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io.github.Fluenta-Team/fluenta

Registre officiel IA et agents

Score business ideas on six live market signals. Launch Readiness Score (LRS) for AI agents.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http fluenta 'https://fluenta.space/backend/api/v1/mcp' --header 'Authorization: <Bearer <Fluenta API key>. Create one under Settings > API keys at https://fluenta.space/app/settings/api-keys>'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "fluenta": {
            "type": "http",
            "url": "https://fluenta.space/backend/api/v1/mcp",
            "headers": {
                "Authorization": "<Bearer <Fluenta API key>. Create one under Settings > API keys at https://fluenta.space/app/settings/api-keys>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Fluenta MCP server
  2. Tools
  3. Authentication
  4. Claude Desktop
  5. Cursor
  6. Claude Code
  7. Example prompts
  8. Errors and limits
  9. Registry
  10. Licence

Fluenta MCP server

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.

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

ToolWhat it does
fluenta_idea_x-ray_sandboxInstant preview of an idea's Launch Readiness Score (LRS). No credits, no writes. Use it as the default first look.
fluenta_idea_x-rayThe 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_ideasSearch and compare the scored-ideas database.
fluenta_list_collections, fluenta_get_pipeline, fluenta_add_to_pipeline, fluenta_remove_from_pipelineManage your idea pipeline.
fluenta_list_analyses, fluenta_list_xray_runs, fluenta_download_reportHistory and reports.
fluenta_get_account, fluenta_get_usageAccount 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 in read, 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.

Questions fréquentes

Qu'est-ce que io.github.Fluenta-Team/fluenta ?

Score business ideas on six live market signals. Launch Readiness Score (LRS) for AI agents.

Comment installer io.github.Fluenta-Team/fluenta ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http fluenta 'https://fluenta.space/backend/api/v1/mcp' --header 'Authorization: <Bearer <Fluenta API key>. Create one under Settings > API keys at https://fluenta.space/app/settings/api-keys>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.Fluenta-Team/fluenta ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

io.github.Fluenta-Team/fluenta est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient io.github.Fluenta-Team/fluenta ?

Il est publié par Fluenta-Team. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.