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A plugin-based MCP server that enables AI assistants to interact with external systems through custom tools, resources, and prompts.
A plugin-based MCP server that enables AI assistants to interact with external systems through custom tools, resources, and prompts.
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A powerful, plugin-based MCP (Model Context Protocol) server that extends AI assistants with custom tools, resources, and prompts.
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:
The fastest way to install Jilebi is using our installation scripts:
Using curl:
curl -fsSL https://jilebi.ai/install.sh | bash
Using wget:
wget -qO- https://jilebi.ai/install.sh | bash
irm https://jilebi.ai/install.ps1 | iex
Or with the full command:
Invoke-RestMethod https://jilebi.ai/install.ps1 | Invoke-Expression
~/.jilebi/bin (Unix) or %LOCALAPPDATA%\jilebi\bin (Windows)To completely remove Jilebi from your system:
Using curl:
curl -fsSL https://jilebi.ai/uninstall.sh | bash
Using wget:
wget -qO- https://jilebi.ai/uninstall.sh | bash
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
| Platform | Architecture | Download |
|---|---|---|
| Windows 10/11 | x86_64 | Download |
| Linux | x86_64 | Download |
| macOS | Apple Silicon | Download |
| macOS | Intel | Download |
# 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
# 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
# 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
Jilebi integrates with various AI development environments. Below are configuration examples for supported hosts.
Config Location:
%APPDATA%\Claude\claude_desktop_config.json~/Library/Application Support/Claude/claude_desktop_config.json~/.config/Claude/claude_desktop_config.json{
"mcpServers": {
"jilebi": {
"command": "jilebi",
"args": ["stdio"],
"env": {}
}
}
}
Add to .claude.json:
{
"mcpServers": {
"jilebi": {
"command": "jilebi",
"args": ["stdio"],
"env": {}
}
}
}
Edit ~/.cursor/mcp.json:
{
"mcpServers": {
"jilebi": {
"command": "jilebi",
"args": ["stdio"],
"env": {}
}
}
}
Add to your mcp.json:
{
"servers": {
"jilebi": {
"type": "stdio",
"command": "jilebi",
"args": ["stdio"]
}
}
}
Edit ~/.config/zed/settings.json:
{
"context_servers": {
"jilebi": {
"command": "jilebi",
"args": ["stdio"],
"enabled": true,
"source": "custom",
"env": {}
}
}
}
Add to ~/.codex/config.toml:
[mcp_servers.jilebi]
command = "jilebi"
args = ["stdio"]
Edit ~/.config/opencode.json:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"jilebi": {
"type": "local",
"command": ["jilebi", "stdio"],
"enabled": true,
"environment": {}
}
}
}
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 |
# 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>
jilebi plugins create
Follow the prompts to bootstrap a new plugin project.
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}}" } }
]
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.
Plugins have access to:
State Management:
setState(env, key, value) - Persist data across sessionsgetState(env, key) - Retrieve persisted datadeleteState(env, key) - Remove persisted dataFile System (Deno API):
mkdir, readDirreadFile, writeFile, readTextFile, writeTextFilestat, copyFile, rename, removemakeTempDir, makeTempFile| 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 |
# View Jilebi server logs
jilebi log
# View plugin-specific logs
jilebi plugins log <plugin-id>
console.log("Info message");
console.warn("Warning message");
console.error("Error message");
console.debug("Debug message");
Built with the Model Context Protocol (MCP) specification version 2025-03-26
Run in your terminal:
claude mcp add jilebi -- npx Security
Low riskAutomated heuristic from public metadata — not a security guarantee.