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Jilebi

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A plugin-based MCP server that enables AI assistants to interact with external systems through custom tools, resources, and prompts.

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About

A plugin-based MCP server that enables AI assistants to interact with external systems through custom tools, resources, and prompts.

README

Jilebi Logo

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https://jilebi.ai

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


Table of Contents


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

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)

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

Manual Download

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

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


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": {}
    }
  }
}

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>

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 = "[email protected]"

# 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...

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");

Links


Built with the Model Context Protocol (MCP) specification version 2025-03-26

from github.com/Datron/jilebi

Installing Jilebi

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/Datron/jilebi

FAQ

Is Jilebi MCP free?

Yes, Jilebi MCP is free — one-click install via Unyly at no cost.

Does Jilebi need an API key?

No, Jilebi runs without API keys or environment variables.

Is Jilebi hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Jilebi in Claude Desktop, Claude Code or Cursor?

Open Jilebi on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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