Verging Labs MCP server
Provides AI agents with honest benchmark rankings (Agentic Memory Index and Agentic Search Index) for AI tools, plus graded checks and telemetry for x402 endpoints.
README
Verging Labs MCP server
Every AI tool claims to be the best. Verging Labs benchmarks them honestly.
This MCP (Model Context Protocol) server gives AI agents direct access to the published Verging Labs benchmarks: the Agentic Memory Index (agent memory tools) and the Agentic Search Index (web search and retrieval tools), plus pre-payment checks of x402 endpoints. Zero dependencies, no telemetry, no account.
Tools
| Tool | What it does | Cost |
|---|---|---|
fetch_memory_index |
Agentic Memory Index rankings: index score with confidence intervals, per-kind pass rates, cost per 1k successful answers, time to ready, retention decay | Free |
fetch_search_index |
Agentic Search Index rankings for web search and retrieval tools | Free |
check_x402_endpoint |
Full graded verdict (allow, warn, block, unknown) for an x402 endpoint before an agent pays it | Paid, x402: unpaid calls return the payment requirements |
verify_x402_trade |
Fast pre-trade telemetry facts for an x402 endpoint, no score | Paid, x402: same contract |
Use it
Claude Code:
claude mcp add verginglabs -- npx -y @verginglabs/mcp
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"verginglabs": {
"command": "npx",
"args": ["-y", "@verginglabs/mcp"]
}
}
}
Any other MCP client: run npx -y @verginglabs/mcp as a stdio server.
No install at all: the same four tools are served over Streamable HTTP at https://verginglabs.com/mcp (manifest at https://verginglabs.com/.well-known/mcp.json).
The data behind it
Rankings come from versioned index releases measured on simulated real work, never self-reported claims. Nothing is blended into one magic number and no provider pays for placement.
- Methodology: https://verginglabs.com/methodology
- Governance: https://verginglabs.com/governance
- Changelog of index releases: https://verginglabs.com/changelog
- API and agent onboarding: https://verginglabs.com/docs and https://verginglabs.com/llms.txt
License
MIT
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