Tigl

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tigl-mcp is a lightweight Model Context Protocol server for CPACS-oriented TiGL workflows. The current implementation focuses on deterministic, JSON-friendly tooling backed by stubbed CPACS/TiGL behavior so local development, tests, and docs stay stable without native geometry runtimes.

Overview

The project currently provides:

• A FastMCP-powered server with stdio and HTTP-compatible transports
• A curated set of CPACS lifecycle, inspection, export, sampling, and parameter tools
• Pydantic-backed tool validation with structured MCP error payloads
• Deterministic CPACS/TiGL stand-ins for stable local development and CI

Quickstart

Requires Python 3.12+.

python3 -m venv .venv
source .venv/bin/activate
make dev
make test
make ci

Start the server over stdio:

tigl-mcp --transport stdio

Inspect the non-blocking HTTP transport configuration example:

PYTHONPATH=src python3 examples/server/http_launch_config.py

Examples

The examples are deterministic and aligned with the current stub-backed implementation.

• Examples index: examples/README.md
• Tool discovery: examples/client/tool_discovery.py
• Session lifecycle: examples/cpacs/session_lifecycle.py
• Export snapshot: examples/cpacs/export_snapshot.py

Docs

• Docs source: docs/index.rst
• Published docs: https://cmudrc.github.io/tigl-mcp/

Build the docs locally with:

make docs

Current Capability Boundaries

• The default tests and examples target the deterministic stand-ins in tigl_mcp.cpacs_stubs.
• Tool names, schemas, and JSON payload shapes are stable.
• Geometry values are intentionally simplified; they reflect the current stub contract rather than full native TiGL fidelity.

Shared-CPACS Integration

This MCP includes a CPACS adapter (src/tigl_mcp/cpacs_adapter.py) that bridges TiGL to the shared-CPACS aircraft analysis pipeline.

What it does

The adapter reads CPACS geometry (wings, fuselages, profiles) and writes analysis results — component counts, bounding boxes, and STEP export metadata — into //analysisResults/tigl.

Running as part of the pipeline

# As part of the full 4-MCP pipeline (with SU2, pyCycle, Mission)
python pipeline/shared_cpacs_orchestrator.py D150_v30.xml --mcps tigl su2 pycycle mission

# TiGL only
python pipeline/shared_cpacs_orchestrator.py D150_v30.xml --mcps tigl

See cmudrc/aircraft-analysis for full pipeline documentation, versioning details, and installation instructions.

Related MCP servers

Contributing

Contribution guidelines live in CONTRIBUTING.md.