General Tools

jobvetta.com

Searches and retrieves job listings in India, providing detailed job information including qualifications and salary.

1 endpoint2 known toolsFirst detected August 6, 2026Last detected September 6, 2026

ENDPOINT 1

https://api.jobvetta.com/mcp

No auth detected

Capabilities

tools

Search live job openings across India, checked at official employer sources.

Inferred read-only

Full details for one job (description, qualifications, salary, metadata) by job_id from search_jobs.

Inferred read-only

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.jobvetta]
url = "https://api.jobvetta.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "jobvetta": {
      "type": "http",
      "url": "https://api.jobvetta.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: jobvetta
Remote MCP URL: https://api.jobvetta.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "jobvetta": {
      "url": "https://api.jobvetta.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "jobvetta": {
      "type": "http",
      "url": "https://api.jobvetta.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "jobvetta",
  "transport": "streamable-http",
  "url": "https://api.jobvetta.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

BuiltWith Trust API v2 evidence for jobvetta.com was fetched 2026-08-23T18:00:40.023Z.

Trust status Neutral

jobvetta.com is assessed as Neutral: No suspicious signals found, but no strong positive signal either

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.