About Antecedentes (Polícia Federal)
Antecedentes (Polícia Federal) is a hosted MCP server for checking a person's Federal Police criminal-record certificate using CPF and name. It is intended for people checking their own records and offers read-only, prepaid per-query access.
Key features
- 01Search by CPF and name
- 02Check Federal Police certificates
- 03Read-only lookup tool
- 04Prepaid, per-query billing
Use cases
- 01Check one's own Federal Police certificate
- 02Submit personal details from an MCP client
MCP support
It exposes the `antecedentes_policia_federal_consultar` tool to MCP clients and supports MCP over HTTP.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.mcp.ai/p_antecedentes_policia_federalclaude mcp add --transport http dir-antecedentes-policia-federal https://api.mcp.ai/p_antecedentes_policia_federal{"mcpServers":{"dir-antecedentes-policia-federal":{"type":"http","url":"https://api.mcp.ai/p_antecedentes_policia_federal"}}}Open in Cursor{"servers":{"dir-antecedentes-policia-federal":{"type":"http","url":"https://api.mcp.ai/p_antecedentes_policia_federal"}}}Open in VS Code{"mcpServers":{"dir-antecedentes-policia-federal":{"type":"http","url":"https://api.mcp.ai/p_antecedentes_policia_federal"}}}{"mcpServers":{"dir-antecedentes-policia-federal":{"serverUrl":"https://api.mcp.ai/p_antecedentes_policia_federal"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
7| Parameter | Type | Required | Description |
|---|---|---|---|
| Cpf | string | Yes | |
| Nome | string | Yes | |
| NomeMae | string | Yes | |
| NomePai | string | Yes | |
| completo | boolean | No | |
| DataNascimento | string | Yes |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.