GW_MCP

from services.gracedb_service import get_gracedb_service from services.gwosc_service import get_gwosc_service # Use services directly gwosc = get_gwosc_service() gps_time = gwosc.get_event_gps("GW150914") print(f"GPS time: {gps_time}")

- Build a REST API: Wrap the services in a FastAPI/Flask server for any LLM that supports function calling via HTTP.

If you have LIGO credentials, you can access real-time alerts from the current observing run.

By default, theligo-gracedbclient searches for credentials in this order:
- SciTokenat/tmp/bt_u${UID}orSCITOKEN_FILEenvironment variable
- X.509 credentialsfrom thecredparameter (cert/key pair or proxy file)
- Environment variables:X509_USER_CERT+X509_USER_KEY
- Environment variable:X509_USER_PROXY
- Proxy from ligo-proxy-init:/tmp/x509up_u${UID}
- Default location:~/.globus/usercert.pemand~/.globus/userkey.pem
- No credentials(public access only)

Set these before running the MCP server:

# For SciToken export SCITOKEN_FILE=/path/to/your/scitoken # OR for X.509 certificate export X509_USER_CERT=/path/to/usercert.pem export X509_USER_KEY=/path/to/userkey.pem # OR for proxy file export X509_USER_PROXY=/tmp/x509up_u${UID}

Editsrc/gw_mcp_server/services/gracedb_service.py:

# For X.509 cert/key pair: self._client = GraceDb( cred=('/path/to/cert.pem', '/path/to/key.pem') ) # For combined proxy file: self._client = GraceDb( cred='/path/to/proxy.pem' ) # To explicitly use only SciToken: self._client = GraceDb(use_auth='scitoken') # To explicitly use only X.509: self._client = GraceDb(use_auth='x509')

If you want to explicitly disable authentication attempts:

self._client = GraceDb(force_noauth=True)

If you use this software in your research, please cite:

@software{gw_mcp, title={GW MCP Server: Gravitational Wave Data Access for AI Agents}, ={Adam Zacharia Anil}, year={2025}, url={https://github.com/adamzacharia/GW_MCP} }

Search global news using natural language. Webz.io News Search API returns the most relevant articles and content, with filters for source, country, language, date, sentiment, and category.

searchcode.com — Code Intelligence for LLMs

Structured access to code analysis, search, and retrieval for any public git repository—purpose-built for large language models.

Interact with the GitHub API for file operations, repository management, and search.

An MCP server that makes documentation and codebases searchable for AI assistants, supporting local directories and Git repositories.

Anchor is local repo and org memory for AI coding agents. It indexes GitHub PR history, current code, tests, regressions, architecture, and cross-repo impact locally, then exposes concise cited context through MCP and CLI workflows. Local-first. Read-only GitHub access. No CLI telemetry. No SaaS. No remote LLM calls.

Search Spryker packages, documentation, and code within Spryker GitHub repositories using natural language.

Local stdio MCP server that lets AI coding agents read and maintain structured architecture, rules, and decisions directly from your repository.

Semantic code search for AI agents without indexing your codebase or storing any data. Fast and accurate.

Create and read feature flags, review experiments, generate flag types, search docs, and interact with GrowthBook's feature flagging and experimentation platform.

Word search, crossword, and sudoku generator MCP server with printable PDF worksheets, themed word banks, and verifiable LLM evals. Local-first, from the makers of puzzletide.com.