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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. Added
  4. Removed
  5. Added
  6. Removed
  7. Added
  8. Removed
  9. 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"
      +}
  10. 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"
      +]
  11. 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"
      +}
  12. Added
  13. Removed
  14. First observed

TDQS

A4.7/5.0
Behavior5/5

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

The description goes well beyond annotations by disclosing key behavioral traits: invoke works even when the MCP is not installed and runs one-off without bloating the tool list; writes require workspace owner/admin; invoke may return a connect link or checkout link, after which the user acts and the agent retries. It also explains the prompt library's behavior (search_prompts, get_prompt, publish_prompt with shareable links). These details add significant context that annotations (readOnlyHint: false, openWorldHint: true) do not provide, and there is no contradiction.

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 long but information-dense, with every sentence adding valuable context—especially the KEY distinction between invoke and install, the ownership requirements, and the prompt library overview. It is front-loaded with the core purpose and then expands into action-specific guidance. While it could benefit from bullet points or shorter paragraphs, the density is justified given the tool's complexity and the breadth of actions it supports.

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?

Given the tool's complexity (14 actions, 23 params, no output schema), the description covers the essential workflows: discovery, description, invocation, installation, billing, bug reporting, request_mcp, and prompt library use. It explains critical edge cases (not-installed MCPs, credential/payment links, admin permissions). However, it omits some actions (e.g., 'resume') and does not describe the 'limit' or 'immediate' parameters, leaving the agent to infer those from the schema. Overall, it is substantially complete but not exhaustive.

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 23 parameters and 0% schema description coverage, the description compensates by explaining the semantics of the main parameters indirectly: 'action' is described through the core flow; 'query' is implied via 'capability requests'; 'tool_id' is mentioned in 'pick the right tool_id'; 'mcp_id' is referenced in 'describe returns one MCP's full profile'; 'arguments' is implied by 'invoke RUNS that tool'. The prompt library section explains the purpose of prompt-related parameters (prompt_vars, prompt_slug, prompt_body, etc.) without naming them. However, it does not cover all parameters (e.g., immediate, tier_slug, cancel_reason, conversation), so the compensation is incomplete.

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, serving as both a catalog and execution layer for MCPs/tools. It specifies the core actions (search, describe, invoke) and distinguishes itself from siblings by covering the marketplace domain rather than a specific financial service or utility. The verb 'marketplace' is effectively a noun, but the description immediately defines it as 'the in-platform catalog of every MCP/tool, AND the way to run them', making the purpose unmistakable.

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 usage guidance, outlining the core flow: 'action=search discovers MCPs by intent → describe returns one MCP's full profile → invoke RUNS that tool'. It also states when to prefer invoke over install ('Use install only to make an MCP PERMANENT in the active toolkit... prefer invoke for a single/occasional use') and when to use other actions (subscribe/cancel, report_bug, request_mcp). It cautions about credential/payment prerequisites and retry logic, giving the agent clear decision rules.

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

A3.7/5.0
Disambiguation4/5

Most openfinance_* tools target clearly distinct resources (accounts, transactions, bills, loans, investments, connections, categories). Minor overlap exists—list_accounts returns balances and list_transactions_by_item consolidates what list_transactions provides—but the detailed descriptions distinguish them adequately.

Naming Consistency4/5

The openfinance_* tools follow a consistent verb_noun pattern (get_*, list_*, update_*, force_sync, search_*) with one slight deviation: openfinance_provider_status omits a verb. The non-openfinance platform tools (authenticate, connect, marketplace, report_bug, etc.) break the prefix pattern, creating two naming conventions within the same server.

Tool Count3/5

25 tools sits at the upper boundary of acceptable for a comprehensive Open Finance banking adapter, covering accounts, transactions, credit cards, loans, investments, and connection management. However, including meta-platform tools like marketplace and toolkit_info inflates the count and makes the set feel heavier than a pure banking tool surface.

Completeness4/5

The tool surface covers the core Open Finance lifecycle well: list/get accounts, balances, transactions, credit card bills, loans, investments, connection management, category correction, and provider status. Gaps include no direct new-bank connection tool (only URLs) and no investment detail endpoint beyond transactions, but agents can work around these.