Vestibule
A plugin-based MCP server that securely exposes custom tools to AI agents, keeping sensitive information hidden while enabling operations like email whitelisting through pluggable plugins.
README
Vestibule
v0.1.0 Beta — Initial release. Installation via
uvfrom source (not yet on PyPI).
A plugin-based MCP (Model Context Protocol) server using pluggy for extensibility.
Overview
Vestibule provides a secure way to expose custom tools to AI agents while keeping sensitive information (credentials, email addresses, API keys) hidden from the agent. Plugins implement email whitelisting, calendar access, and other sensitive operations behind clean tool interfaces.
Think of it as a gateway between AI and action — the vestibule controls what passes through, ensuring only safe, validated operations proceed.
Features
- Plugin Architecture: Discover and load plugins via entry points
- Secrets Management: Environment-based secrets with plugin-declared prefixes
- TOML Configuration: Multi-level config merging (CLI > project > user > defaults)
- Pydantic Validation: Plugin configs validated against declared schemas at startup
- Fail-Fast: Server exits with clear errors if config or secrets validation fails
- MCP Protocol: Full support for tools, resources, and prompts
- Dual Transport: Stdio and HTTP/SSE transports
Quick Start
Installation
Vestibule 0.1.0 is not yet published to PyPI. Install from source using uv:
# Clone the repository
git clone https://github.com/b34nst4lk/vestibule.git
cd vestibule
# Install the server and workspace plugins
uv sync
This installs:
vestibule— the core MCP servervestibule-email— email whitelisting plugin (workspace only)vestibule-example— minimal example plugin for plugin authors
Note: The
vestibule-emailplugin is included as a workspace package for testing. A standalone PyPI package will be available in a future release. Thevestibule-exampleplugin demonstrates the plugin API but is not published to PyPI.
Configuration
Create .vestibule/config.toml:
[tool.vestibule]
host = "localhost"
port = 8080
transport = "stdio"
[tool.vestibule.plugins.email]
smtp_host = "smtp.gmail.com"
sender_email = "you@gmail.com"
[tool.vestibule.plugins.email.whitelist]
alice = "alice@example.com"
bob = "bob@example.com"
Set environment variables (or use .env):
EMAIL_SMTP_PASSWORD=your_app_password
EMAIL_SENDER_EMAIL=you@gmail.com
EMAIL_WHITELIST='{"alice": "alice@example.com", "bob": "bob@example.com"}'
Running
# Run with stdio transport (for MCP clients)
uv run python main.py
# Or use the CLI
vestibule serve
Available Plugins
vestibule-email (workspace only)
Email whitelisting plugin that allows sending emails only to pre-approved recipients.
Tools:
send_email(recipient_name, subject, body, cc_recipient_name)- Send an emaillist_whitelist()- List all whitelisted recipientsadd_to_whitelist(name, email)- Add a recipient to the runtime whitelist
Note: This plugin is included as a workspace package for testing. A standalone PyPI package will be available in a future release.
vestibule-example
Minimal example plugin demonstrating the Vestibule plugin API. Use this as a template for creating your own plugins.
Tools:
list_whitelist()- List all whitelisted recipientsadd_to_whitelist(name, email)- Add a recipient to the runtime whitelistremove_from_whitelist(name)- Remove a recipient from the runtime whitelist
Note: This plugin is included for plugin authors as a template. It is not published to PyPI — only the vestibule server is released. See packages/vestibule_example/README.md for the plugin author guide.
Plugin Development
Creating a Plugin
- Create a new package with entry point:
# pyproject.toml
[project.entry-points."vestibule.plugins"]
my-plugin = "vestibule_my_plugin"
- Implement hooks in
__init__.py:
from vestibule import hooks
from pydantic import BaseModel
@hooks.hookimpl
def vestibule_register_plugin_info():
return "my-plugin", hooks.PluginMetadata(
name="my-plugin",
version="1.0.0",
description="My custom plugin"
)
@hooks.hookimpl
def vestibule_config_schema():
return MyPluginConfig # Pydantic model
@hooks.hookimpl
def vestibule_register_tools(mcp_server):
@mcp_server.tool()
def my_tool(arg: str) -> str:
return f"Result: {arg}"
Available Hooks
| Hook | Purpose | First Result |
|---|---|---|
vestibule_register_plugin_info |
Return plugin metadata | Yes |
vestibule_register_tools |
Register MCP tools | No |
vestibule_register_resources |
Register MCP resources | No |
vestibule_register_prompts |
Register MCP prompts | No |
vestibule_validate_secrets |
Validate required secrets | No |
vestibule_config_schema |
Return Pydantic config schema | Yes |
vestibule_init |
Initialize plugin with validated config | No |
Project Structure
vestibule/
vestibule/ # Core server package
__init__.py
hooks.py # Pluggy hook specifications
plugin_manager.py # Plugin discovery and loading
config.py # Configuration loading
cli.py # CLI commands
transports/
stdio.py # Stdio transport
http_sse.py # HTTP/SSE transport
common.py # Shared handlers
packages/
vestibule_email/ # Email whitelisting plugin
vestibule_email/
__init__.py
tests/
tests/ # Server tests
.vestibule/
config.toml.example # Example configuration
.env.example # Example environment variables
Commands
# Run tests
uv run pytest
# Run with coverage
uv run pytest --cov=vestibule --cov=packages/vestibule_email
# Run the server
uv run python main.py
# CLI commands
vestibule serve # Start the server
vestibule healthcheck # Validate plugin secrets
vestibule plugins # List loaded plugins
vestibule version # Show version
License
MIT
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