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šŸš€ FusionAL — Self-Hosted MCP Governance Gateway

License: MIT Docker Python 3.11+ MCP Compatible

Your team connected 10 MCP servers. Now what?
🌐 fusional.dev • šŸ“§ jrm@fusional.com • šŸ—“ļø Book a Call

MCP is powerful. Enterprise MCP deployment is a different problem entirely.

Every server you connect loads its full tool manifest into Claude's context window before processing a single token of your request. At 84 tools across several servers, that's 15,540 tokens consumed at session start — before your team has asked anything. At scale, that's cost, latency, and an audit surface nobody can explain to legal.

FusionAL is a self-hosted MCP governance gateway that sits between your AI clients and your tool servers. One endpoint. Central auth. Tool-level policy enforcement. Full audit trail. Deployable in a single Docker command — including on Windows, where MCP has 6 documented failure modes the official docs don't cover.

Built for teams that have already said yes to MCP and now need to run it safely:

  • Token control — filter tool exposure per client so context bloat doesn't scale with your server count

  • Audit-ready operations — every tool call logged with caller, input, latency, and response status

  • Policy enforcement — control what tools run, for whom, and under what conditions

  • Windows-hardened — 6 documented failure modes solved, none of which appear in official MCP docs

  • AI-powered server generation — describe a tool in plain English, FusionAL builds and registers it

  • Done-for-you option — we deploy, govern, and manage it for you

The question isn't whether to adopt MCP. It's whether your deployment will survive contact with your security team.


⚔ Quick Start (5 Minutes)

Prerequisites

  • Docker Desktop (installed and running)

  • Claude Desktop

  • Python 3.11+

  • Git

Step 1: Clone & Install

git clone https://github.com/JRM-FusionAL/FusionAL.git
cd FusionAL

python -m venv venv
source venv/bin/activate        # macOS/Linux
# venv\Scripts\activate         # Windows

pip install -r core/requirements.txt

Step 2: Start FusionAL

cd core
python -m uvicorn main:app --reload --port 8009

Verify it's running:

curl http://localhost:8009/health

Step 3: Configure Claude Desktop

Find your config file:

  • Windows: C:\Users\YourName\AppData\Roaming\Claude\claude_desktop_config.json

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

  • Linux: ~/.config/Claude/claude_desktop_config.json

āš ļø Windows users: Do NOT use %APPDATA% in the path — Claude Desktop won't expand it. Hardcode the full path. Example: C:\Users\YourName\AppData\Roaming\Claude\claude_desktop_config.json

Add FusionAL as an MCP server:

{
  "mcpServers": {
    "fusional-gateway": {
      "url": "http://localhost:8009/sse"
    }
  }
}

Step 4: Restart Claude Desktop & Test

Fully quit and reopen Claude Desktop. Open a new chat and try:

"Generate a Python MCP server that fetches the current weather for a given city."

FusionAL will generate, register, and run it automatically.


Related MCP server: Proofpane

🐳 Docker Deploy

Build and run the full gateway in Docker:

docker build -t fusional .
docker run -d -p 8089:8009 --name fusional fusional

Or with Docker Compose:

docker compose up -d

Gateway available at http://localhost:8089.


šŸ—ļø Architecture

Claude Desktop / Any MCP Client
         │
         ā–¼  (SSE or Streamable HTTP)
  FusionAL Gateway  (:8009)
         │
   ā”Œā”€ā”€ā”€ā”€ā”€ā”“ā”€ā”€ā”€ā”€ā”€ā”€ā”
   ā–¼            ā–¼
FastAPI      MCP Transport (/mcp)
REST API     ā”œā”€ā”€ execute_code
             ā”œā”€ā”€ generate_and_execute
             └── generate_mcp_project
         │
         ā–¼
  Docker Sandbox Executor
  (network isolated, memory capped)
         │
         ā–¼
  MCP Server Registry (JSON)
  ā”œā”€ā”€ business-intelligence-mcp  (:8101)
  ā”œā”€ā”€ api-integration-hub        (:8102)
  └── content-automation-mcp     (:8103)

MCP Tools (via /mcp)

Tool

Description

execute_code

Run Python in an isolated subprocess sandbox

generate_and_execute

Plain English prompt → Claude writes it → runs it

generate_mcp_project

Describe an MCP server → Claude builds the full project

REST API

Endpoint

Method

Description

/health

GET

Health check

/execute

POST

Execute Python (optional Docker sandbox)

/register

POST

Register an MCP server in the registry

/catalog

GET

List all registered servers

/generate

POST

Generate and launch a new server from a prompt


šŸ› ļø Showcase Servers

These servers ship with the mcp-consulting-kit and are pre-registered in the FusionAL gateway:

Server

Port

Tools

business-intelligence-mcp

8101

Natural language → SQL (PostgreSQL, MySQL, SQLite)

api-integration-hub

8102

Slack, GitHub Issues, Stripe customer lookup

content-automation-mcp

8103

Web scraping, link extraction, table parsing, RSS feeds

Start the full showcase stack:

cd ../mcp-consulting-kit
docker compose up -d

šŸ”’ Security Model

Docker Sandbox

Each code execution runs with:

