Made-to-order data for AI agents via x402 micropayments on Base. Describe a need in plain language, get a custom quote, pay per call. No signup, no API keys. HTTP + MCP transports. 5 tools.
Enables users to audit personal reading streams by quantifying category diversity with Shannon entropy, detecting lexical redundancy and echo chambers via Jaccard similarity, and ranking content sources by decibel signal-to-noise ratio for pruning recommendations.
This MCP server enables users to analyze personal reading and media streams by computing Shannon entropy, detecting Jaccard redundancy and echo chambers, and ranking content sources by decibel SNR to produce pruning recommendations and high-signal curation.
A read-only MCP server for bounded table discovery, deterministic profiling, and maintained-library statistical testing (Welch's t-test and two-proportion z-test) using SQLite, pandas, SciPy, and statsmodels.
Provides access to Canadian federal parliamentary data (debates, bills, MPs, votes, Hansard transcripts) and legal information (case law and legislation through CanLII) for research and analysis.
Answers operational questions about route on-time performance, such as lateness rates and trip evidence, using structured tools for route summary, trip lateness, and data quality.
MCP server exposing 40 best-practice product management skills plus workflows and lifecycle tools, instantly accessible to any AI via Model Context Protocol.
Provides tools to interact with the Harmonic AI API for company and person enrichment, specifically focusing on venture capital deal flow. It enables users to search for companies using natural language, find similar businesses, and retrieve detailed information on organizations and individuals.
Independent trust scores, claim audits, and side-by-side comparisons for AI agents, queryable over MCP. Every verdict is backed by hands-on testing and signed evidence from Hlido (hlido.eu). Hosted endpoint available at https://hlido.eu/mcp — no auth required.
Portfolio risk analytics MCP server — VaR, Monte Carlo simulation, stress testing, portfolio optimization, options Greeks, and correlation analysis. Real market data via Yahoo Finance. Free tier available, Pro at $29/mo.
A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API.
Features
Retrieve drug label information by brand name
Retrieve drug information by generic (active ingredient) name
Get all brand versions of a generic drug
Get adverse event (side effect) reports for a drug
Wraps a hosted prediction market API to expose estimation, sizing, scanning, ensemble, and service-information tools for experimental research, returning payment-required details on HTTP 402 responses without handling payment itself.
Enables users to search and retrieve detailed pharmaceutical drug information from the Korea Pharmaceutical Information Center (KPIC) API. Supports drug name searches and detailed lookups by drug code including ingredients, usage, precautions, and storage information.
Enables historical options research and regression testing against tastytrade's Backtester API, allowing users to discover backtest coverage, submit and poll backtests, and simulate historical trades without placing orders.
Enables AI assistants to run verified statistical and analytics computations—including hypothesis tests, A/B testing, descriptive summaries, and sample-size planning—directly on local CSV, TSV, Excel, and Parquet files of any size. Results include effect sizes, confidence intervals, plain-English interpretations, and assumption warnings, with optional independent checks.
Enables AI assistants to search and retrieve information from 3GPP specification documents, including full-text search and specific lookup for LTE and 5G NAS cause values. It comes with pre-processed data for major specifications covering NAS, RRC, and protocol conformance testing.
Calculates Human Design charts based on birth date, time, and location, providing type, strategy, authority, profile, gates, defined centers, and incarnation cross information.
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.
Minds MCP enables AI assistants to run synthetic market research end to end using grounded synthetic customer panels for concept testing, message testing, and segment comparison, with durable server-side studies exporting to PDF, CSV, XLSX, JSON, and Markdown.