# agent-bridge

> Use this tool when you need to facilitate collaboration between AI agents and humans on project tasks, enabling seamless management and tracking of workflows through a Kanban board interface. It solves problems of disjointed task management and communication breakdowns between human and AI team members. The agent-bridge tool accepts task inputs and outputs progress updates, making it ideal for use in projects requiring hybrid human-AI collaboration and MCP tool integration.

Canonical page: https://skillsregistry.net/skills/0xkaz-agent-bridge  
JSON: https://api.skillsregistry.net/v1/skills/0xkaz-agent-bridge

## Description

A Kanban board enabling AI agents and humans to collaborate on tasks through MCP tools for project and task management.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eal0xthip3)
- **Repository:** <https://github.com/0xkaz/agent-bridge>

## 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": "0xkaz-agent-bridge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/0xkaz-agent-bridge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/0xkaz-agent-bridge/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