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Fluenta MCP Server已验证已精选

@Fluenta Tech LLC

基本信息

传输方式

Streamable HTTP

认证方式

API Key

分类

生产力

作者

Fluenta Tech LLC

提交者

Oleg Ivanov

关于 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.

#business-ideas#startup-validation#market-research#idea-validation#founders#remote-mcp

连接信息

https://fluenta.space/backend/api/v1/mcp

接入方式

claude mcp add fluenta --transport http https://fluenta.space/backend/api/v1/mcp --header "Authorization: Bearer YOUR_FLUENTA_API_KEY"

Fluenta MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

此服务需要认证,获取工具列表可能需要登录或使用服务提供方的凭据。

点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

What is Fluenta

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.

Tools

  • 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.

Authentication

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.

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" }
    }
  }
}

Cursor

Same JSON in ~/.cursor/mcp.json, or use the one-click install button on the docs page.

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."

Links

常见问题

1

Fluenta 远程 MCP 服务器是什么?

Fluenta 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://fluenta.space/backend/api/v1/mcp,AI 助手无需在本地安装或运行任何东西即可连接。

2

怎么连接 Fluenta 的 MCP 服务器?

把端点 https://fluenta.space/backend/api/v1/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。

3

Fluenta 的 MCP 服务器需要认证吗?

需要。Fluenta 需要一个 API key——具体获取方式请查看官方文档,拿到后填进客户端配置里即可。

4

Fluenta 的 MCP 服务器用的是哪种传输方式?

Fluenta 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。

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