What is the Fluenta remote MCP server?
The Fluenta remote MCP server is a hosted Model Context Protocol endpoint at https://fluenta.space/backend/api/v1/mcp, so AI assistants can connect to it without installing or running anything locally.

@Fluenta Tech LLC
Basic information
Transport
Streamable HTTP
Authentication
API Key
Category
Productivity
Author
Fluenta Tech LLC
Submitted by
Oleg Ivanov
Remote MCP server that scores business ideas on six live market signals. Run an Idea X-Ray from Claude, Cursor or any MCP client and get a Launch Readiness Score (LRS) across demand, pain, competition, monetisation, timing and distribution, plus search over thousands of already-scored ideas.
https://fluenta.space/backend/api/v1/mcpclaude mcp add fluenta --transport http https://fluenta.space/backend/api/v1/mcp --header "Authorization: Bearer YOUR_FLUENTA_API_KEY"Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
This server requires authentication. Tool discovery may require signing in or credentials from the provider.
Fetch the live tool list directly from this server's endpoint using the button above.
Fluenta is a remote MCP server (JSON-RPC 2.0 over HTTPS) that lets an AI agent validate a business idea against live market data instead of guessing. Every idea gets a Launch Readiness Score (LRS) built from six signals: demand, pain, competition, monetisation, timing and distribution.
fluenta_idea_x-ray_sandbox: instant preview of an idea's LRS. No credits, no writes. Use it as the default first look.fluenta_idea_x-ray: the full X-Ray. Returns xray_submitted while queued and xray_result when complete.fluenta_search_ideas, fluenta_get_idea, fluenta_compare_ideas: search and compare the scored-ideas database.fluenta_list_collections, fluenta_get_pipeline, fluenta_add_to_pipeline, fluenta_remove_from_pipeline: manage your idea pipeline.fluenta_list_analyses, fluenta_list_xray_runs, fluenta_download_report, fluenta_get_account, fluenta_get_usage: history, reports and account state.Create an API key in your Fluenta account (Settings, API keys). Two scopes: read for search and reads, read_write to run X-Rays and edit the pipeline. Send it as Authorization: Bearer YOUR_FLUENTA_API_KEY.
Add to claude_desktop_config.json and restart Claude:
{
"mcpServers": {
"fluenta": {
"type": "http",
"url": "https://fluenta.space/backend/api/v1/mcp",
"headers": { "Authorization": "Bearer YOUR_FLUENTA_API_KEY" }
}
}
}
Same JSON in ~/.cursor/mcp.json, or use the one-click install button on the docs page.
The Fluenta remote MCP server is a hosted Model Context Protocol endpoint at https://fluenta.space/backend/api/v1/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://fluenta.space/backend/api/v1/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Yes. Fluenta requires an API key — check the official documentation for how to obtain one, then include it in your client's configuration.
Fluenta exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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