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Model Context Protocol server for FLOX — gives AI agents grounded access to indicators, error codes, and the C API.

Project description

flox-mcp — Model Context Protocol server for FLOX

Gives AI agents (Cursor, Claude Code, Cline) grounded access to the FLOX C-API surface, error catalog, and indicator library — so they can write code against real signatures instead of guessing.

The server runs locally on the developer's machine; the IDE spawns it as a child process and talks to it over stdio. There is no public hosting; nothing leaves the machine.

Tools

Tool What it does
list_indicators Every indicator in flox_py with class signature, batch fn (if any), and shape. Filter by substring.
lookup_error_code E_SYM_001 → full Markdown page with fix recipe, common causes, diagnostics.
list_capi_functions Search the FLOX C-API surface from the committed ABI snapshot. Returns name + return type + parameter types.
validate_strategy Static-analysis check on Python strategy code: AST parses, expected hooks present, no eval/exec.
explain_event Describe the fields of a FLOX event struct (FloxTradeData, FloxBookData, FloxBarData, FloxSymbolContext, FloxSignal). Accepts a struct name or a raw event dict.
lookup_symbol Take any binding-local spelling (FloxBarData, BarData, flox_indicator_ema, ema) and return what the symbol is called in C-API, Python, Node, and Codon.
list_bindings Enumerate the exports of one binding (capi, python, node, codon, quickjs). Substring filter and limit.
get_example Code from docs/examples/ matching a topic (strategy, connector, indicator, event-handler, risk, backtest), optionally filtered by language.
scaffold_strategy Starter strategy class for Python or Node. Three kinds: bar-driven, trade-driven, hybrid. The Python output goes through ast.parse + validate_strategy; the Node output goes through node --check. CI fails if either breaks, so templates can't quietly rot.
docs_search Top-k FTS5 search over the docs. The index is built from an allowlist of roots; private trackers and CLAUDE.md are not in that allowlist.
run_backtest Run a Python strategy against a CSV dataset in a sandboxed subprocess. Caps CPU, memory, and output size; wall-clock timeout. MVP sandbox — caps resources but does not isolate filesystem or network. Treat the same way as any untrusted Python; use nsjail / firejail / Docker for production.
compute_indicator Run one FLOX indicator over a list of floats. Accepts class-form (EMA) or function-form (ema) names and forwards extra kwargs to the constructor. Input capped at 1 MiB. Needs flox-py installed (pip install "flox-mcp[flox]").
suggest_indicator Map an English description ('trend filter', 'momentum oscillator', 'volatility band', 'mean revert', 'regime test') to a ranked shortlist of FLOX indicators. Pure keyword heuristic — no LLM call. Always confirm the chosen indicator with list_indicators before using it.

Quickstart

pip install flox-mcp           # MCP server + flox-py (indicators, backtest, engine CLI)
flox-mcp init                  # writes ./.mcp.json for the current project
# restart your MCP client (Claude Code / Cursor / Cline) → done

You get the whole surface in one install: docs / lookup tools, indicator introspection, backtest, and the engine CLI (flox engine sim, flox tape record). For tier-5/6 (live state, place_order, flatten_positions), also start a paper engine and rerun init with the printed token:

flox engine sim --strategy s.py --tape ./tape       # prints engine URL + token
flox-mcp init --engine-url URL --token T            # appends env to ./.mcp.json

flox engine sim boots a Runner + SimulatedExecutor + ControlServer and writes a runtime snapshot the read tools poll. See python/flox_py/engine_cli.py for the full set of flags.

flox engine sim boots a Runner + SimulatedExecutor + ControlServer and writes a runtime snapshot the read tools poll. See python/flox_py/engine_cli.py for the full set of flags.

flox-mcp init flags

Flag What it does
(default) Writes ./.mcp.json in the current directory. Merges with an existing file.
--global Writes ~/.config/claude/.mcp.json instead.
--overwrite Replace an existing mcpServers.flox entry instead of refusing.
--print Print the merged config to stdout, don't write.
--engine-url URL Sets FLOX_CONTROL_URL (tier-5/6 wiring).
--token T Sets FLOX_CONTROL_TOKEN (printed by flox engine sim).

Manual override

If you'd rather hand-edit, the resulting .mcp.json is shaped like:

{
  "mcpServers": {
    "flox": {
      "command": "flox-mcp",
      "args": ["serve"],
      "env": {
        "FLOX_RUNTIME_STATE": "$HOME/.flox/runtime.json"
      }
    }
  }
}

Same shape works for Claude Code, Cursor, and Cline — they all read mcpServers.<name> from a project-local .mcp.json (or the client-specific global path).

Develop

cd mcp
pip install -e ".[dev]"

# Run the server manually (stdio):
flox-mcp

# Run unit tests:
pytest tests/

# Sync bundled data from canonical sources (.api/, docs/errors/):
python ../scripts/sync_mcp_data.py

Bundled data

Read-only copies in the wheel:

  • flox_mcp/data/c-api.snapshot — copy of .api/c-api.snapshot.
  • flox_mcp/data/errors/E_*.md — copies of docs/errors/E_*.md.
  • flox_mcp/data/ir.snapshot.json — IR (functions, structs, enums, typedefs, function pointers) pulled from the IDL spec via libclang. Versioned schema.
  • flox_mcp/data/binding_manifest.json — per-binding symbol map keyed by IDL group. Built from binding_parity.yaml plus scans of flox_py/_flox_py/__init__.pyi, node/index.d.ts, and the codon golden file.
  • flox_mcp/data/examples_index.json — index of docs/examples/ (path, language, topic, sha256).
  • flox_mcp/data/docs.fts.sqlite — SQLite FTS5 index over six doc roots: bindings, how-to, tutorials, reference, explanation, errors. Anything outside that list is skipped at index build time. Private trackers and CLAUDE.md are not in the allowlist.
  • flox_mcp/data/templates/strategy/{python,node}/{bar,trade,hybrid}-driven.tmpl — strategy scaffolds rendered by scaffold_strategy.

scripts/sync_mcp_data.py --check runs in CI. Any drift between a bundled copy and its canonical source fails the build. To update after editing a canonical source: run the script without --check and commit the diff.

The flox-mcp package version is bumped in lockstep with flox-py and @flox-foundation/flox by scripts/set-version.sh. An installed flox-mcp x.y.z was built from the same source tree as the matching flox-py / npm release, so what the agent sees lines up with what the developer has installed.

Scope notes

  • The server is local. No network calls. AI clients spawn it as a child process and talk via stdio.
  • Most tools are read-only data lookups. The two that execute code — compute_indicator and run_backtest — run in-process / in a resource-limited subprocess respectively. run_backtest is an MVP sandbox: it caps CPU, memory, and output size, but does NOT isolate filesystem or network. Wrap with nsjail / firejail / Docker for any deployment that takes untrusted input.
  • The snapshot used by list_capi_functions is the same .api/c-api.snapshot enforced by the codegen ABI gate; the IR snapshot used by lookup_symbol / list_bindings is regenerated from the same IDL spec on every release. So the agent's view of the surface tracks what FLOX actually ships.

License

MIT — same as FLOX.

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