Fluenta MCP server
MCP serverAI & modelsScore business ideas on six live market signals. Launch Readiness Score (LRS) for AI agents.
Available today. Use it from your connected AI after setup.
Needs your own account with this service. Credentials stay encrypted.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use Fluenta MCP server
From the project's README
As published by fluenta-team/fluenta-mcp in README.md.
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.
- Endpoint:
https://fluenta.space/backend/api/v1/mcp(Streamable HTTP, JSON-RPC 2.0) - Docs: fluenta.space/docs/api-and-mcp
- OpenAPI: openapi.json
- Website: fluenta.space
This repository holds the registry manifest (server.json) and the integration notes. The server itself is hosted by Fluenta; there is nothing to install or run locally.
Tools
| Tool | What it does |
|---|---|
fluenta_idea_x-ray_sandbox | Instant preview of an idea's Launch Readiness Score (LRS). No credits, no writes. Use it as the default first look. |
fluenta_idea_x-ray | The full X-Ray. Scores the idea on six live signals. 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 | History and reports. |
fluenta_get_account, fluenta_get_usage | Account state and usage. |
Authentication
Create an API key in your Fluenta account (Settings, API keys). Two scopes:
read: search ideas, read analyses, list collections, read pipeline and usage.read_write: everything inread, plus submit X-Ray analyses and add or remove pipeline bookmarks.
Send the key as Authorization: Bearer YOUR_FLUENTA_API_KEY.
Claude Desktop
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" }
}
}
}
Config location: ~/Library/Application Support/Claude/ on macOS, %APPDATA%\Claude\ on Windows.
Cursor
Same JSON in ~/.cursor/mcp.json, or use the one-click install button on the docs page.
Claude Code
claude mcp add --transport http fluenta https://fluenta.space/backend/api/v1/mcp --header "Authorization: Bearer YOUR_FLUENTA_API_KEY"
Example prompts
- "Run a sandbox X-Ray on: a subscription service for restaurant menu translation."
- "Search Fluenta for scored ideas about AI bookkeeping and compare the top three."
- "Add the best result to my pipeline."
Errors and limits
Standard HTTP codes. 401 is a bad or revoked key, 402 is out of credits or key limit exceeded, 403 is the wrong scope for the action, 429 is rate limited (respect Retry-After). The response envelope on failure is { "success": false, "error": { ... } }.
Registry
Published to the official MCP Registry as io.github.Fluenta-Team/fluenta from the server.json in this repository.
Licence
MIT for the contents of this repository. Use of the hosted service is governed by the Fluenta Terms of Service.
Signals
- Last commit
- Sep 2026
Advanced
- Delivery
- fluenta MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
io-github-fluenta-team-fluenta- Source
- github.com/fluenta-team/fluenta-mcp
- Hosted endpoint
https://fluenta.space/backend/api/v1/mcp