"Information about Snowflake Data Warehouses" matching MCP servers:

Enables read-only Snowflake database queries through MCP, allowing safe SELECT, SHOW, DESCRIBE, WITH, and EXPLAIN operations via natural language tools with lazy connection setup.

Enables Claude to interact with a Snowflake account through four tools: schema inspection, read-only queries, data/object execution (DML, DDL, COPY INTO, GRANT), and query log reads, with stdio transport and local macOS operation.

Enables read-only querying of Snowflake databases through Claude, supporting multiple authentication methods and SQL operations like SELECT, SHOW, DESCRIBE.

This read-only MCP Server allows you to connect to Snowflake data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables users to query both structured and unstructured data in Snowflake using Cortex AI features including Cortex Search for RAG applications, Cortex Analyst for semantic modeling, and Cortex Agent for agentic orchestration across data types.

Enables Claude Desktop to interact with Snowflake databases through natural-language SQL queries. Built in Python, it allows secure local integration between LLMs and enterprise data systems for database operations and analysis.

Enables autonomous data quality inspection and repair workflows. It scans DuckDB warehouses for anomalies, generates and verifies fixes in a dry-run copy, then applies them after validation, with full audit logging.

Local MCP server that registers restricted Python filters and runs them against local JSON, YAML, and TXT files, enabling safe data filtering and file conversion.

MCP server that profiles local data files (CSV, Parquet, JSON, Excel) and returns compact structured summaries with data-quality flags, enabling AI agents to understand datasets without seeing raw rows.

Enables LLMs to profile and analyze tabular data files (CSV, Parquet, Excel, JSON) by extracting schema, statistics, data quality issues, and dtype suggestions, returning structured JSON.

MCP server for Japanese public business data, enabling AI agents to validate and look up corporate numbers, search bank/branch codes, and check national holidays. Runs locally with no telemetry; live corporate registry data requires a free NTA app ID.

A Model Context Protocol server that extracts embedded data (such as i18n translations or key/value configurations) from TypeScript/JavaScript source code into structured JSON configuration files.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

Enables agents to explore a database safely and read-only through three tools — list_tables, describe_table, and run_query — served over stdio. Queries are guarded by lexical validation, a capped LIMIT, a read-only SQLite connection, and an authorizer with a timeout.

Enables AI agents to fetch crypto market and on-chain data, including prices across venues, token facts, OHLC candles, market overview, DeFi TVL, and wallet balances, with two free tools and the rest paid per call in USDC on Base via x402.

MCP server providing AI agents with access to Japanese data APIs (address, furigana, transit, diet, holiday, weather, houjin) via a pay-per-use x402 payment protocol.

Lets AI agents and developers inspect and query local MySQL, Redis, and MongoDB instances over STDIO or authenticated loopback HTTP, with read-only defaults and allowlisted non-production writes that require explicit opt-in. Production connections always reject writes, and database-enforced read-only accounts are recommended.

Enables read-only MCP access to an unpacked game data directory, supporting directory listing, paginated text/XML reading, content search, translation lookup, and retrieval of spell/entity definitions without executing Lua or computing derived values.

Enables natural-language research queries across marine data sources including FAO FishStat, BarentsWatch Fish Health, and Copernicus Marine, with data provenance and local file exports.

Enables MCP clients like Claude and Cursor to query public Instagram data read-only — profiles, posts, reels, stories, highlights, comments, likers, followers, hashtags, places, audio and search — over local stdio without writing files or storing anything.

This MCP server enables research agents to access read-only A-share and US-equity market data, including prices, fundamentals, financial statements, news, and shareholder activity. It operates over stdio without requiring an API key for initial public sources.

MCP server for privacy-gated local Apple data access including Mail, Messages, Notes, Calendar, Contacts, Photos, Reminders, Voice Memos, and iCloud Drive.

Provides 102 tools for end-to-end data science pipelines, enabling data loading, cleaning, visualization, modeling, and reporting via natural language.

Enables users to query Google Search Console and Bing Webmaster data, inspect indexed URLs, submit same-host URLs to IndexNow, and retrieve PageSpeed Insights and CrUX metrics through their MCP client using their own credentials.

An MCP server for dataset exploration and analysis, enabling LLM clients to perform summary, correlation, distribution, missing value analysis, data cleaning, and statistical tests directly on CSV files.

Profiles authorized local datasets into inspectable Data Context for AI assistants, with optional local model-assisted interpretation.

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

Exposes data query and auto-insights (anomaly detection) as MCP tools. Enables AI agents to query metrics, list columns, and get data insights directly from pandas.

Generates fixed-length test data records with customizable field types including strings, enums, integers, dates, and fillers. Helps developers create realistic test datasets with specified formats and constraints.

Enables Baldur's Gate 3 modders to look up game data across base-game and mod layers, run static lint checks on stats and progressions, test changes in a running game through the Script Extender, and export mods for Larian Toolkit/mod.io publishing. It also packs, deploys and restarts the game so mods can be iterated on without leaving the assistant.