SEFAZ RJ: Certidão Negativa de Débitos
RemoteAbout SEFAZ RJ: Certidão Negativa de Débitos
SEFAZ RJ: Certidão Negativa de Débitos is a hosted MCP server for querying debt clearance certificate information from an official source, for Claude, ChatGPT, and other AI clients. It is read-only and billed per query using prepaid credits.
Key features
- 01Official-source debt certificate lookup
- 02One read-only tool
- 03Connects over MCP over HTTP
- 04Prepaid, per-query billing
Use cases
- 01Look up debt certificate information in an AI client
- 02Add official-source lookup to a custom agent
MCP support
The server exposes `sefaz_rj_certidao_debitos_consultar` to MCP clients for official-source debt clearance certificate lookup. It 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_sefaz_rj_certidao_debitosclaude mcp add --transport http dir-sefaz-rj-certidao-debitos https://api.mcp.ai/p_sefaz_rj_certidao_debitos{"mcpServers":{"dir-sefaz-rj-certidao-debitos":{"type":"http","url":"https://api.mcp.ai/p_sefaz_rj_certidao_debitos"}}}Open in Cursor{"servers":{"dir-sefaz-rj-certidao-debitos":{"type":"http","url":"https://api.mcp.ai/p_sefaz_rj_certidao_debitos"}}}Open in VS Code{"mcpServers":{"dir-sefaz-rj-certidao-debitos":{"type":"http","url":"https://api.mcp.ai/p_sefaz_rj_certidao_debitos"}}}{"mcpServers":{"dir-sefaz-rj-certidao-debitos":{"serverUrl":"https://api.mcp.ai/p_sefaz_rj_certidao_debitos"}}}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 | No | |
| cnpj | string | No |
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.