# Facebook Marketplace MCP

> Facebook Marketplace MCP — maxaiassistant77-facebook-marketplace-mcp. Use this tool when you need to search and retrieve listing details from Facebook Marketplace without requiring login credentials or browser automation. It solves problems related to data scraping and retrieval from Facebook Marketplace by providing a direct interface to public GraphQL endpoints. The tool takes search queries as input and outputs listing details, making it ideal for use cases that require efficient and automated data collection from the platform.

Canonical page: https://skillsregistry.net/skills/maxaiassistant77-facebook-marketplace-mcp  
JSON: https://api.skillsregistry.net/v1/skills/maxaiassistant77-facebook-marketplace-mcp

## Description

A focused Model Context Protocol server that enables AI agents to search Facebook Marketplace and retrieve listing details using public GraphQL endpoints, without browser automation or login.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uueplajz0c)
- **Repository:** <https://github.com/maxaiassistant77/facebook-marketplace-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": "maxaiassistant77-facebook-marketplace-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maxaiassistant77-facebook-marketplace-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maxaiassistant77-facebook-marketplace-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