Nível Socioeconômico e Renda Estimada
by mcp-dirio.github.mcp-dir/renda_estimada-mcpv0.1.0
Estimated socioeconomic level and income of a person from a CPF, based on income, occupation, and ed
- Remote endpoint
Uptime
Checked · every day
99.8%from 6 days of checks
Up without downtime on 5 of 6 days with data; down 15 minutes in all, on 1 November.
- No downtime
- Degraded
- Down over 5 minutes
- No data
- Not checked yet
Response time
Median 885 ms, slowest 5% 3399 ms for the handshake and the tool list, over 30 days.
How far each check got
- Reached the address 80.0%
- Completed the handshake 70.0%
- Listed its tools 70.0%
7 tools at the last answer.
Every day
| Day | Result | Checks | Median |
|---|---|---|---|
| 5 Nov (today) | No downtime | 1 | 1213 ms |
| 4 Nov | No downtime | 1of 1 | 997 ms |
| 3 Nov | No downtime | 1of 1 | 3399 ms |
| 2 Nov | No downtime | 1of 1 | 876 ms |
| 1 Nov | Down 15 minutes | 4of 1 | 682 ms |
| 31 Oct | No downtime | 2 | 829 ms |
A failure counts as down time only when a second check five minutes later fails too. How we check
Connect to the publisher's own endpoint
Paste into Settings › Connectors › Add custom connector:
https://api.mcp.ai/p_renda_estimada Run in a terminal:
claude mcp add --transport http renda_estimada-mcp https://api.mcp.ai/p_renda_estimada Add to ~/.cursor/mcp.json:
Add to ~/.config/devin/mcp_config.json:
Add to mcp.json (Program › Install › Edit mcp.json):
Add to config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows):
Add to ~/.bob/settings/mcp.json (global) or .bob/mcp.json (project):
Add to ~/.config/eca/config.json (global) or .eca/config.json in the project:
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
Add to ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace):
{
"mcpServers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to .vscode/mcp.json:
{
"servers": {
"renda_estimada-mcp": {
"type": "http",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to ~/.config/zed/settings.json:
{
"context_servers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):
{
"mcpServers": {
"renda_estimada-mcp": {
"type": "streamableHttp",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to ~/.continue/config.yaml:
mcpServers:
- name: "renda_estimada-mcp"
type: streamable-http
url: "https://api.mcp.ai/p_renda_estimada" Add to ~/.config/goose/config.yaml:
extensions:
"renda_estimada-mcp":
type: streamable_http
name: "renda_estimada-mcp"
enabled: true
uri: "https://api.mcp.ai/p_renda_estimada"
headers: {}
env_keys: []
envs: {}
timeout: 300 Add to ~/.gemini/settings.json:
{
"mcpServers": {
"renda_estimada-mcp": {
"httpUrl": "https://api.mcp.ai/p_renda_estimada"
}
}
} Run in a terminal:
codex mcp add renda_estimada-mcp --url https://api.mcp.ai/p_renda_estimada Add to ~/.llm/config.json:
Add to resources/assets/config/mcp.json in the installed app:
Add to ~/.boltai/mcp.json:
{
"mcpServers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} This server's endpoint speaks streamable HTTP, which this client's documentation does not list among its transports; use another client for it.
Add to ~/.config/agenvoy/mcp.json:
{
"servers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):
{
"amp.mcpServers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory:
{
"mcpServers": {
"renda_estimada-mcp": {
"type": "streamable",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} Add to Augment Settings Panel – MCP section – Import from JSON (VS Code extension):
{
"mcpServers": {
"renda_estimada-mcp": {
"type": "http",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
} For agents: the install prompt
Every step above as one Markdown text, for an assistant installing it for you.
# Install the MCP server Nível Socioeconômico e Renda Estimada (`io.github.mcp-dir/renda_estimada-mcp`)
Its page: https://plug.directory/servers/io.github.mcp-dir/renda_estimada-mcp
It runs on the publisher's servers; the client connects to its URL.
Use the section for the person's client.
## Claude Desktop
Paste into Settings › Connectors › Add custom connector:
```text
https://api.mcp.ai/p_renda_estimada
```
## Claude Code
Run in a terminal:
```sh
claude mcp add --transport http renda_estimada-mcp https://api.mcp.ai/p_renda_estimada
```
## Cursor, Devin Desktop, LM Studio, oterm, Bob Shell, ECA, Kiro, Kiro CLI
Merge into the place for the person's client:
- Cursor: ~/.cursor/mcp.json
- Devin Desktop: ~/.config/devin/mcp_config.json
- LM Studio: mcp.json (Program › Install › Edit mcp.json)
- oterm: config.json in oterm's data folder (~/Library/Application Support/oterm on macOS, ~/.local/share/oterm on Linux, %APPDATA%\oterm on Windows)
- Bob Shell: ~/.bob/settings/mcp.json (global) or .bob/mcp.json (project)
- ECA: ~/.config/eca/config.json (global) or .eca/config.json in the project
- Kiro: ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace)
- Kiro CLI: ~/.kiro/settings/mcp.json (user) or .kiro/settings/mcp.json (workspace)
```json
{
"mcpServers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## VS Code
Merge into .vscode/mcp.json:
```json
{
"servers": {
"renda_estimada-mcp": {
"type": "http",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## Zed
Merge into ~/.config/zed/settings.json:
```json
{
"context_servers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## Cline
Merge into cline_mcp_settings.json (MCP Servers › Configure › Configure MCP Servers):
```json
{
"mcpServers": {
"renda_estimada-mcp": {
"type": "streamableHttp",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## Continue
Merge into ~/.continue/config.yaml:
```yaml
mcpServers:
- name: "renda_estimada-mcp"
type: streamable-http
url: "https://api.mcp.ai/p_renda_estimada"
```
## Goose
Merge into ~/.config/goose/config.yaml:
```yaml
extensions:
"renda_estimada-mcp":
type: streamable_http
name: "renda_estimada-mcp"
enabled: true
uri: "https://api.mcp.ai/p_renda_estimada"
headers: {}
env_keys: []
envs: {}
timeout: 300
```
## Gemini CLI
Merge into ~/.gemini/settings.json:
```json
{
"mcpServers": {
"renda_estimada-mcp": {
"httpUrl": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## Codex
Run in a terminal:
```sh
codex mcp add renda_estimada-mcp --url https://api.mcp.ai/p_renda_estimada
```
## mcp-client-cli, TUUI, BoltAI
This server's endpoint speaks streamable HTTP, which this client's documentation does not list among its transports; use another client for it.
## Agenvoy
Merge into ~/.config/agenvoy/mcp.json:
```json
{
"servers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## Amp
Merge into ~/.config/amp/settings.json (user) or .amp/settings.json (workspace):
```json
{
"amp.mcpServers": {
"renda_estimada-mcp": {
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## AnythingLLM
Merge into anythingllm_mcp_servers.json in the AnythingLLM storage plugins directory:
```json
{
"mcpServers": {
"renda_estimada-mcp": {
"type": "streamable",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
## Augment Code
Merge into Augment Settings Panel – MCP section – Import from JSON (VS Code extension):
```json
{
"mcpServers": {
"renda_estimada-mcp": {
"type": "http",
"url": "https://api.mcp.ai/p_renda_estimada"
}
}
}
```
Then restart the client, or reload its MCP servers, and ask it to list the server's tools to confirm it started.
From the publisher's entry in the Official MCP Registry (the registry entry). Report a problem