Skip to main content
Glama
deenesjakoruzh
henryurlo

FIX MCP Server

by henryurlo
OverviewSchemaRelated ServersScoreDiscussions
Python
Hybrid

FIX-MCP

FIX protocol simulation platform for capital markets operations. AI-powered SRE copilot with real-time diagnostics, incident runbooks, and MCP tool integration for trading infrastructure management.

Quick Start

git clone https://github.com/henryurlo/fix-mcp-server.git
cd fix-mcp-server
docker compose up -d

Open http://localhost:3000.

Login: henry / henry (admin) · admin / admin · or click Demo Mode.

Service

URL

What it serves

Mission Control

http://localhost:3000

Sleek trading ops dashboard with scenario lifecycle

REST API

http://localhost:8000

MCP tool dispatch, system status

MCP stdio

docker compose run

For AI agents via MCP protocol

No Node or Python on your host — everything runs in containers.

Mission Control

Three tabs:

Tab

Purpose

Mission Control

Live topology, FIX heartbeat panel, scenario picker + interactive terminal

Telemetry

Real-time metrics — sparklines, order book, FX rates

Scenario Library

Browse all scenarios by severity/difficulty, inspect runbooks, success criteria

Core Layout

┌──────────────────┬─────────────────────────────────────┐
│ Topology Graph   │ FIX Terminal                        │
│ (ecosystem)      │ fix-cli> show sessions              │
│                  │ fix-cli> query orders               │
├──────────────────┼─────────────────────────────────────┤
│ Runbook Panel    │ MCP Audit Log                       │
│ (live steps)     │ [+ SRE Copilot slides in →]         │
└──────────────────┴─────────────────────────────────────┘

Scenarios

13 training scenarios covering a full trading day (02:00–16:32 ET). Each includes:

  • Runbook — 4-6 diagnostic/fix steps with exact MCP tool calls

  • Success criteria — explicit conditions that define "resolved"

  • Hints — key problems, flag meanings, common mistakes

  • Severity & difficulty — from beginner to advanced

Scenario

Severity

Time

Est

morning_triage

Critical

06:15

25m

bats_startup_0200

Medium

02:05

15m

predawn_adrs_0430

Medium

04:35

15m

preopen_auction_0900

High

09:02

20m

open_volatility_0930

High

09:35

20m

venue_degradation_1030

Critical

10:32

30m

twap_slippage_1000

High

10:05

20m

ssr_and_split_1130

Critical

11:34

35m

vwap_vol_spike_1130

Critical

11:35

25m

iex_recovery_1400

Medium

14:03

15m

is_dark_failure_1415

High

14:15

25m

eod_moc_1530

High

15:31

20m

afterhours_dark_1630

Medium

16:32

15m

MCP Tools (22)

Category

Tools

Diagnostic

run_premarket_check, check_fix_sessions, check_ticker, query_orders, validate_orders, dump_session_state

Session Recovery

fix_session_issue, session_heartbeat, reset_sequence

Order Actions

send_order, cancel_replace, release_stuck_orders

Algo Suite

send_algo_order, check_algo_status, modify_algo, cancel_algo

Reference/Venue

update_ticker, load_ticker, update_venue_status, list_scenarios

AI Copilot

The SRE Copilot is FIX-aware with:

  • Full decision trees for session diagnostics, order triage, and algo management

  • Scenario-specific context injection (situation, key problems, flag meanings, common mistakes, success criteria)

  • Tool call approval gates for irreversible operations

  • Concise, actionable output — quantitative impact with FIX message types

Architecture

┌──────────────────────────────────────────────┐
│              Mission Control (Next.js)       │
│          http://localhost:3000               │
└──────────────────────┬───────────────────────┘
                       │ REST proxy
┌──────────────────────▼───────────────────────┐
│              REST API                        │
│         http://localhost:8000                │
│  /api/status /api/orders /api/                │
│  /api/scenarios /api/scenario/{name}         │
│  /api/tool (POST) /api/reset (POST)          │
└──────────────────────┬───────────────────────┘
                       │
┌──────────────────────▼───────────────────────┐
│        FIX Engine (Python)                   │
│  OMS · FIXSessionManager                     │
│  ReferenceDataStore · AlgoEngine             │
└──────────────────────┬───────────────────────┘
                       │
┌──────────────────────▼───────────────────────┐
│  PostgreSQL (orders) · Redis (pub/sub)       │
└──────────────────────────────────────────────┘

Tech Stack

  • Backend: Python 3.11, MCP SDK, asyncio, stdlib http.server

  • Frontend: Next.js 16, React 19, React Flow, Zustand 5, Tailwind CSS v4, lucide icons

  • Infra: PostgreSQL 16, Redis 7, Docker Compose

  • Protocol: FIX 4.2 / 4.4 simulation

  • AI: OpenRouter API (any compatible model; default qwen/qwen3.6-plus)

MCP Integration (external clients)

{
  "mcpServers": {
    "fix-mcp": {
      "command": "npx",
      "args": ["-y", "@anthropic-ai/mcp-remote@latest"],
      "env": { "MCP_URL": "http://localhost:8000/mcp" }
    }
  }
}

Development

# Backend (Python)
pip install -e .
python -m fix_mcp.api           # REST on :8000

# Frontend (Node)
npm install
npm run dev                     # Next.js on :3000

The Next.js route handler reads BACKEND_URL — defaults to http://127.0.0.1:8000 for local dev.

Built by Henry Urlo.

Install Server
A
security – no known vulnerabilities
F
license - not found
B
quality - B tier

How are these scores calculated?

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Tools

View all tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/henryurlo/fix-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server