← perceptron.solutions

INDIVIDUAL MCP TOOL

request_consultation

Captures a consultation request for Perceptron Solutions.

perceptron.solutionsnone authenticationAvailability not checked

LIVE ENDPOINT

https://perceptron.solutions/mcp

No auth detected

Connect to this endpoint to inspect the live schema for request_consultation and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

perceptron.solutions

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.perceptron-agent-ready-scanner]
url = "https://perceptron.solutions/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "perceptron-agent-ready-scanner": {
      "type": "http",
      "url": "https://perceptron.solutions/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: perceptron-agent-ready-scanner
Remote MCP URL: https://perceptron.solutions/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": {
    "perceptron-agent-ready-scanner": {
      "url": "https://perceptron.solutions/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "perceptron-agent-ready-scanner": {
      "type": "http",
      "url": "https://perceptron.solutions/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "perceptron-agent-ready-scanner",
  "transport": "streamable-http",
  "url": "https://perceptron.solutions/mcp"
}
MCP Inspector

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

Related tools

  • scan_site — Scan a website to see how ready it is for AI agents.
  • list_services — Lists Perceptron Solutions' AI consulting services, capabilities, and engagement options.
  • get_service_details — Detailed scope, ideal customer, outputs, and a real example for a specific Perceptron Solutions service.
  • recommend_service — Maps a business problem description to the most relevant Perceptron Solutions service(s).
  • get_scan_remediation — Explains how to fix a specific failed agent-readiness check.
  • generate_readiness_report — Runs a full agent-readiness scan on a URL and returns a polished report with prioritized fixes.