"Gin" matching MCP servers:

Enables China A-share quantitative market data retrieval, including market overview, industry rotation, sector hotspots, limit-up analysis, and risk alerts.

Enables AI agents to train and query Explainable Boosting Machine models on CSV data, returning transparent predictions with exact feature contribution breakdowns via MCP.

Read-only MCP server for the July 2026 survey of AI in open-source design systems, enabling agents to query 19 systems' affordances, coercion techniques, and platform data via 9 tools, 2 resources, and 2 prompts.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

An MCP server that gives AI assistants read access to real brokerage accounts and market data, with 39 tools for prices, technical analysis, SEC filings, and macro indicators, while order execution requires human approval via a separate dashboard.

Enables AI agents and sportsbooks to discover, evaluate, and monitor alternative sports leagues with tools for discovery, valuation, fingerprinting, and market data.

MCP-compatible server that gives AI agents access to alternative sports data across 30+ leagues — odds, events, probabilities, settlement, and futures for prediction markets, DFS platforms, and sportsbooks.

A local MCP server that enables AI assistants to control Origin/OriginPro on Windows via Python automation, with adaptive path detection to resolve import errors.

Enables financial data retrieval, company context, market information, financial modelling, and valuation through MCP tools, with a deterministic sample provider for testing before connecting live data sources.

Enables academic research through paper search across multiple databases (IACR, CryptoBib, Crossref, Google Scholar), PDF processing, and GitHub repository browsing. Features modular architecture with FastMCP-based proxy server routing to specialized academic tools.

MCP server providing access to 1M synthetic Korean personas based on KOSIS statistics, enabling persona sampling, search, and analysis via natural language queries.

Enables structured information extraction from academic PDFs using LLMs, integrating with Claude Desktop for natural language querying and batch processing.

A lightweight MCP server that provides stock research tools for Japanese and US stocks, including price, dividends, valuation, and screening, powered by yfinance.

Lets Claude run validated, auditable HEOR analyses (cohort construction, outcome computation, overlap-weighted comparison) as deterministic tools on synthetic healthcare data.

Enables AI assistants to interact with Ansys simulation software (Fluent, MAPDL, Mechanical, Geometry) through the Model Context Protocol.

Enables querying a source-cited index of AI vendors' data practices—training on inputs, retention, and opt-out options—with tools to get a cited verdict for one vendor or compare a field across all 11 products.

Enables natural language question answering over academic PDFs with grounded answers, exact source attribution, and explicit uncertainty handling.

Provides data-driven cover letter coaching by analyzing tone, keywords, and structure using a database of successful examples and corporate strategy reports.