INDIVIDUAL MCP TOOL

list_case_studies

List Solarly AI-readiness case studies for well-known SaaS/AI brands.

solarly.ainone authenticationAvailability not checked

Input schema

{}

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.

CONNECT WITH APPROVAL

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

Codex

~/.codex/config.toml

[mcp_servers.solarly-ai]
url = "https://solarly.ai/api/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "solarly-ai": {
      "type": "http",
      "url": "https://solarly.ai/api/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: solarly-ai
Remote MCP URL: https://solarly.ai/api/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": {
    "solarly-ai": {
      "url": "https://solarly.ai/api/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "solarly-ai": {
      "type": "http",
      "url": "https://solarly.ai/api/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

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

MCP Inspector

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

get_case_study — Get the full Solarly AI-readiness case study for a slug, including score, sub-scores, findings, llm.txt and ai-agents.json.