# mcp-research-collective

> Use this tool when you need to facilitate collaborative research among multiple agents, leveraging a shared knowledge base to solve complex problems and generate collective insights. It solves use cases requiring distributed information gathering, analysis, and decision-making, and provides an interface for agents to contribute to and retrieve information from a centralized belief store. Ideal for applications where multi-agent collaboration can enhance research outcomes, such as data-intensive investigations or knowledge discovery tasks.

Canonical page: https://skillsregistry.net/skills/siegkat-mcp-agent-blackboard  
JSON: https://api.skillsregistry.net/v1/skills/siegkat-mcp-agent-blackboard

## Description

A multi-agent research system using a shared blackboard (belief store) for agents to collaborate, exposed as MCP tools for use with Claude Desktop or other MCP hosts.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/avf7xybih4)
- **Repository:** <https://github.com/SiegKat/mcp-agent-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": "siegkat-mcp-agent-blackboard"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siegkat-mcp-agent-blackboard` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siegkat-mcp-agent-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