Carrefour MCP

marketplace

The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/ link that opens without login.

Input Schema

TableJSON Schema

Name	Required	Default
`limit`	No
`query`	No
`action`	No	search
`mcp_id`	No
`message`	No
`tool_id`	No
`arguments`	No	{}
`immediate`	No
`tier_slug`	No
`prompt_body`	No
`prompt_slug`	No
`prompt_tool`	No
`prompt_vars`	No	{}
`conversation`	No	[]
`prompt_title`	No
`request_name`	No
`cancel_reason`	No
`cancel_comment`	No
`prompt_targets`	No
`report_context`	No
`prompt_category`	No
`request_details`	No
`prompt_description`	No

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

AddedAug 30, 2026
RemovedAug 30, 2026
AddedAug 26, 2026
RemovedAug 26, 2026

Changed9 schema fields changedAug 10, 2026

changedInput schema / properties / action / enum

Previous value: -[
-  "search",
-  "describe",
-  "install",
-  "uninstall",
-  "subscribe",
-  "cancel",
-  "resume",
-  "report_bug",
-  "request_mcp",
-  "list_tools",
-  "invoke"
-]New value: +[
+  "search",
+  "describe",
+  "install",
+  "uninstall",
+  "subscribe",
+  "cancel",
+  "resume",
+  "report_bug",
+  "request_mcp",
+  "list_tools",
+  "invoke",
+  "search_prompts",
+  "get_prompt",
+  "publish_prompt"
+]

addedInput schema / properties / prompt_body

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / prompt_category

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / prompt_description

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / prompt_slug

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / prompt_targets

Added value: +{
+  "default": [],
+  "items": {
+    "enum": [
+      "claude",
+      "chatgpt",
+      "cursor",
+      "lovable"
+    ],
+    "type": "string"
+  },
+  "type": "array"
+}

addedInput schema / properties / prompt_title

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / prompt_tool

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / prompt_vars

Added value: +{
+  "default": "{}",
+  "type": "string"
+}

Changed1 schema field changedJul 29, 2026

changedInput schema / properties / action / enum

Previous value: -[
-  "search",
-  "describe",
-  "install",
-  "uninstall",
-  "subscribe",
-  "cancel",
-  "report_bug",
-  "request_mcp",
-  "list_tools",
-  "invoke"
-]New value: +[
+  "search",
+  "describe",
+  "install",
+  "uninstall",
+  "subscribe",
+  "cancel",
+  "resume",
+  "report_bug",
+  "request_mcp",
+  "list_tools",
+  "invoke"
+]

Changed2 schema fields changedJul 10, 2026

addedInput schema / properties / cancel_comment

Added value: +{
+  "default": "",
+  "type": "string"
+}

addedInput schema / properties / cancel_reason

Added value: +{
+  "enum": [
+    "too_expensive",
+    "missing_features",
+    "switched_service",
+    "unused",
+    "customer_service",
+    "too_complex",
+    "low_quality",
+    "other"
+  ],
+  "type": "string"
+}

AddedJun 30, 2026
RemovedJun 22, 2026
First observedJun 11, 2026

TDQS

A4.7/5.0

Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

It reveals critical behaviors beyond annotations: invoke works even when the MCP is not installed (one-off), returns a connect link if credentials are needed, returns a checkout/top-up link if paid and wallet is empty (and to retry), and that write operations require workspace owner/admin. The annotation readOnlyHint=false is consistent, and no contradiction exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single dense paragraph that is front-loaded with purpose and covers many critical details without filler. It is long but each sentence contributes unique information; however, breaking it into sections/bullets would improve readability and scanability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

It covers the core marketplace flows, admin requirements, auth/payment link behavior, and the separate prompt library. Yet it omits explanation of some actions like 'resume' and parameters like 'immediate' or 'tier_slug', which leaves gaps for an agent trying to invoke all possible actions correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 0% schema description coverage, the description compensates by explaining the central 'action' parameter and its values (search, describe, invoke, install, etc.), and mentions tool_id and arguments. However, many parameters like limit, immediate, tier_slug, cancel_reason, and prompt_targets are not explicitly defined, leaving some ambiguity for a 23-parameter tool.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool is the 'official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them', and outlines the core flow (search → describe → invoke). It differentiates from sibling tools like openfinance_* and report_bug by being the central catalog/execution hub.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit guidance on when to use each action: 'prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT', 'list_tools lists what is callable right now', and 'request_mcp asks us to build a NEW MCP when nothing fits'. This gives clear alternatives and contexts, far beyond a basic 'use this for X'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

All Carrefour MCP tools Inspect

Try in Browser

RayrunBuild, deploy, and operate MCP servers without becoming an infrastructure team.ray.runAd

Glama MCP Gateway

Add one secure layer between your agents and this server.

marketplace

Input Schema

Schema Changelog

TDQS

Glama MCP Gateway

Resources