"PlayStation 2" matching MCP servers:

基于Model Context Protocol (MCP) 的A股实时行情查询服务器，支持查询A股实时价格、历史K线数据、财务信息及市场概况。

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.

Pulls enterprise counts by NACE Rev.2 activity and size class from Eurostat and buckets them into SME and 250+ categories for the DTM TAM model, with tools to fill TAM spreadsheets directly.

Enables enrichment of company domains with verified firmographic signals including tech stack, hiring activity, email infrastructure, and SOC 2 compliance, returning compact typed JSON for AI agents.

The JSON to Excel MCP provides a standardized interface for converting (1)JSON data (2)URL pointing to JSON files into CSV format

Minimalistic MCP server that lets AI assistants inspect, quality-check, and clean CSV datasets through tools, resources, and prompts, without needing local file access.

Model Context Protocol server that enables LLMs and AI assistants to retrieve real-time Dota 2 statistics, match data, player information, and game metrics through a standardized interface.

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

Enables MCP clients to discover processor and controller service types, build and wire Apache NiFi 2.x process groups, schedule them, and debug queues and bulletins through the NiFi REST API. Supports flow spec application, automatic canvas layout, parameter contexts, and an optional read-only mode that blocks all writes.

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.

Enables an AI assistant to turn a plain-language description into a working Apache NiFi 2.x flow, validate and layout the canvas, run test data, golden-file replays and diagnostics, and commit only verified versions to the NiFi Registry. It exposes 44 read-or-write tools for exploring, building, testing, debugging and releasing flows, staying read-only unless writes are explicitly enabled.

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 MCP clients to parse, build, edit, and validate 1C Data Conversion 2 exchange rules (ПравилаОбмена 2.01, registration and correspondent rules) against configuration metadata, including matching hints, XML round-trip editing, reverse-direction drafts, and pre-transfer checks.

Enables heavy computation and data processing tasks in Claude Desktop, including complex SQL operations, large-scale data transformations, and resilient batch processing with automatic retry mechanisms.

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.

Official MCP server for the s2.dev serverless stream platform

An auto-generated Multi-Agent Conversation Protocol server that enables interaction with professional golf data through the SportsData.io Golf v2 API.

A demo MCP server with two governed systems (pipeline semantic layer and predictive model) for querying and scoring professional services opportunities with cross-system governance.

Enables interaction with S2 StreamStore to manage basins, access tokens, and data streams through a progressive tool disclosure workflow. It allows AI agents to efficiently navigate between account management, basin configuration, and stream-level operations like reading or writing records.

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.

Turn any CSV into a stunning interactive dashboard with one command — works as CLI, MCP server, or AI skill

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 interaction with Apache Pulsar clusters through MCP-compatible clients, supporting publish, consume, topic management, and connector operations.

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.

Enables local and offline XLSX header cataloging, candidate relationship inference, and Oracle SELECT/WITH SQL generation without accessing databases or executing SQL.

MCP server for Lakehouse42, enabling code-first tool discovery, hybrid search, document management, and Iceberg time-travel queries with optimized responses.

Enables users to interact with Apache Airflow through MCP to monitor DAGs, inspect runs and logs, and diagnose task failures using natural language.

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.

Enables Claude to search, retrieve, and analyze indexed files with sensitivity classifications and automatic redaction of sensitive information.

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.