  • āœ… Network isolation (--network none)

  • āœ… Memory limits (default 128 MB, configurable)

  • āœ… Process limits (max 64 processes)

  • āœ… Read-only filesystem (except /tmp)

  • āœ… No privilege escalation

  • āœ… Non-root user execution

API Security (optional)

When mcp-consulting-kit/showcase-servers/common/security.py is present, the gateway enables:

  • API key authentication on /execute, /register, /generate

  • Rate limiting

  • CORS configuration


🪟 Windows-Specific Fixes

FusionAL documents and solves 6 Windows MCP failure modes not covered in official docs:

  1. The 60-Second Silence — Claude Desktop times out with zero error. Caused by Docker socket init lag.
    Read the fix →

  2. The BOM Trap — Notepad/VS Code injects a byte-order mark into JSON configs, silently breaking MCP.
    Fix: [System.IO.File]::WriteAllText(path, content, New-Object System.Text.UTF8Encoding($false))

  3. The Backslash Trap — Windows path separators in claude_desktop_config.json break startup silently.
    Use forward slashes or escaped double backslashes.

  4. %USERPROFILE% expansion — Claude Desktop does NOT expand env vars in config paths. Hardcode them.

  5. Docker named pipe failure — Docker's named pipe transport fails on WSL2. Use /var/run/docker.sock.

  6. Registry timeout at 8+ servers — Claude Desktop hits a timeout threshold on lower-end hardware.
    Cap your registry at 8 servers on i5/i7 7th gen and below.


🧰 Building Your Own MCP Server

Using the AI Builder (via Claude Desktop)

After connecting FusionAL, ask Claude:

"Generate an MCP server that queries our PostgreSQL database using natural language."

FusionAL generates the full project, builds it, and registers it in the gateway automatically.

Manual Server Structure

my-server/
ā”œā”€ā”€ Dockerfile
ā”œā”€ā”€ requirements.txt
ā”œā”€ā”€ my_server.py       ← FastMCP tools go here
└── .env

Key Rules

  1. Use @mcp.tool() decorators on async functions

  2. Single-line docstrings only (multi-line breaks some MCP clients)

  3. Return formatted strings from all tools

  4. Default parameters to "" not None

  5. Log to sys.stderr

  6. Run as non-root in Docker

from mcp.server.fastmcp import FastMCP
import sys

mcp = FastMCP("my-server")

@mcp.tool()
async def my_tool(query: str = "") -> str:
    """What this tool does in one line."""
    return f"āœ… Result for: {query}"

if __name__ == "__main__":
    mcp.run(transport='stdio')

šŸ“š Examples

Example

Path

What it demonstrates

Dice Roller

examples/dice-roller/

D&D dice (8 tools), dice notation parsing

Weather API

examples/weather-api/

External API integration, error handling

File Utils

examples/file-utils/

Safe filesystem access, pagination


šŸš€ Done-for-You Consulting

Don't want to self-manage? FusionAL offers done-for-you MCP deployments:

Tier

Scope

Price

Starter Install

Single environment, core servers, Windows hardening

$2,500–$3,500

Core Install

Full stack, custom servers, governance layer, team onboarding

$5,000–$9,000

Retainer

Ongoing ops, incident response, new server builds

$1,500–$4,000/mo

Book a free 15-min MCP security audit →


šŸ¤ Contributing

Contributions welcome. Priority areas:

  • New example servers

  • Windows compatibility fixes

  • Documentation improvements

  • Test coverage


šŸ“„ License

MIT — see LICENSE


šŸ™ Credits


Built by a self-taught developer who fixed the MCP problems nobody else documented.
🌐 fusional.dev • ⭐ Star the repo if it saved you hours


šŸ™Œ Origin & Inspiration

FusionAL started with a NetworkChuck video.

If you haven't watched "you need to learn MCP RIGHT NOW!!" — go watch it first. Chuck explains the fundamentals better than anyone, and his docker-mcp-tutorial repo is the best starting point for understanding how MCP servers work with Docker.

The dice-roller example and quick-start structure in this repo are adapted from that tutorial (MIT licensed).

Where FusionAL goes further:

Chuck's tutorial shows you how to build MCP servers manually — edit a prompt template, paste it into Claude, implement the result yourself.

FusionAL removes the human from that loop entirely. Instead of a prompt file you copy-paste, generate_mcp_project is a live tool call — Claude describes what it wants built, FusionAL generates it, registers it, and runs it. No clipboard. No manual steps.

More importantly, Chuck's video covers Docker's MCP catalog — 300+ servers you can enable with a click. That's step one. FusionAL is what you need when a CTO asks:

"Great — but how do we audit what those tools are doing? How do we enforce policy? How do we make sure this doesn't become a security incident?"

That's the gap FusionAL was built to fill: governance, auditability, and operational control for teams deploying MCP at scale — especially on Windows, where the catalog alone isn't enough.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

No tool schema history has been recorded yet.

Maintenance

ActivityActive
ResponsivenessNo issues

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