Agentic Commerce Tools
7 free tools: MCP health scans, AI-readiness scores, llms.txt generator, glossary, indexes.
| Endpoint | https://mcppulse.agiscorecard.com/mcp (streamable-http) |
|---|---|
| Registry version | 1.1.0 |
| Now | 7 tools · grade B (84) · pin ts_7f6e74574cb728179c347e63bbbfeac1 · protocol 2025-06-18 |
| First / last listed | 2026-10-27 06:18 UTC / 2026-10-27 06:18 UTC |
| Grade over time | 2026-10-27: B (84), 7 tools |
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Tools: check_mcp_server agent_readiness_scan get_public_mcp_index check_wellknown_discovery generate_llms_txt define_term get_visibility_index
check_mcp_server | Run a free, live health, conformance and latency scan of any remote MCP (Model Context Protocol) server over streamable HTTP. Performs a real JSON-RPC initialize + tools/list handshake and returns a 0-100 score with letter grade, per-check breakdown (protocol version, serverInfo identity, declared capabilities, tool count and description quality, handshake latency, HTTPS, auth posture) and a concr params: url* |
agent_readiness_scan | Score any website 0-100 on how ready it is for AI agents and AI shopping assistants (free, via AgentReady, agentready.agiscorecard.com). Checks whether AI crawlers are allowed in robots.txt, and whether the site serves llms.txt, agents.md, JSON-LD structured data (Product/Offer/Organization), descriptive meta tags and a sitemap — the signals ChatGPT, Claude, Perplexity and shopping agents use to f params: url* |
get_public_mcp_index | Return the Public MCP Server Index: a weekly-refreshed health, conformance and latency ranking of popular public (no-auth) remote MCP servers, scored 0-100 by the same live JSON-RPC handshake used by check_mcp_server. Includes per-server score, grade, latency, tool count, description quality and failing checks, plus aggregate stats (how many popular servers are auth-gated, average score and latenc params: none |
check_wellknown_discovery | Audit any website's agent-discovery surface in one call (free, via tools.agiscorecard.com). Checks the six files the agentic web uses to find and describe a business: /.well-known/ai-catalog.json (Agentic Resource Discovery manifest), /.well-known/mcp/server-card.json (MCP Server Card), /.well-known/agent-card.json (A2A Agent Card), /llms.txt, /agents.md, and robots.txt AI-crawler access (GPTBot, params: url* |
generate_llms_txt | Generate a complete, spec-correct llms.txt file from structured input — the generator counterpart to this server's checkers. You supply the site name, a one-paragraph summary and optional sections of curated links; the tool renders canonical llms.txt markdown: an H1 with the site name, a blockquote summary, then one H2 per section with '- [name](url): description' link bullets. The result is retur params: site_name*, summary*, sections |
define_term | Look up a plain-English definition of any agentic-commerce, MCP, AI-visibility or agent-payments term from the Agent Glossary (glossary.agiscorecard.com) — 25 terms including agentic commerce, ACP, UCP, MCP, MCP server, MCP tool, streamable HTTP, llms.txt, agents.md, GEO, AEO, citation share, AI Overviews, zero-click search, structured data, ChatGPT Shopping, x402, AP2, agentic payments, AI agent, params: term* |
get_visibility_index | Return the DTC AI Visibility Index: a recurring audit of well-known direct-to-consumer brands (Casper, Ridge, Away, Rothy's and ~35 more) scored 0-100 on AI-agent visibility — robots.txt AI-crawler access, llms.txt, agents.md, Product/Offer structured data, meta quality and sitemap — using the same checks as agent_readiness_scan. Includes per-brand score, grade and failing checks, plus aggregate s params: none |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.