MCP Server for Z.AI - A Model Context Protocol server that provides AI capabilities
Agentic Commerce Tools is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
7 free tools: MCP health scans, AI-readiness scores, llms.txt generator, glossary, indexes.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http agentic-commerce-tools-mcp https://mcppulse.agiscorecard.com/mcp
# 2 — ask your agent for something these tools do
# check_mcp_server, agent_readiness_scan, get_public_mcp_index and 4 more
Agentic Commerce Tools costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http agentic-commerce-tools-mcp https://mcppulse.agiscorecard.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
7 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | The MCP endpoint URL to scan, e.g. https://example.com/mcp. Must be a public streamable-HTTP MCP endpoint; https:// is assumed when the scheme is omitted. Private/localhost addresses are rejected. |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | The website URL to scan, e.g. https://example-store.com. https:// is assumed when the scheme is omitted. |
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
No parameter schema on file.
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,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | The website URL (or bare domain) to audit, e.g. https://example-store.com or example-store.com. https:// is assumed when the scheme is omitted; only the origin is checked. |
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
| Parameter | Type | Required | Notes |
|---|---|---|---|
| site_name | string | yes | The site or business name — becomes the H1 title, e.g. 'Acme Outdoor Gear'. |
| summary | string | yes | One-paragraph plain-text summary of what the site is and offers — becomes the blockquote directly under the H1. Keep it factual; agents quote it. |
| sections | array | no | Optional list of sections, each rendered as an H2 heading followed by link bullets. Typical sections: 'Key pages', 'Products', 'Docs', 'Policies'. |
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,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| term | string | yes | The term to define, by name or slug — e.g. 'agentic commerce', 'ACP', 'llms.txt', 'streamable-http', 'x402'. Case-insensitive; spaces, hyphens and underscores are interchangeable. |
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
No parameter schema on file.
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Agentic Commerce Tools or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.1.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Agentic Commerce Tools can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.