Lets an AI agent pull the user's own Douyin creator-backend work data — plays, likes, comments, shares, saves, 5-second completion rate and more — into a locally accumulating CSV plus a daily overview, with tools for status checks, fetching, merging, and retrospective analysis. Access is read-only to the user's own account, needs no third-party dependencies, and keeps all data on the local machine.
Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.
Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.
Provides advanced Formula 1 analytics including real-time telemetry processing, tire degradation modeling, weather impact analysis, and Monte Carlo race strategy simulation for comprehensive F1 data analysis.
Enables authenticated users to manage paper-trading accounts, place and cancel orders with simulated fills, view positions and P&L, search instruments, fetch bars, and run quant-strategy lifecycles over stdio or streamable HTTP.
MCP server for k-prevention, enabling AI assistants to access decrypted financial data, run Monte Carlo simulations, optimize scenarios, and manage scenarios locally while preserving end-to-end encryption.
Enables advanced HubSpot CRM operations including unlimited record extraction, duplicate detection and merging, property drift analysis, and bulk upserts, surpassing official API limits.
Provides read-only access to MetaTrader 5 market data, trading history, and technical analysis through Python execution. Supports querying price data, calculating indicators, creating charts, and generating forecasts with Prophet and ML models.
Consolidated MCP server exposing 161 tools across 9 groups to manage a layered data platform (financial, economic, statistical) backed by a single SQLite file, with data fetching delegated to an upstream semantic fetcher.
Enables AI agents to perform read-only data hub queries including table listing, schema details, distinct values, and row-limited SELECT/aggregation, while rejecting free SQL.
Enables MCP clients to upload tabular datasets and run deterministic Pandas, NumPy, Excel/openpyxl, and automated EDA operations through registered tools.
Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
Answers "sales dropped since last week — where?" by comparing a target period against a weekday-adjusted baseline and localizing which attribute combinations (e.g. channel=web, or Tuesday nights) explain the shift. Runs fully offline on your own CSV — no API key, no ML training, read-only.
A Model Context Protocol (MCP) server that integrates the FAIM time series forecasting SDK with any MCP-compatible AI assistant, enabling AI-powered forecasting capabilities.
Enables incremental model scoring over an append-only event log, with a tamper-evident, hash-chained audit trail so every decision can be reviewed and independently re-verified.
A Model Context Protocol server that allows interaction with the RubyGems.org API to fetch metadata about Ruby packages, search gems, and explore dependencies and ownership information.
A MCP server that wraps CISP enterprise information APIs into MCP tools, enabling AI agents to query business data like company profiles, trademarks, patents, and more.