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

A4.3/5.0
Behavior5/5

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

The description goes beyond the annotations by disclosing that invoke works even when the MCP is not installed, runs one-off without bloating the toolkit, and may return connect or checkout links requiring user action. It also states that writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin, adding important context not present in the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is informative but overly long, packing many details into a single paragraph. It front-loads the core purpose well, but the extensive enumeration of actions and edge cases could be more concise and better structured with separation or bullet points. Every sentence adds value, but the wall-of-text format hurts readability.

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?

Despite the high complexity (23 params, no output schema, many actions), the description covers a wide range of behavioral contexts: core flow, permissions, missing credential/payment scenarios, installed flags, and the prompt library. It is missing some parameter-level details and structured return format information, but the overall narrative provides substantial context for an agent to understand the tool's capabilities.

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

Parameters2/5

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 needed to compensate by explaining parameters, but it only narratively references action values like 'search' and 'invoke' without systematically defining parameters like limit, query, mcp_id, tool_id, arguments, immediate, tier_slug, prompt_vars, etc. This leaves significant ambiguity for an agent trying to construct valid calls.

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 serves as both the catalog of MCPs/tools and the way to run them. It explicitly covers capability requests and distinguishes the marketplace from other tools by detailing its core flow (search, describe, invoke) and listing specific actions like install, subscribe, and prompt library functions.

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 and when-not-to-use guidance, such as 'use install only to make an MCP PERMANENT' and 'prefer invoke for a single/occasional use.' It also explains when to use search/describe, list_tools, subscribe/cancel, report_bug, request_mcp, and the prompt library actions, giving clear alternatives within the same tool.

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

A3.7/5.0
Disambiguation4/5

Most tools have distinct purposes, but connect and toolkit_info both report connection status, and marketplace's list_tools could be confused with toolkit_info's list of installed MCPs. Descriptions are detailed enough to disambiguate in most cases.

Naming Consistency2/5

Tool names follow no consistent pattern: imperative verbs (authenticate, connect), a lone noun (marketplace), verb_noun compounds (report_bug, show_version), and a Portuguese-specific name (seguro_defeso_consultar). Naming style is highly inconsistent.

Tool Count4/5

Seven tools is within the ideal 3-15 range, and each tool earns its place for platform management. The mix is unusual (infrastructure + marketplace + one domain query), but the count itself is not excessive.

Completeness2/5

For a server named 'Seguro Defeso', only one domain-specific tool exists (seguro_defeso_consultar), leaving significant gaps in benefit-related operations. The platform tools are complete, but the domain coverage is minimal and could cause agent failures for anything beyond basic consultation.