Eos Fitting MCP Server
Pyfa MCP
MCP server that wraps the Eos EVE Online fitting engine (same stack as Pyfa). Agents propose fit changes; this server applies them, recalculates, and returns a FitReport. It never suggests modules — it only evaluates.
Install (uvx)
Once published to PyPI:
uvx pyfa-mcpUntil then, from a checkout (submodules required so Eos is bundled into the install):
git clone --recurse-submodules git@github.com:theonlysinjin/eve-fit-mcp.git
cd eve-fit-mcp
uvx --from . pyfa-mcpOr from git directly (after submodules are fetchable in the build):
uvx --from git+https://github.com/theonlysinjin/eve-fit-mcp.git pyfa-mcpCursor MCP config (uvx)
{
"mcpServers": {
"pyfa-mcp": {
"command": "uvx",
"args": ["--from", "/path/to/eve-fit-mcp", "pyfa-mcp"]
}
}
}After PyPI:
{
"mcpServers": {
"pyfa-mcp": {
"command": "uvx",
"args": ["pyfa-mcp"]
}
}
}Staticdata downloads on first run into ~/.cache/pyfa-mcp/ (or call refresh_static_data). First Eos cache build can take a few minutes.
Requirements
Python 3.10+ (pulled in by uvx)
Network on first run for staticdata (or set
EOS_PHOBOS_PATH)Dev checkouts: git submodules
eos,phobos,pyfa(pyfa/staticdataused when present)
Staticdata (auto / refresh)
EOS_PHOBOS_PATHif setIn-tree
pyfa/staticdata(submodule)~/.cache/pyfa-mcp/staticdata(orEOS_DATA_DIR)Download from GitHub release
staticdata
Environment
Variable | Required | Description |
| no | Dump root; auto-resolved if omitted |
| no | Eos cache file (default under data dir) |
| no | Download/cache root (default |
| no | Override release asset URL |
| no | Default |
| no | Only needed for editable/dev without wheel-bundled eos |
| no | Max in-memory fits (default 100) |
| no | Optional fit TTL in seconds |
Dev install
git clone --recurse-submodules git@github.com:theonlysinjin/eve-fit-mcp.git
cd eve-fit-mcp
uv venv .venv && source .venv/bin/activate
uv pip install -e ".[dev]"
pytest
pyfa-mcp # or: python -m pyfa_mcpPrebuilt binary
See binary-latest (pyfa-mcp-linux-x64, macOS, Windows). Point Cursor at the binary; staticdata still auto-downloads.
Creating AGENTS.md (fitting projects)
Put an AGENTS.md in the project where you design fits (not in this MCP repo):
# Fit with Pyfa MCP
You design EVE Online fits by proposing changes; the **pyfa-mcp** MCP evaluates them. It never suggests modules — you do.
Use the **eve-online-esi** MCP when the fit should reflect a real character’s skills. Prefer a cached map under `users/<Name>/skills.json`; refresh from ESI when asked or when the file is missing/stale.
## Skills (player maps)
**Apply (fitting):** load `users/<Name>/skills.json` → `set_skills(fit_id, data["skills"])`. Keys are skill type IDs; values are `active_skill_level` (0–5). Theorycraft: skip and use `apply_all_skills_5`.
**Refresh (update cache):**
1. `add_character` if needed (SSO; tokens stay local). Re-auth on 401 / missing character.
2. `GetCharactersCharacterIdSkills` with `character_id` (+ `X-Compatibility-Date`).
3. Write `users/<Name>/skills.json` as `{ character_id, name, updated_at, total_sp?, unallocated_sp?, skills: { str(skill_id): active_skill_level } }`.
## Startup
1. Confirm the goal in one line: role, constraints (EHP, DPS, tank type, cap stable?), and skills (player map via `users/…/skills.json`, or theorycraft).
2. If using a player map: load (or refresh) skills as above.
3. `create_fit(ship_type_id)` then either `set_skills` (from file) or `apply_all_skills_5`.
4. Rough in a full fit with type IDs: highs → mids → lows → rigs → drones/fighters → implants if needed.
5. Read the FitReport. Fix hard blockers first (`validation_errors`, CPU/PG/slots), then optimize toward the goal.
6. Iterate: **one** change per turn (`equip_module` / `replace_module` / `set_module_state` / `set_charge` / …). Compare reports. Use `clone_fit` for A/B forks.
## Rules
- Type IDs only — never invent them.
- Soft failures (CPU, skills, slots) still apply; hard errors (bad ID, wrong rack) do not mutate.
- Racks: `high` / `mid` / `low`. States: `offline` | `online` | `active` | `overload`.
- Stop when constraints are met or gains flatten. Summarize the final fit + key stats.
## FitReport priorities
`validation_errors` → `resources` / `slots` → `combat` (dps, ehp, RPS) → `mobility` → `fit` snapshot.Tools (v1)
Session: create_fit, clone_fit, delete_fit, list_fits, get_fit, reset_fit
Skills: set_skills, set_skill, clear_skills, apply_all_skills_5
Hull: set_ship, set_stance, equip_module, replace_module, remove_module, set_module_state, set_charge, add_rig / remove_rig, add_subsystem / remove_subsystem, add_drone / remove_drone / set_drone_state, add_fighter / remove_fighter / set_fighter_state, add_implant / remove_implant, add_booster / remove_booster, set_effect_beacon
Eval: get_stats, validate_fit
Data: refresh_static_data
Non-goals
Autofitting / “make this better”
ESI login, skill sync, market prices
wx/GUI / Pyfa desktop integration
Full EFT/DNA import in v1
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