"Discover" matching MCP servers:

Enables AI agents to index and search across SQLite databases and CSV files to discover table schemas and column metadata. It provides a unified MCP API for data source management and structural exploration through natural language.

Enables AI agents to discover and access 800TB+ of public geospatial data from Source Cooperative, with tools for listing organizations, products, files, and fuzzy search.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

An enterprise-grade data analysis system that enables users to discover data sources, configure analyses, and execute workflows through Claude Desktop. It features intelligent caching, session isolation, and secure JWT authentication for streamlined multi-user data orchestration.

Enables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.

Enables conversational assessment and migration of Domo estates to Databricks, allowing AI clients to discover, analyze, and transpile Domo assets into Databricks pipelines.

Enables compatible AI clients to discover and query governed metrics and datasets, ask business questions, investigate metric changes, and retrieve supporting evidence while access remains governed by the configured identity.

Enables AI agents and developers to discover, inspect, run, and schedule live public social media data collection from 157 platforms, including Reddit, TikTok, Instagram, X, YouTube, Xiaohongshu, and Douyin. It supports previews, cost quotes, async runs, and download links via remote MCP, an Agent Skill, or REST API.

Enables AI agents to discover, search, and connect to over 1,679 live data sources through Pipeworx, including browsing packs, checking platform health, and measuring real-time data freshness.

Exposes over 19,000 Apify Actors as MCP tools for web scraping, data extraction, and OSINT automation. It enables AI agents to dynamically discover and execute scrapers to collect structured data and crawl web content.

Turns Google Sheets, CSV, Excel, and Parquet files into durable, queryable data for AI agents. Lets clients securely discover datasets, inspect semantic models, run bounded analytics, and manage approved semantic overlays.

Lets AI clients discover available API operation schemas and write sandboxed JavaScript that chains those operations together, returning only the results they need. Supports stdio and Streamable HTTP transports.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Exposes an Apache Ossie semantic model over MCP so AI agents can discover metrics, dimensions and relationships, then translate business-term questions into a single ClickHouse query. Also serves the generated SQL and model descriptions, letting agents validate and recover from mistakes without knowing ClickHouse specifics.

A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.

Enables querying your own local bank and credit card statement files (CSV or PDF) in plain language, so you can discover forgotten recurring subscriptions, compare spending across months and quarters, and look up transactions without any bank logins or network calls.

Enables AI agents to discover, execute, and validate CyberChef operations for data encoding, decoding, encryption, and transformation tasks. Provides structured access to CyberChef's extensive catalog of data manipulation tools through natural language interactions.

A secure, read-only MCP server for Amazon Redshift that enables AI assistants to discover, query, and export data through natural language via 10 specialized tools, with schema allowlisting and row limits for safety.

Enables exposing any Databricks capability as MCP tools for AI agents, allowing MCP clients like Claude, AI Playground, and Copilot Studio to discover and call them without client-side changes.

Enables AI agents to discover, purchase, and query blockchain-based datasets using Filecoin/IPFS storage with Ethereum NFT access controls and Lit Protocol encryption. Provides a decentralized marketplace for secure dataset trading with automatic purchase workflows and SQL query capabilities.