General Tools
citedlaunch.com
Search and retrieve product information from the CitedLaunch SaaS catalog, and submit new products.
ENDPOINT 1
https://citedlaunch.com/api/mcp
MCP server metadata
- Name
- citedlaunch
- Version
- 1.0.0
CitedLaunch is a human-verified SaaS directory built for AI-era discovery. Use search_products / get_product to find tools (no auth). Use submit_product to draft a listing from a URL — the first call prompts a one-time browser sign-in to connect the user's account; a human then reviews and publishes from the returned draft link.
Known tools 3
get_productGet the full listing for a product by slug: description, pricing, category, links, citation stats.
Inferred read-onlyCONNECT 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.citedlaunch]
url = "https://citedlaunch.com/api/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"citedlaunch": {
"type": "http",
"url": "https://citedlaunch.com/api/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: citedlaunch
Remote MCP URL: https://citedlaunch.com/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": {
"citedlaunch": {
"url": "https://citedlaunch.com/api/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"citedlaunch": {
"type": "http",
"url": "https://citedlaunch.com/api/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "citedlaunch",
"transport": "streamable-http",
"url": "https://citedlaunch.com/api/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Loading Trust v2 evidence…
Checking the associated registrable domain. The BuiltWith key remains server-side.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.