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MetaSearchMCP

Connector Productivity Usable

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 output, provider fallback, deduplication, and SearXNG alternative architecture for agent workflows.

45 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Reduces latency and cost of LLM-powered search by aggregating multiple engines with fallback logic, enabling reliable real-time information retrieval for agent workflows without vendor lock-in.

Engineering teams building AI agents requiring multi-source search with fault tolerance and structured output formatting.

Claude Code Claude Cowork Claude Chat

https://github.com/gefsikatsinelou/MetaSearchMCP

By gefsikatsinelou

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add MetaSearchMCP -- npx -y MetaSearchMCP

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars45Last updated2026-05-19LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-05-20 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Growing

Discussed on Reddit

5 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 45 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 45 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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