# BuddyPress MCP Server

> Use this tool when you need to integrate AI-powered community management into BuddyPress sites, enabling natural language interactions for tasks such as activity updates, member management, and message sending. It solves problems related to automating community engagement, content creation, and user interaction through a REST API v2 interface. This tool accepts natural language inputs and outputs relevant community data, making it ideal for use cases requiring seamless AI-driven community management.

Canonical page: https://skillsregistry.net/skills/vapvarun-buddypress-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vapvarun-buddypress-mcp

## Description

Enables AI assistants to interact with BuddyPress sites through the REST API v2. Supports comprehensive community management including activities, members, groups, profiles, messages, friendships, and notifications through natural language.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cqscnepyav)
- **Repository:** <https://github.com/vapvarun/buddypress-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": "vapvarun-buddypress-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vapvarun-buddypress-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vapvarun-buddypress-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
