# seam

> seam — aedrand-seam. Use this tool when you need to share project context between AI agents across multiple machines, enabling seamless collaboration and synchronization. Seam solves the problem of isolated agent environments by providing a lightweight MCP server that integrates with git for version control. It accepts project data as input and outputs a unified context for AI agents to operate in harmony.

Canonical page: https://skillsregistry.net/skills/aedrand-seam  
JSON: https://api.skillsregistry.net/v1/skills/aedrand-seam

## Description

Lightweight MCP server for sharing project context between AI agents across machines

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Aedrand/seam)

## 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": "aedrand-seam"
    }
  }
}
```

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