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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. Added
  2. Removed
  3. Changed9 schema fields changed
    • 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"
      +}
  4. Changed1 schema field changed
    • 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"
      +]
  5. Changed2 schema fields changed
    • 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"
      +}
  6. Added
  7. Removed
  8. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Discloses crucial behavior beyond minimal annotations: invoke runs MCPs without installing them, returns connect links for auth and checkout/top-up links for payment, writes require workspace owner/admin, and search/describe flag installation status. It also explains prompt library behavior (variables filled, shareable link without login). No contradiction with 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 single paragraph that covers a lot, but every sentence is informative and earns its place. It is not formatted with bullets or sections, which would improve scannability, yet the length is justified by tool complexity.

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 complex tool with 23 params and no output schema, the description covers the main flows, edge cases (auth, payment, admin requirements), and the prompt library. Some actions like 'resume' are not explained, and less common parameters lack semantics, but overall it is highly complete.

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?

The input schema has 23 parameters with 0% description coverage, so the description carries the burden. It does explain key parameters: action values (search/describe/invoke/install/prompt actions), tool_id for invoke, and prompt variables. However, many parameters (limit, immediate, tier_slug, cancel_reason, conversation, prompt_targets) remain unexplained, creating gaps for an agent.

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 catalog and runner, with a defined core flow (search → describe → invoke). It distinguishes itself from sibling tools like openfinance_* and authenticate by positioning itself as the in-platform catalog and execution layer.

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?

Explicitly provides decision guidance: 'Use install only to make an MCP PERMANENT in the active toolkit' vs 'prefer invoke for a single/occasional use'. It also states when to use list_tools, subscribe/cancel, report_bug, request_mcp, and the prompt library actions, giving the agent clear when-to/ when-not-to instructions.

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

A3.9/5.0
Disambiguation3/5

Most openfinance_* tools are clearly separated by resource and action, and the long descriptions help, but several pairs can trip up an agent: authenticate/connect both deal with login/connection state, openfinance_list_transactions and openfinance_list_transactions_by_item sound nearly identical, and marketplace internally exposes report_bug/list_tools functions that also exist as top-level tools. This is more than a single ambiguous edge.

Naming Consistency3/5

The 19 openfinance_* tools follow a clean get_/list_/update_ pattern and are easy to navigate, but the platform-level tools break the convention: authenticate, connect, marketplace, toolkit_info, report_bug, and show_version mix bare verbs, nouns, and noun-noun compounds. The pattern is not chaotic, but it is definitely mixed.

Tool Count3/5

25 tools is on the heavy end of the borderline range and is a large working set for an agent. The openfinance tools are individually justified and support batching, but the extra platform/marketplace tools add scope and some redundancy with report_bug and toolkit_info.

Completeness5/5

For a bank-data aggregation server, the surface is complete: connector discovery, linking/reconnecting/disconnecting, account lists and details, balances, transactions, categorization, credit-card bills, investments, loans, sync status, and provider health are all covered. There are no obvious dead ends in the main workflows.