman — nitineeen-beerman. Use this tool when you need to manage long-term project memory and retrieve specific information about milestones, decisions, and architecture specs. Beerman's MCP server enables AI agents to store and semantically search project data via the Supermemory vector store, solving problems related to information retrieval and project knowledge management. It accepts project data as input and outputs relevant search results, ideal for use cases requiring efficient project memory recall and analysis.

Canonical page: https://skillsregistry.net/skills/nitineeen-beerman  
JSON: https://api.skillsregistry.net/v1/skills/nitineeen-beerman

## Description

MCP server for long-term project memory management, allowing AI agents to store and semantically search project milestones, decisions, and architecture specs via Supermemory vector store.

## Trust

- **Trust score (0–1):** 0.68
- **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/jb27e06wmj)
- **Repository:** <https://github.com/nitineeen/beerman>

## 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": "nitineeen-beerman"
    }
  }
}
```

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