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Deep social media search for LLMs: Facebook, Reddit, LinkedIn, Instagram & more.
40FairInstall
~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"shubhamekapure-social-search-mcp": {
"command": "uvx",
"args": [
"social-search-mcp"
],
"env": {
"SEARCH_PROVIDER": "",
"SERPER_API_KEY": "YOUR_SERPER_API_KEY",
"SEARXNG_URL": ""
}
}
}
}
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Environment
| Name | Required | Notes |
|---|
| SEARCH_PROVIDER | No | Search backend: 'serper', 'searxng', or 'google'. Default: searxng |
| SERPER_API_KEY | No | API key from serper.dev. Required if SEARCH_PROVIDER=serper. Secret. |
| SEARXNG_URL | No | URL of your SearXNG instance. Default: http://localhost:8080 |
Tools show up when the registry metadata or the repository README lists them. GitHub enrichment fills this in when a token is configured.
About
Deep social media search for LLMs: Facebook, Reddit, LinkedIn, Instagram & more.
FAQ
- What is social-search-mcp?
- Deep social media search for LLMs: Facebook, Reddit, LinkedIn, Instagram & more.
- How do I install social-search-mcp?
- Pick a client above and copy the generated config. Cursor and VS Code also have a deep link when the server can run locally or remotely.
- Is social-search-mcp official?
- No. Registry-listed is not the same as vendor-official. Read the methodology for the difference.
- How is the trust score calculated?
- This listing scores 40 (Fair). The formula is published on the methodology page.
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