by gefsikatsinelou · MCP Server · ★ 51
MetaSearchMCP Open-source metasearch backend for MCP, AI agents, and LLM workflows. MetaSearchMCP aggregates results from multiple search providers, normalizes them into a stable JSON schema, and exposes both an HTTP API and an MCP server for agent tooling. Positioning MCP-first metasearch backend Structured search API for AI pipelines Multi-provider search orchestration with deduplication and fallback Python FastAPI alternative to browser-first metasearch projects Why It Exists Most search aggregators are designed around browser UX: HTML pages, pagination, and interactive result cards.
| Stars | 51 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.5018219839752/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-08 |
| Created | 2026-04-14 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~16k |
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MetaSearchMCP is Open-source metasearch backend, MCP server, and AI search API for LLM agents. Python FastAPI search gateway with Google search via SerpBase and Serper, multi-engine search aggregation, structured JSON. It is categorized as a MCP Server with 51 GitHub stars.
MetaSearchMCP is primarily written in Python. It covers topics such as agent-tools, ai-agents, google-search.
You can find installation instructions and usage details in the MetaSearchMCP GitHub repository at github.com/gefsikatsinelou/MetaSearchMCP. The project has 51 stars and 2 forks, indicating an active community.
MetaSearchMCP is released under the MIT license, making it free to use and modify according to the license terms.