Getnet

Getnet acquirer (Santander) via the Plataforma Digital API, read-only: consult a transaction by paym

Should I use this

Quality & Safety

A
Description quality
95%
Schema completeness
63%
Naming quality
91%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (1)

  • LOWTool 'connect' description lacks action verbin connect

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~1,944Tokens (tool definitions)
~845 BTypical response size
Moderate attention impact (1.52% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "getnet-mcp": {
      "url": "https://api.mcp.ai/p_getnet"
    }
  }
}

Remote endpoints

https://api.mcp.ai/p_getnetstreamable-http

What it can do

Tool inventory

Tools (11)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢getnet_list_accounts(account)

Lista os lojistas (seller_id) Getnet conectados a este install — id, label.

Input Schema

{
  "type": "object",
  "properties": {
    "account": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢getnet_get_payment(tipo, payment_id, account, payment_ids)

Consulta o status de uma transação por payment_id. `tipo` seleciona o meio (credit, debit, pix, boleto). Somente leitura, não cria nem altera cobrança. Bulk support: accepts payment_ids for batched execution.

Input Schema

{
  "type": "object",
  "properties": {
    "tipo": {
      "type": "string",
      "enum": [
        "credit",
        "debit",
        "pix",
        "boleto"
      ]
    },
    "payment_id": {
      "type": "string"
    },
    "account": {
      "type": "string"
    },
    "payment_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "tipo",
    "payment_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢getnet_get_card(card_id, account, card_ids)

Consulta um cartão tokenizado do cofre (vault) por card_id (não retorna o PAN). Bulk support: accepts card_ids for batched execution.

Input Schema

{
  "type": "object",
  "properties": {
    "card_id": {
      "type": "string"
    },
    "account": {
      "type": "string"
    },
    "card_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "card_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢getnet_list_customer_cards(customer_id, account, customer_ids)

Lista os cartões tokenizados de um cliente no cofre (vault). Bulk support: accepts customer_ids for batched execution.

Input Schema

{
  "type": "object",
  "properties": {
    "customer_id": {
      "type": "string"
    },
    "account": {
      "type": "string"
    },
    "customer_ids": {
      "type": "array",
      "items": {
        "type": "string"
      }
    }
  },
  "required": [
    "customer_id"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢getnet_list_customers(page, limit, account)

Lista clientes cadastrados. Paginado por `page`/`limit`.

Input Schema

{
  "type": "object",
  "properties": {
    "page": {
      "type": "number"
    },
    "limit": {
      "type": "number"
    },
    "account": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢show_version

Show the current MCP platform and adapter versions.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡report_bug(message, context, conversation)

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

Input Schema

{
  "type": "object",
  "properties": {
    "message": {
      "type": "string"
    },
    "context": {
      "default": "",
      "type": "string"
    },
    "conversation": {
      "default": "[]",
      "type": "string"
    }
  },
  "required": [
    "message"
  ],
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢connect

Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟢toolkit_info

Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Input Schema

{
  "type": "object",
  "properties": {},
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡marketplace(action, query, mcp_id, limit, tier_slug, ...)

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/<slug> link that opens without login.

Input Schema

{
  "type": "object",
  "properties": {
    "action": {
      "default": "search",
      "type": "string",
      "enum": [
        "search",
        "describe",
        "install",
        "uninstall",
        "subscribe",
        "cancel",
        "resume",
        "report_bug",
        "request_mcp",
        "list_tools",
        "invoke",
        "search_prompts",
        "get_prompt",
        "publish_prompt"
      ]
    },
    "query": {
      "default": "",
      "type": "string"
    },
    "mcp_id": {
      "default": "",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "type": "number"
    },
    "tier_slug": {
      "default": "",
      "type": "string"
    },
    "immediate": {
      "default": false,
      "type": "boolean"
    },
    "cancel_reason": {
      "type": "string",
      "enum": [
        "too_expensive",
        "missing_features",
        "switched_service",
        "unused",
        "customer_service",
        "too_complex",
        "low_quality",
        "other"
      ]
    },
    "cancel_comment": {
      "default": "",
      "type": "string"
    },
    "message": {
      "default": "",
      "type": "string"
    },
    "report_context": {
      "default": "",
      "type": "string"
    },
    "conversation": {
      "default": "[]",
      "type": "string"
    },
    "request_name": {
      "default": "",
      "type": "string"
    },
    "request_details": {
      "default": "",
      "type": "string"
    },
    "tool_id": {
      "default": "",
      "type": "string"
    },
    "arguments": {
      "default": "{}",
      "type": "string"
    },
    "prompt_slug": {
      "default": "",
      "type": "string"
    },
    "prompt_vars": {
      "default": "{}",
      "type": "string"
    },
    "prompt_category": {
      "default": "",
      "type": "string"
    },
    "prompt_tool": {
      "default": "",
      "type": "string"
    },
    "prompt_title": {
      "default": "",
      "type": "string"
    },
    "prompt_description": {
      "default": "",
      "type": "string"
    },
    "prompt_body": {
      "default": "",
      "type": "string"
    },
    "prompt_targets": {
      "default": [],
      "type": "array",
      "items": {
        "type": "string",
        "enum": [
          "claude",
          "chatgpt",
          "cursor",
          "lovable"
        ]
      }
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}
🟡authenticate(token)

MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.

Input Schema

{
  "type": "object",
  "properties": {
    "token": {
      "type": "string"
    }
  },
  "$schema": "http://json-schema.org/draft-07/schema#"
}

Community

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Evidence

Recent observations

verifiedversion not recorded11 tools
verifiedversion not recorded11 tools