Feedback1 MCP MCP server

The Feedback1 MCP server enables AI assistants to integrate directly with the Feedback1 platform. It allows agents to search for user feedback and roadmap features, retrieve CRM account and contact details, and access analytics such as feedback statistics and top-voted items. This facilitates seamless product management workflows by pulling live context from the Feedback1 workspace into AI tools like Cursor and Claude.

Endpoint and access

OAuth sign-in: the first time you connect, your client opens the vendor's own authorization prompt in a browser.

OAuth sign-inEndpoint checked 2026-10-05Operated by Feedback1

MCP endpoint (Streamable HTTP)

https://app.feedback1.ai/api/mcp

Vendor documentation

What you can do with it

Search feedback by keyword or semantic meaning
Find and list roadmap features
Look up CRM accounts and contacts
Get feedback statistics and top-voted features

Connect from your client

Each snippet registers the same endpoint; pick the client you use.

This server is operated by the named third party. Listing and endpoint checks are not an endorsement or a security audit. Review the operator's permissions, terms, and data handling before connecting. How listings are checked and corrected.

Claude Code

Run this once in a terminal. It registers a Streamable HTTP server. Use --scope project to write .mcp.json for the repo.

Claude Code configuration

claude mcp add --transport http feedback1-mcp https://app.feedback1.ai/api/mcp

Codex

Run this once. Codex stores MCP servers in ~/.codex/config.toml (or .codex/config.toml in a trusted project).

Codex configuration

codex mcp add feedback1-mcp --url https://app.feedback1.ai/api/mcp

Cursor

Merge this server into .cursor/mcp.json in your project, then enable feedback1-mcp in your MCP settings.

Cursor configuration

{
  "mcpServers": {
    "feedback1-mcp": {
      "url": "https://app.feedback1.ai/api/mcp"
    }
  }
}

Cline

Merge this into cline_mcp_settings.json (Cline → MCP Servers → Configure). The type must be streamableHttp for a remote HTTP server.

Cline configuration

{
  "mcpServers": {
    "feedback1-mcp": {
      "type": "streamableHttp",
      "url": "https://app.feedback1.ai/api/mcp",
      "disabled": false
    }
  }
}

VS Code

Merge this server into .vscode/mcp.json. Use MCP: List Servers to start feedback1-mcp and inspect its tools.

VS Code configuration

{
  "servers": {
    "feedback1-mcp": {
      "type": "http",
      "url": "https://app.feedback1.ai/api/mcp"
    }
  }
}

Gemini CLI

Run this once. It writes .gemini/settings.json in the current project; pass --scope user for ~/.gemini/settings.json.

Gemini CLI configuration

gemini mcp add --transport http feedback1-mcp https://app.feedback1.ai/api/mcp

Claude Desktop

Merge this into claude_desktop_config.json (macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\), then restart Claude Desktop.

Claude Desktop configuration

{
  "mcpServers": {
    "feedback1-mcp": {
      "url": "https://app.feedback1.ai/api/mcp"
    }
  }
}

Windsurf

Merge this into ~/.codeium/windsurf/mcp_config.json, then refresh MCP in Cascade. Windsurf remote servers use serverUrl, not url.

Windsurf configuration

{
  "mcpServers": {
    "feedback1-mcp": {
      "serverUrl": "https://app.feedback1.ai/api/mcp"
    }
  }
}

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