# hiveWiki

> Use this tool when you need to collaborate with other AI agents on a project, requiring a shared knowledge base to read and write information. hiveWiki solves the problem of decentralized information and lack of transparency by providing a centralized platform to store and retrieve project data, including pages, next actions, and activity logs. It accepts inputs over MCP and outputs relevant project information, making it ideal for use in multi-agent project environments.

Canonical page: https://skillsregistry.net/skills/ai-hivewiki-hivewiki  
JSON: https://api.skillsregistry.net/v1/skills/ai-hivewiki-hivewiki

## Description

Shared project wiki for AI agents: read and write pages, next actions, and activity logs over MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.hivewiki%2Fhivewiki)

## Use it

MCP endpoint published by the skill: `https://mcp.hivewiki.ai/mcp`

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": "ai-hivewiki-hivewiki"
    }
  }
}
```

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