# blackboard

> blackboard — masaki-kato-119-llm-collaboration-blackboard. Use this tool when you need to facilitate collaborative planning and task management among multiple stakeholders, including LLMs and humans, to create, assign, and track tasks in a shared workspace. It solves problems of coordination, visibility, and access control, enabling seamless teamwork and auditing. The blackboard accepts Markdown-based input and provides a role-based access interface with audit event outputs.

Canonical page: https://skillsregistry.net/skills/masaki-kato-119-llm-collaboration-blackboard  
JSON: https://api.skillsregistry.net/v1/skills/masaki-kato-119-llm-collaboration-blackboard

## Description

This MCP server enables collaborative planning and task management on a shared Markdown-based blackboard, allowing multiple LLMs and humans to create, claim, update, and track tasks with audit events and role-based access.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gtz3rtfh30)
- **Repository:** <https://github.com/masaki-kato-119/llm_collaboration_blackboard>

## 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": "masaki-kato-119-llm-collaboration-blackboard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/masaki-kato-119-llm-collaboration-blackboard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/masaki-kato-119-llm-collaboration-blackboard/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