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Marketing

inqrise.in

Submits education marketing consultation requests for schools and educational institutions.

1 endpoint1 known toolsFirst detected August 1, 2026Last detected August 1, 2026

ENDPOINT 1

https://inqrise.in/mcp

No auth detected

MCP server metadata

Name
inqrise
Version
1.0.0
Capabilities
tools

Known tools 1

request_consultation

Submit a free education marketing consultation request to Inqrise on behalf of a school, college, university, coaching institute, or EdTech brand.

Inferred read-only

CONNECT WITH APPROVAL

Client installation

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

Codex

~/.codex/config.toml

[mcp_servers.inqrise]
url = "https://inqrise.in/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "inqrise": {
      "type": "http",
      "url": "https://inqrise.in/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: inqrise
Remote MCP URL: https://inqrise.in/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": {
    "inqrise": {
      "url": "https://inqrise.in/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "inqrise": {
      "type": "http",
      "url": "https://inqrise.in/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "inqrise",
  "transport": "streamable-http",
  "url": "https://inqrise.in/mcp"
}
MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Trust Data Available

BuiltWith Trust API v2 evidence for inqrise.in was fetched 2026-08-03T17:38:23.180Z and is being refreshed.

Trust status Neutral

inqrise.in 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.