Documentation

Installing Feluda with Cherry Studio

Cherry Studio supports local MCP servers. Connect Feluda — a modular context processor — to unlock structured memory, vaults, API chaining, tool calling, and more.

Download Feluda

Choose your platform and get started locally.

Windows Linux

Step-by-step Instructions

Step 1: Download the Feluda Binary

Feluda is a portable executable that acts as an MCP server. Download it from:

https://feluda.ai/download

  • Windows: feluda.exe
  • macOS/Linux: feluda (then run chmod +x feluda)

Step 2: Open MCP Settings in Cherry Studio

Launch Cherry Studio, then navigate to Settings → MCP Servers.

Step 3: Add Local MCP Server

Click the 安装 (Install) button or +Local, depending on your interface language.

Cherry Studio MCP Servers page showing Add Local

Step 1–3: Locate MCP Servers and add a new local server.

Step 4: Set Executable Path

Browse to the downloaded feluda or feluda.exe and confirm.

Selecting Feluda executable path in Cherry Studio

Step 4–5: Set the file path and Save / Confirm.

Step 5: Optional — Place Feluda in Default Directory

To enable auto-detection, move the Feluda binary into one of these folders:

  • Windows: C:\Users\<yourname>\.cherrystudio\bin
  • macOS/Linux: ~/.cherrystudio/bin
Feluda is now connected as a local MCP server inside Cherry Studio.

Step 6: Add API Keys (Optional)

  1. Double-click the feluda binary to open the Vault UI.
  2. Add any API keys (OpenAI, NewsAPI, Shodan, etc.).
  3. Keys are used automatically by compatible genes/tools.

You're Ready

Cherry Studio is now fully connected to Feluda. Start using modular toolchains, context-aware prompts, and structured memory — all powered by your local assistant server.