Guardia MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Guardia MCP Servershow my current revenue for this month"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Guardia MCP Server
A production Model Context Protocol (MCP) server with 70+ tools, OAuth 2.1 authentication, and frame-based tool filtering. Built with Python and FastAPI.
What It Does
This server exposes tools to AI assistants (Claude, etc.) via the MCP protocol. Tools span multiple domains — business operations, trading, creative writing, infrastructure, and more — organized into frames that let each client see only the tools relevant to its context.
Key Features
70+ tools across 12 domain modules with decorator-based auto-registration
Frame-based filtering — clients request a frame (
serberus,paradise,luna, etc.) and only see relevant toolsOAuth 2.1 — full authorization server with PKCE, JWT (RS256), refresh tokens
Streamable HTTP + SSE — compatible with Claude.ai, Claude Desktop, and custom clients
REST fallback —
/mcp/toolsand/mcp/callendpoints for non-MCP clientsStdio bridge —
bridge.jsconnects Claude Desktop (stdio transport) to the remote server
Related MCP server: MCP Auth Server
Architecture
main.py FastAPI app, SSE endpoints, protocol wiring
config.py Pydantic settings (env-driven)
bridge.js Claude Desktop stdio-to-HTTP bridge
mcp/
protocol.py JSON-RPC message handling
transport.py HTTP/SSE transport layer
sessions.py Session management
auth/
oauth_server.py OAuth 2.1 authorization server
jwt_handler.py RS256 JWT signing/verification
middleware.py Request authentication
models.py Auth data models
tools/
registry.py @tool decorator, auto-registration, frame filtering
cortex.py Brain/awareness tools
business.py Client and revenue tools
paradise.py Trading system tools
athernyx.py Creative writing tools
dev.py Development utilities
web.py Web search and browsing
atomic.py System tools (shell, files, queries)
... (12 modules total)
db/
cortex.py Cortex database helpers
spire.py App database helpers
oauth.py OAuth token storageAdding a Tool
Tools are registered with a decorator. Drop this in any tools/*.py file:
from tools.registry import tool, json_result, error_result
@tool(
name="my_tool",
description="What this tool does",
properties={
"input": {"type": "string", "description": "The input"}
},
required=["input"],
frames=["core"] # Which frames include this tool
)
async def my_tool(args: dict) -> dict:
value = args.get("input", "")
return json_result({"result": value})The registry auto-discovers all decorated functions at import time.
Frame Filtering
Frames control which tools a client sees. Pass ?frame=X on the SSE connection URL:
Frame | Tools | Use Case |
| ~14 | Essential tools (boot, cortex, system) |
| ~23 | Business operations + dev tools |
| ~25 | Trading system tools |
| ~37 | Creative writing tools |
| ~55 | Full assistant tools |
(none) | ~95 | All tools |
Frame only affects tools/list — all tools remain callable regardless of frame.
Setup
# Clone and install
git clone https://github.com/alexlaguardia/guardia-mcp.git
cd guardia-mcp
pip install -r requirements.txt
# Configure
cp .env.example .env
# Edit .env with your settings
# Generate RSA keys for JWT
mkdir -p keys
openssl genrsa -out keys/private.pem 2048
openssl rsa -in keys/private.pem -pubout -out keys/public.pem
# Run
python main.py
# Server starts on port 8100Connecting Clients
Claude.ai (remote):
SSE URL: https://your-domain.com/sse?frame=serberusClaude Desktop (stdio bridge):
{
"mcpServers": {
"guardia": {
"command": "node",
"args": ["bridge.js"],
"env": {
"MCP_BASE_URL": "https://your-domain.com",
"MCP_DEV_KEY": "your-dev-key"
}
}
}
}Stack
Runtime: Python 3.11+
Framework: FastAPI + Uvicorn
Auth: RS256 JWT, OAuth 2.1 with PKCE
Transport: Streamable HTTP, SSE, stdio (via bridge)
Database: SQLite (via raw queries)
Process Manager: PM2
License
MIT
This server cannot be installed
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