jita-mcp
Remote MCP server for EVE Online that validates ship fittings with actual stats, DPS/EHP, and live market prices, enabling LLMs to answer whether a fit works and what it costs.
README
jita-mcp
An MCP server that lets Claude (and any other MCP-compatible LLM) actually fit
EVE Online ships. The LLM brings the meta knowledge — what's good for what
content — and jita-mcp answers the ground-truth questions: does this fit
work, what does it actually do, what does it cost?
Stats are computed by pyfa's fitting engine, so ship bonuses, skill multipliers, ammo selection, drone DPS, implant effects, and stacking penalties are all applied correctly. Module prices come live from ESI (Jita 4-4 sell-min, cached per ESI's rules).
What you can ask Claude
"Build me a kinetic-DPS Condor at All V. Use jita-mcp."
"I have a Vexor with Hammerhead IIs. What's the best low-slot DPS mod and tank for a buffer fit? Keep it under 50M ISK."
"Validate this Manticore fit and tell me if it's cap-stable."
"Export this fit to EFT and list every skill I need."
Tools
| Tool | What it does |
|---|---|
get_ship_info |
Slot layout, fitting room, base HP and resists, capacities (cargo + drone bay + every specialised hold), ship bonuses, required skills. |
get_modules_for_goal |
Ranked module candidates for a goal + slot (max DPS, max EHP, max speed, specific damage types). Auto-picks best ammo for damage goals. Returns Jita 4-4 prices per candidate. |
calculate_fit |
Validates a complete fit. Returns CPU/PG/calibration/drone bay usage, DPS by damage type, EHP per layer, resists, capacitor stability, mobility, sensor stats, total ISK cost, and a list of any problems with actionable messages. |
export_eft |
Formats a fit as the EFT string EVE / pyfa accept on paste-in, plus the full recursive skill prerequisite list. |
The full schemas are exposed via MCP's list_tools; Claude reads them
automatically.
Quick start
Requires Python 3.12+ and uv.
# 1. Clone with submodules (pyfa is vendored)
git clone --recurse-submodules https://github.com/zachyt/jita-mcp
cd jita-mcp
# 2. Install deps + build pyfa's data DB (one-time, ~10s)
uv sync
uv run python scripts/build_eve_db.py
# 3. (Optional) Download the Fuzzwork SDE if you want it ready for future
# universe-data tools
python3 scripts/fetch_sde.py
# 4. Start the server
uv run jita-mcp # listens on :8080
Adding it to Claude Code
claude mcp add jita-mcp --transport http http://localhost:8080/mcp
Restart your Claude Code session and the five tools become available. After that, just talk to Claude about EVE fits — it'll call the tools as needed.
Adding it to Claude.ai (web)
Settings → Connectors → Add custom connector → point at your server's HTTPS URL.
Requires public HTTPS, so you'll want to deploy it (see Deployment below) or
use a tunnel like ngrok.
Day-to-day commands
| Command | What it does |
|---|---|
uv sync |
Install / sync Python deps |
uv run jita-mcp |
Start the MCP server on :8080 |
uv run pytest |
Run the test suite |
uv run ruff check |
Lint |
uv run python scripts/build_eve_db.py |
Rebuild eve.db from pyfa staticdata |
Configuration
All via environment variables (defaults in jita_mcp/config.py):
| Var | Default | Purpose |
|---|---|---|
JITA_MCP_HOST |
0.0.0.0 |
Bind address |
JITA_MCP_PORT |
8080 |
Bind port |
JITA_MCP_SDE_PATH |
data/sde.sqlite |
Fuzzwork SDE path (optional) |
Deployment
Build the production container with:
docker build -t jita-mcp:latest .
docker run -p 8080:8080 jita-mcp:latest
The Dockerfile is multi-stage and bakes everything needed (eve.db, the eos
source, our Python deps) into the runtime image. Approximate sizes: ~400 MB
compressed, ~2 GB on disk.
Point any HTTPS-fronted host (Fly.io, Lightsail, your own VPS) at the container and add the URL as a custom connector in Claude.
License
GPL-3.0-or-later. The project links pyfa's eos engine (LGPL-3.0) and ships pyfa's bundled data; GPL-3.0 satisfies both.
Credits
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