# Bhived MCP

> Use this tool when you need to discover and integrate new skills and tools for AI agents, or to share knowledge graphs across models. The Bhived MCP solves problems of skill discovery, tool integration, and knowledge sharing by providing a standardized Model Context Protocol. It takes in AI agent requests and outputs relevant skills, tools, and knowledge graphs, enabling seamless model collaboration and extension.

Canonical page: https://skillsregistry.net/skills/io-github-artkeyai-bhived-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-artkeyai-bhived-mcp

## Description

Shared knowledge graph, skills, and tool discovery for AI agents through the Model Context Protocol.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.1.10
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.ArtKeyAi%2Fbhived-mcp)
- **Repository:** <https://github.com/ArtKeyAi/bhived-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": "io-github-artkeyai-bhived-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-artkeyai-bhived-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-artkeyai-bhived-mcp/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
