# SEFAZ DF: IPTU (Emissão Guia)

> SEFAZ DF: IPTU (Emissão Guia) — mcp-dir-sefaz-df-iptu-mcp. Use this tool when you need to query official property tax information or issue tax payment guides for Distrito Federal, Brazil. It solves problems related to accessing and paying property taxes by providing a direct interface for querying SEFAZ DF IPTU data and generating payment guides. This tool is ideal for users who require efficient and convenient tax payment processing, accepting queries as input and returning relevant tax information and payment guides as output.

Canonical page: https://skillsregistry.net/skills/mcp-dir-sefaz-df-iptu-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mcp-dir-sefaz-df-iptu-mcp

## Description

Enables users to query official SEFAZ DF IPTU (Distrito Federal property tax) information and issue tax payment guides directly from AI assistants like Claude and ChatGPT. A read-only MCP server with one tool, hosted for any MCP-enabled client, using a prepaid, pay-per-query model.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rqmclgzov9)
- **Repository:** <https://github.com/mcp-dir/sefaz_df_iptu-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mcp-dir-sefaz-df-iptu-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-sefaz-df-iptu-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mcp-dir-sefaz-df-iptu-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt