Jilebi

<p align="center"> <img src="website/static/img/jilebi_logo.svg" alt="Jilebi Logo" width="120" height="120" /> </p>

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<p align="center"> <a href="https://jilebi.ai">https://jilebi.ai</a> </p>

A powerful, plugin-based MCP (Model Context Protocol) server that extends AI assistants with custom tools, resources, and prompts.

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Table of Contents

• Overview
• Download
• Installation
  • Windows
  • Linux
  • macOS
• Host Configuration
• Plugin System
• Creating Plugins
• Logging and Debugging
• Links

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Overview

Jilebi is an MCP server implementation that enables AI assistants to interact with external systems through a modular plugin architecture. It provides a standardized way to expose tools, resources, and prompts to language models while maintaining security through a granular permission system.

Key Features:

• Cross-platform support (Windows, Linux, macOS)
• Plugin-based extensibility
• Secure permission model for file system and network access
• Persistent state management for plugins
• Compatible with major AI development environments

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Quick Install

The fastest way to install Jilebi is using our installation scripts:

Linux & macOS

Using curl:

curl -fsSL https://jilebi.ai/install.sh | bash

Using wget:

wget -qO- https://jilebi.ai/install.sh | bash

Windows (PowerShell)

irm https://jilebi.ai/install.ps1 | iex

Or with the full command:

Invoke-RestMethod https://jilebi.ai/install.ps1 | Invoke-Expression

What the installer does

• Detects your platform and architecture automatically
• Downloads the appropriate binary
• Installs to ~/.jilebi/bin (Unix) or %LOCALAPPDATA%\jilebi\bin (Windows)
• Adds Jilebi to your PATH
• Optionally installs recommended plugins (memory, sequential-thinking)

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Uninstall

To completely remove Jilebi from your system:

Linux & macOS

Using curl:

curl -fsSL https://jilebi.ai/uninstall.sh | bash

Using wget:

wget -qO- https://jilebi.ai/uninstall.sh | bash

Windows (PowerShell)

irm https://jilebi.ai/uninstall.ps1 | iex

Or with options:

# Skip confirmation prompts
irm https://jilebi.ai/uninstall.ps1 -OutFile uninstall.ps1; .\uninstall.ps1 -Force

# Keep plugins and data
irm https://jilebi.ai/uninstall.ps1 -OutFile uninstall.ps1; .\uninstall.ps1 -KeepData

What the uninstaller removes

• Jilebi binary and installation directory
• PATH entry from shell profile (Unix) or user environment (Windows)
• Optionally: plugins, data, and configuration files

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Manual Download

Platform	Architecture	Download
Windows 10/11	x86_64	Download
Linux	x86_64	Download
macOS	Apple Silicon	Download
macOS	Intel	Download

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Manual Installation

Windows

# 1. Unzip the downloaded file to your desired location

# 2. Install recommended plugins
.\jilebi.exe plugins add memory
.\jilebi.exe plugins add sequential-thinking

# 3. Start the MCP server
.\jilebi.exe stdio

Linux

# 1. Unzip the downloaded file to your desired location

# 2. Grant execution access
chmod +x jilebi

# 3. Install recommended plugins
./jilebi plugins add memory
./jilebi plugins add sequential-thinking

# 4. Start the MCP server
./jilebi stdio

macOS

# 1. Unzip the downloaded file to your desired location

# 2. Grant execution access
chmod +x jilebi

# 3. Remove quarantine attribute (required for unverified developers)
xattr -d com.apple.quarantine /path/to/jilebi

# 4. Install xz dependency
brew install xz

# 5. Install recommended plugins
./jilebi plugins add memory
./jilebi plugins add sequential-thinking

# 6. Start the MCP server
./jilebi stdio

Find more plugins at github.com/datron/jilebi-plugins

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Host Configuration

Jilebi integrates with various AI development environments. Below are configuration examples for supported hosts.

Claude Desktop

Config Location:

• Windows: %APPDATA%\Claude\claude_desktop_config.json
• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "jilebi": {
      "command": "jilebi",
      "args": ["stdio"],
      "env": {}
    }
  }
}

Claude Code

Add to .claude.json:

{
  "mcpServers": {
    "jilebi": {
      "command": "jilebi",
      "args": ["stdio"],
      "env": {}
    }
  }
}

Cursor

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "jilebi": {
      "command": "jilebi",
      "args": ["stdio"],
      "env": {}
    }
  }
}

VS Code

Add to your mcp.json:

{
  "servers": {
    "jilebi": {
      "type": "stdio",
      "command": "jilebi",
      "args": ["stdio"]
    }
  }
}

Zed

Edit ~/.config/zed/settings.json:

{
  "context_servers": {
    "jilebi": {
      "command": "jilebi",
      "args": ["stdio"],
      "enabled": true,
      "source": "custom",
      "env": {}
    }
  }
}

Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.jilebi]
command = "jilebi"
args = ["stdio"]

Opencode

Edit ~/.config/opencode.json:

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "jilebi": {
      "type": "local",
      "command": ["jilebi", "stdio"],
      "enabled": true,
      "environment": {}
    }
  }
}

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Plugin System

Plugins extend Jilebi with custom functionality through three main components:

Component	Description
Tools	Functions that models can invoke to interact with external systems
Resources	Read-only data sources for context (files, schemas, documentation)
Prompts	Pre-defined conversation templates with argument interpolation

Managing Plugins

# Install a plugin
jilebi plugins add <plugin-name>

# Create a new plugin
jilebi plugins create

# Setup/reconfigure a plugin
jilebi plugins setup <plugin-name>

# View plugin logs
jilebi plugins log <plugin-id>

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Creating Plugins

Quick Start

jilebi plugins create

Follow the prompts to bootstrap a new plugin project.

Plugin Manifest

Plugins are defined using a TOML manifest file. Here is an example structure:

# Metadata
name = "my-plugin"
version = "1.0.0"
homepage = "github.com/user/my-plugin"
creator = "Your Name"
contact = "you@example.com"

# Environment Variables
[env]
API_URL = { schema = { type = "string" }, default = "https://api.example.com" }

# Secrets (no defaults allowed)
[secrets]
API_KEY = { schema = { type = "string" } }

# Tools
[tools.my-tool]
name = "my-tool"
description = "Description of what this tool does"
input_schema = { type = "object", properties = { param = { type = "string" } }, required = ["param"] }
function = "my_tool_function"

[tools.my-tool.permissions]
hosts = ["https://api.example.com"]

# Resources
[resources.my-resource]
name = "my-resource"
description = "Description of this resource"
mime_type = "application/json"
function = "get_resource"

# Prompts
[prompts.my-prompt]
name = "my-prompt"
description = "A helpful prompt template"
arguments = [
  { name = "topic", description = "The topic to discuss", required = true }
]
messages = [
  { role = "user", content = { type = "text", content = "Tell me about {{topic}}" } }
]

Permission Types

Plugins can request the following permissions:

Permission	Description
hosts	Allowed host domains for network requests
urls	Specific allowed URLs
read_files	File paths the plugin can read
write_files	File paths the plugin can write
read_dirs	Directories the plugin can read from
write_dirs	Directories the plugin can write to

Use "user_defined" to prompt the user for a custom value during setup.

Built-in Functions

Plugins have access to:

State Management:

• setState(env, key, value) - Persist data across sessions
• getState(env, key) - Retrieve persisted data
• deleteState(env, key) - Remove persisted data

File System (Deno API):

• Directory operations: mkdir, readDir
• File operations: readFile, writeFile, readTextFile, writeTextFile
• File manipulation: stat, copyFile, rename, remove
• Temporary files: makeTempDir, makeTempFile
• And more...

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Logging and Debugging

Log Locations

Platform	Path
Windows	C:\Users\<user>\AppData\Roaming\jilebi\jilebi-server\data\logs
Linux	~/.local/share/jilebi-server/logs/
macOS	~/Library/Application Support/ai.jilebi.jilebi-server/logs

Viewing Logs

# View Jilebi server logs
jilebi log

# View plugin-specific logs
jilebi plugins log <plugin-id>

Writing Logs in Plugins

console.log("Info message");
console.warn("Warning message");
console.error("Error message");
console.debug("Debug message");

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Links

• Plugin Repository
• MCP Specification

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<p align="center"> _{Built with the Model Context Protocol (MCP) specification version 2025-03-26} </p>