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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. Added
  10. Removed
  11. 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"
      +}
  12. 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"
      +]
  13. 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"
      +}
  14. Added
  15. Removed
  16. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the sparse annotations (readOnlyHint=false, destructiveHint=false), the description discloses critical behavioral details: invoke runs tools even when not installed, may return connect or checkout links, and performs a one-off install. It also states that writes require workspace owner/admin and that invoke avoids bloating the tool list. These are significant behavioral insights 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 lengthy but each sentence introduces a distinct, valuable concept: the core flow, the key invoke behavior, install vs. invoke guidance, permission requirements, and the prompt library. It is logically structured but could benefit from bullet points or section breaks to improve scanability. Given the tool's complexity, the length is largely justified.

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

Completeness3/5

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

The description covers the tool's main purpose, key distinctions, and important caveats, making it usable for many common actions. However, with no output schema and undeclared parameter details, the description leaves gaps for less-common actions (e.g., resume, cancel with reasons, get_prompt with prompt_vars). It is reasonably complete for high-level usage but not fully self-contained for all 23 parameters.

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 description indirectly explains some parameters by describing the core flow (e.g., query for search, mcp_id for describe, tool_id and arguments for invoke), and mentions prompt-related parameters for get_prompt/publish_prompt. However, with 23 parameters and 0% schema description coverage, many parameters remain opaque, such as immediate, conversation, prompt_vars, prompt_targets, and report_context. The description only partially compensates for the lack of schema-level documentation.

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' and explains it as the catalog and execution mechanism for MCPs/tools. It specifies distinct actions (search, describe, invoke, install, subscribe, etc.) and differentiates from sibling tools by focusing on marketplace functionality rather than openfinance-specific operations. The core flow is explicitly laid out, making the tool's purpose unambiguous.

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 when-to-use guidance: 'Use install only to make an MCP PERMANENT in the active toolkit... prefer invoke for a single/occasional use.' It also explains when to use subscribe/cancel, report_bug, and request_mcp, and distinguishes in-app catalog functions from prompt library actions. This directly helps an agent choose between marketplace actions and alternative sibling tools.

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
Disambiguation4/5

The openfinance_* tools are mostly separated by resource (accounts, bills, loans, investments, connections), and the meta tools are distinct. The main ambiguities are openfinance_list_transactions vs openfinance_list_transactions_by_item, and openfinance_get_credit_card_bill vs openfinance_list_credit_card_bills, though their descriptions do clarify different intents.

Naming Consistency3/5

The openfinance_* family follows a consistent verb_noun pattern, and the generic platform tools use bare lowercase names like connect, authenticate, and marketplace. The mixed prefixes and the occasional singular/plural variation (get_credit_card_bill vs list_credit_card_bills) make the overall namespace readable but not fully uniform.

Tool Count3/5

25 tools is at the heavy end and combines two distinct areas: platform/meta tooling and a deep Open Finance adapter. Most openfinance tools are justifed by real endpoints, but the count feels bulky for an agent to browse, and the marketplace tool packs an unusually large number of capabilities into a single entry.

Completeness4/5

The Open Finance surface is unusually complete: accounts, balances, transactions, credit-card bills, loans, investments, connection status, force sync, provider status, category correction, and disconnect are all present. The platform side is also broad via marketplace and toolkit_info, with only minor granularity gaps such as no dedicated get-single-transaction tool or separate marketplace sub-tools.