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.
Aurekai MCP exposes 89 native akai_\* runtime operators to any MCP-compatible host, covering the full Aurekai binary family — API gateway, artifact inspection, proof bundle export, semantic embedding, batch queuing, entity detection, compression, and more. Zero external dependencies; runs locally via npx -y @aurekai/mcp.
This read-only MCP Server allows you to connect to Tally data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Tally (https://www.cdata.com/drivers/tally/download/mcp).
This read-only MCP Server allows you to connect to Box data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for Box (https://www.cdata.com/drivers/box/download/mcp).
This read-only MCP Server allows you to connect to CSV Files data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out our MCP Server for CSV Files (https://www.cdata.com/drivers/csv/download/mcp).
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.
Gives AI agents read-only access to curated, deduplicated, and well-described data products, complete with source metadata, freshness tracking, and per-agent permissions that preserve the source's access rights. The server can also answer "I don't know" rather than guessing when the approved data doesn't cover a question.
Enables Claude and other MCP clients to query GA4 read-only through tools for listing properties, running historical and realtime reports, and inspecting metadata.
Enables AI agents to discover official public data sources, inspect their metadata and endpoint parameters, and execute live queries through a unified response envelope with a 500 ms budget.
Enables retrieval of Amazon Japan Brand Analytics search terms and search query performance reports through five tools for creating, polling, downloading, and reading report artifacts.
Plataforma administrativa multi-cliente para conectar Siigo con paneles, automatizaciones y agentes de IA mediante MCP Streamable HTTP, ofreciendo herramientas para productos, clientes, cotizaciones e inventario.
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.
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.
MCP server that exposes NocoDB bases, tables, records, and linked records as tools, enabling Claude to read/write NocoDB data. Supports both stdio and HTTP for local and cloud deployments.
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.
Provides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.
The server functions as an MCP server to interact with Notion for retrieving and creating survey data, integrating with the Claude Desktop Client for conducting and reviewing surveys.
Provides a read-only MCP interface to locally synchronized Amazon seller data, enabling AI agents and analytics tools to query order, inventory, advertising, and settlement information with completeness and freshness checks for safe analysis.
A Model Context Protocol server for Microsoft Fabric that enables AI agents to query and analyze Lakehouse and Eventhouse data, and manage Eventstreams, using natural language through the MCP interface.
Enables exposing third-party data sources as Model Context Protocol servers with shared HTTP, rate limits, retries, caching, validation, and observability through thin per-source adapters.
Enables AI agents to list and read Kafka topics and to propose schema-checked message writes that are dry-run by default and require explicit human approval, with every action bounded by the broker's own ACLs for the caller's principal and traced end to end.
Provides real-time and historical cryptocurrency market data from multiple exchanges (Binance, Kraken, Coinbase Pro) with Redis caching and rate limiting support.
Enables LLMs to interact with Google Analytics 4 data through the Google Analytics Data API, supporting standard reports, real-time data, and metadata retrieval.
Enables data-quality workflows by applying named, deterministic transformations to records and generating replayable lineage with content hashes, so users can verify that cleaned results follow exactly from raw inputs.
Enables k-anonymization of tabular data through generalization and suppression, with utility reporting and an MCP interface for field classification and anonymization. Runs entirely in-process with no network access.