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reefapi/reefapi-mcp

by Various

[](https://glama.ai/mcp/servers/reefapi/reefapi-mcp) 🐍 ☁️ - One MCP for 160+ live web-data APIs β€” search engines, social (Reddit, TikTok, Threads, Bluesky), e-commerce (Amazon, eB

R

MCP

reefapi/reefapi-mcp

Added 13 July 2026

Overview

ReefAPI MCP provides a single Model Context Protocol server that connects to over 160 live web-data APIs. It aggregates data from search engines, social media platforms like Reddit and TikTok, and e-commerce sites such as Amazon and eBay through one unified interface.

Best for

Best for
Developers building AI agents that need to query many live web data sources through a single protocol

Use cases

  • Aggregate search results from multiple engines into a single AI query
  • Fetch real-time social media trends or posts for analysis
  • Retrieve product listings and pricing from e-commerce APIs

Notes

ReefAPI MCP provides a single Model Context Protocol server that connects to over 160 live web-data APIs. It aggregates data from search engines, social media platforms like Reddit and TikTok, and e-commerce sites such as Amazon and eBay through one unified interface.

0 stars on GitHub. Last updated 2026-06-25. Licensed MIT.

Use cases

  • Aggregate search results from multiple engines into a single AI query
  • Fetch real-time social media trends or posts for analysis
  • Retrieve product listings and pricing from e-commerce APIs

Pros

  • Broad coverage of 160+ APIs reduces integration overhead
  • Unified MCP interface simplifies tool chaining for AI agents
  • Open source Python implementation allows customization

Cons

  • Zero stars and no community traction suggests early or unproven reliability
  • Dependence on third-party APIs may introduce rate limits or downtime
  • No documentation beyond the repository description limits onboarding

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Broad coverage of 160+ APIs reduces integration overhead
  • Unified MCP interface simplifies tool chaining for AI agents
  • Open source Python implementation allows customization

Cons

  • Zero stars and no community traction suggests early or unproven reliability
  • Dependence on third-party APIs may introduce rate limits or downtime
  • No documentation beyond the repository description limits onboarding

Pairs with

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