Jilebi
A secure, extensible MCP runtime with JS plugins
$$$$$\ $$\ $$\ $$\ $$\
\__$$ |\__|$$ | $$ | \__|
$$ |$$\ $$ | $$$$$$\ $$$$$$$\ $$\
$$ |$$ |$$ |$$ __$$\ $$ __$$\ $$ |
$$\ $$ |$$ |$$ |$$$$$$$$ |$$ | $$ |$$ |
$$ | $$ |$$ |$$ |$$ ____|$$ | $$ |$$ |
\$$$$$$ |$$ |$$ |\$$$$$$$\ $$$$$$$ |$$ |
\______/ \__|\__| \_______|\_______/ \__|
A powerful, plugin-based MCP (Model Context Protocol) server that extends AI assistants with custom tools, resources, and prompts.
Table of Contents
- Overview
- Download
- Installation
- Host Configuration
- Plugin System
- Creating Plugins
- Logging and Debugging
- Links
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 sessionsgetState(env, key)- Retrieve persisted datadeleteState(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
Related Servers
Strider Labs Instacart MCP
MCP server for Instacart - let AI agents order groceries and household items from local stores
Alpaca Trading
Manage stock and crypto portfolios, place trades, and access market data via the Alpaca Trading API.
企业经营分析洞察服务
Provides in-depth analysis of enterprise operations, including business status, development, and market performance.
LIFX
Control LIFX smart lights through the LIFX HTTP API.
QuantOracle
63 deterministic quant computation tools for autonomous financial agents. Options pricing, derivatives, risk, portfolio optimization, statistics, crypto/DeFi, macro/FX. 1,000 free calls/day, no signup.
Mureka
generate lyrics, song and background music(instrumental)
Weather Edge MCP
Calibrated weather probability signals for Kalshi prediction markets. Dual-model: NWS forecast + GFS 31-member ensemble. Real-time METAR from settlement stations.
CardRail
MCP server that lets AI agents make purchases with personal Visa/Mastercard cards and configurable guardrails. No LLC required.
Soccerdata MCP Server
Provides real-time football match information from the SoccerDataAPI using natural language.
AstraCipher
Cryptographic identity MCP server for AI agents using W3C DIDs, Verifiable Credentials, and NIST post-quantum cryptography (ML-DSA-65 FIPS 204).