# bearier-mcp

> bearier-mcp — kumabear917-bearier-mcp. Use this tool when you need to enable asynchronous collaboration between two desktop AI agents that cannot communicate directly. Bearier MCP solves the problem of agent isolation by providing a shared local task queue, allowing agents to exchange tasks without requiring API keys, IDE, or cloud connectivity. It takes in tasks from one agent and outputs them to another through a shared SQLite file interface.

Canonical page: https://skillsregistry.net/skills/kumabear917-bearier-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kumabear917-bearier-mcp

## Description

Bearier MCP lets two desktop AI agents collaborate asynchronously through a shared local task queue — no API keys, no IDE, no cloud. Just one SQLite file bridging agents that otherwise can't talk to each other.

## 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:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rc6swx2kmk)
- **Repository:** <https://github.com/kumabear917/bearier-mcp>

## 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": "kumabear917-bearier-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kumabear917-bearier-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kumabear917-bearier-mcp/pull`

---
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