GW150914 Signal Search
This gravitational wave signal detection MCP server provides AI assistants with complete access to LIGO-Virgo gravitational wave data analysis through PyCBC and GWpy integration. Built by He Wang for the GW150914 event analysis, it implements a full matched filtering pipeline including data fetching from GWOSC, preprocessing with high-pass filtering, template generation with sky localization parameters, network SNR calculation across multiple detectors, and visualization capabilities. The implementation features an optimization client that uses OpenAI models to iteratively search the 4D parameter space (mass1, mass2, right ascension, declination) to maximize detection SNR, with convergence monitoring and result persistence. It supports multi-detector network analysis for LIGO Hanford, LIGO Livingston, and Virgo detectors, making it useful for gravitational wave researchers, students learning GW data analysis, and AI-assisted parameter optimization workflows in astrophysics.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve GW150914 Signal Search from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.