Skip to main content
Glama

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?

The description reveals key behaviors beyond the annotations: invoke runs tools even when not installed, writes require owner/admin, and credential/payment failures return connect/checkout links. This adds substantial context to the readOnlyHint=false and openWorldHint=true annotations without 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 a dense paragraph covering many facets without wasted words. It is front-loaded with the core purpose, but could be structured with bullets or sections for easier scanning; however, every sentence contributes value.

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 23 parameters, the description covers the main flows (search/describe/invoke, install/remove, prompt library) and important edge cases like auth and payment. It omits details on some actions (e.g., resume, report_bug) and return formats, but overall it is quite complete for such a complex tool.

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?

With 0% schema description coverage, the description must explain parameters. It explains high-level actions and flow, but does not map specific parameter names (e.g., mcp_id, tool_id, prompt_title) to each action. The names are intuitive but not explicitly documented for all 23 params, leaving gaps for an agent to infer.

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' that catalogs and runs MCPs. It uses specific verbs like search, describe, install, invoke, and explains the core flow, distinguishing it from sibling tools like authenticate or connect.

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?

Explicit guidelines are provided: 'prefer invoke for a single/occasional use', 'Use install only to make an MCP PERMANENT', and describes when subscription actions apply. It also explains how to handle capability requests like 'find an MCP that does X', and contrasts with list_tools for immediate callables.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.9/5.0
Disambiguation4/5

Tools are mostly distinct, but authenticate and connect both deal with authentication/connection, and connect and toolkit_info both report status. The remaining tools (dap_pronaf_pj_consultar, marketplace, report_bug, show_version) have clear, non-overlapping purposes.

Naming Consistency2/5

Naming is inconsistent: verbs (authenticate, connect, report_bug, show_version) mix with nouns (marketplace, toolkit_info), and the domain tool uses a Portuguese phrase 'dap_pronaf_pj_consultar' that doesn't follow any clear pattern. No consistent convention is applied across the set.

Tool Count4/5

Seven tools is a reasonable count for a server that combines a domain-specific consultation function with platform utilities. It sits within the typical well-scoped range, though the scope is heavily weighted toward platform management rather than domain operations.

Completeness5/5

The domain purpose (DAP consultation by CNPJ) is fully covered by the single domain tool, and the marketplace tool provides access to a vast range of additional MCPs, making the overall surface quite complete. Platform management and feedback channels are also present, so no major gaps are evident.