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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
NameRequiredDescriptionDefault
limitNo
queryNo
actionNosearch
mcp_idNo
messageNo
tool_idNo
argumentsNo{}
immediateNo
tier_slugNo
prompt_bodyNo
prompt_slugNo
prompt_toolNo
prompt_varsNo{}
conversationNo[]
prompt_titleNo
request_nameNo
cancel_reasonNo
cancel_commentNo
prompt_targetsNo
report_contextNo
prompt_categoryNo
request_detailsNo
prompt_descriptionNo

Schema Changelog

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

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations provide readOnlyHint=false and openWorldHint=true, but the description adds crucial behavior beyond that: invoke works even when the MCP is not installed, runs one-off without adding to the toolkit, returns connect links for credential needs, and returns checkout/top-up links for payment. It also states that writes require workspace owner/admin and that prompt library links open without login. This is substantial context not captured by annotations.

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 dense, long block but every sentence contributes useful information about the many actions and behaviors. It is front-loaded with the overall purpose, though it could be better structured with bullets or separate sections for the MCP catalog flow vs the prompt library. It is not overly verbose, but its length is at the edge of acceptable.

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?

For a tool with 14 actions and no output schema, the description covers most behavioral outcomes: describe returns a full profile, invoke returns connect/checkout links, publish_prompt returns a shareable link, and list_tools enumerates callable tools. Minor gaps remain (e.g., 'resume' is only listed without explanation, 'immediate' param is not described), but overall it is sufficiently complete for the complexity.

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

Parameters3/5

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

Schema description coverage is 0%, so the description must compensate. It explains the core parameters (action, mcp_id, tool_id, arguments) and some prompt-related params, but leaves many others undocumented (e.g., immediate, limit, prompt_targets, prompt_category, request_details). The description does not systematically map all 23 parameters, leaving gaps that the schema also does not fill.

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 identifies the tool as 'the official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them.' It goes on to enumerate the core actions (search, describe, invoke, install, etc.) and the prompt library, making the tool's multi-purpose nature explicit and distinct from siblings like authenticate or toolkit_info.

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 and how they relate: 'Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile ... → invoke RUNS that tool.' It also gives clear when-not guidance: 'Use install only to make an MCP PERMANENT in the active toolkit; prefer invoke for a single/occasional use.' This strongly differentiates the alternatives.

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

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TDQS

B3.3/5.0
Disambiguation4/5

The platform tools (authenticate, connect, marketplace, report_bug, show_version, toolkit_info) are each distinct in purpose, and offshore_leaks_consultar is clearly the only data-facing tool. However, the mix of platform utilities with a single domain-specific query could confuse an agent about the server's primary function.

Naming Consistency2/5

Tool names follow no consistent pattern: single-word nouns (connect, marketplace), verb_noun snake_case (offshore_leaks_consultar), and camelCase-like compounds (show_version, toolkit_info). This inconsistency makes the tool set feel haphazard.

Tool Count1/5

With 7 tools but only one actually related to Offshore Leaks, the count is highly inappropriate. The server appears to be a generic MCP platform masquerading as an offshore-leaks data source, so the tool count does not match the server's stated purpose.

Completeness1/5

The offshore-leaks domain is severely underserved: there is only a single query tool (consultar) and no capabilities for retrieving details, listing entities, or any other data operations. The platform tools are irrelevant to the domain, leaving the core functionality almost entirely missing.