General Tools

organikpi.com

This MCP server enables full-text search and retrieval of website content, including services listing and markdown pages.

1 endpoint3 known toolsFirst detected July 25, 2026Last detected August 29, 2026

ENDPOINT 1

https://organikpi.com/.well-known/mcp

No auth detected

Capabilities

tools

Full-text search across services, case studies, blog posts, and tools.

Inferred read-only

Returns the full markdown content of any page on the site.

Inferred read-only

Returns all available consulting services with tagline, price range, and URL.

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.organikpi-mcp]
url = "https://organikpi.com/.well-known/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "organikpi-mcp": {
      "type": "http",
      "url": "https://organikpi.com/.well-known/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: organikpi-mcp
Remote MCP URL: https://organikpi.com/.well-known/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": {
    "organikpi-mcp": {
      "url": "https://organikpi.com/.well-known/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "organikpi-mcp": {
      "type": "http",
      "url": "https://organikpi.com/.well-known/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "organikpi-mcp",
  "transport": "streamable-http",
  "url": "https://organikpi.com/.well-known/mcp"
}

MCP Inspector

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

TRUST AND VERIFICATION EVIDENCE

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

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