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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "agentic-commerce-tools": {
      "type": "http",
      "url": "https://mcppulse.agiscorecard.com/mcp"
    }
  }
}

claude mcp add --transport http agentic-commerce-tools https://mcppulse.agiscorecard.com/mcp

[mcp_servers.agentic-commerce-tools]
url = "https://mcppulse.agiscorecard.com/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "agentic-commerce-tools": {
      "type": "remote",
      "url": "https://mcppulse.agiscorecard.com/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "agentic-commerce-tools": {
      "type": "http",
      "url": "https://mcppulse.agiscorecard.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=agentic-commerce-tools&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwcHVsc2UuYWdpc2NvcmVjYXJkLmNvbS9tY3AifQ%3D%3D"
}

{
  "servers": {
    "agentic-commerce-tools": {
      "type": "http",
      "url": "https://mcppulse.agiscorecard.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "agentic-commerce-tools": {
      "httpUrl": "https://mcppulse.agiscorecard.com/mcp"
    }
  }
}

extensions:
  "agentic-commerce-tools":
    enabled: true
    name: "agentic-commerce-tools"
    type: streamable_http
    uri: "https://mcppulse.agiscorecard.com/mcp"
    timeout: 300

Quality 76 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-06-18; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene64 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: get_public_mcp_index (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); check_wellknown_discovery (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); generate_llms_txt (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
pass
tools.token_costabout 2,283 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changesno tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

7 tools, about 2,283 tokens to load them all · tool set 81816f81a758 · checked 2026-10-20 12:45 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 94 / 100

provenance90

liveness99

freshness85

hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-97% ~updated-60d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://mcppulse.agiscorecard.com/mcp` streamable-http	none	yes	97%	203 ms	2025-06-18	2026-10-20

Tools (7)

`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 find, understand and recommend a business. Returns itemized checks with pass/fail status and a concrete fix for each gap. Use it to audit a merchant site, compare competitors, or generate an agentic-SEO to-do list. Free tier: please self-limit to a few calls per minute. High-volume / production use: the identical scan is available pay-per-call via the x402 payment protocol at https://x402.agiscorecard.com/api/scan ($0.005 per call in USDC on Base — no account, no API key).
`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 concrete fix for every failed check. Use it before recommending, installing or listing an MCP server, or to debug why an agent platform rejects one. Auth-protected servers are detected and scored on reachable surface. Free tier: please self-limit to a few calls per minute. High-volume / production use: the identical scan is available pay-per-call via the x402 payment protocol at https://x402.agiscorecard.com/api/mcp-check ($0.005 per call in USDC on Base — no account, no API key).
`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, OAI-SearchBot, PerplexityBot, ClaudeBot & co.). Returns a 0-100 discoverability score, per-file pass/warn/fail status with JSON validity checks, and a free generator link for every missing file. Use it to audit a merchant or SaaS site before agent integration, compare competitors' agent readiness, or produce a fix list. Complements agent_readiness_scan (page-level signals) with the well-known discovery layer. Free tier: please self-limit to a few calls per minute. High-volume / production agent use: pay-per-call APIs via the x402 payment protocol at https://x402.agiscorecard.com ($0.005 per call in USDC on Base — no account, no API key).
`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, RAG, function calling, A2A and prompt injection. Returns a one-paragraph citable definition plus the canonical glossary URL to link as the source. Matching is forgiving: case-insensitive and hyphen/space tolerant ('Streamable HTTP', 'streamable-http' and 'streamable_http' all resolve); an unknown term returns the full list of available terms. Answered inline from an embedded snapshot — no network round-trip, instant, free, unlimited within fair use. More agent tooling: free scanners on this server, pay-per-call APIs (x402 protocol, $0.005/call, USDC on Base, no account) at https://x402.agiscorecard.com.
`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 returned as ready-to-publish text (serve it at https://yourdomain.com/llms.txt as plain text) plus structured metadata (byte size, section/link counts). llms.txt is the curated site map AI systems read first — Shopify serves one natively, and AI-readiness scanners (including agent_readiness_scan and check_wellknown_discovery on this server) check for it. Pure function: no network calls, deterministic, free, unlimited within fair use. Related free web tools and pay-per-call agent APIs (x402 protocol, $0.005/call, USDC on Base, no account) at https://x402.agiscorecard.com.
`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 latency). Use it to pick a reliable public MCP server for a task, cite ecosystem statistics, or benchmark a server against the field. Free, no parameters. Curated by MCP Pulse (mcppulse.agiscorecard.com); on-demand scans of arbitrary servers at scale are available pay-per-call via x402 at https://x402.agiscorecard.com.
`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 stats (brand count, average score, last update date). Use it to benchmark a merchant against named DTC brands, cite ecosystem statistics ('X% of leading DTC brands still lack Product schema'), or find outreach targets with visibility gaps. Published by SellToAgents (selltoagents.agiscorecard.com), fetched live server-side. Free, no parameters, no auth. To score an arbitrary site on the same rubric call agent_readiness_scan (free) or the pay-per-call x402 API at https://x402.agiscorecard.com ($0.005 per call, USDC on Base, no account, no API key) for high-volume agent pipelines.

Schemas: list_tools.

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Official server.json

{
  "name": "io.github.f-tiger/agentic-commerce-tools",
  "title": "Agentic Commerce Tools",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcppulse.agiscorecard.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/f-tiger/sellSomething",
    "source": "github",
    "subfolder": "sites/mcppulse"
  },
  "websiteUrl": "https://mcppulse.agiscorecard.com",
  "description": "7 free tools: MCP health scans, AI-readiness scores, llms.txt generator, glossary, indexes."
}