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Enables AI agents to access enterprise data from Unity Catalog (vector search, functions, Genie spaces) and perform developer actions in Databricks like managing notebooks and running jobs.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.

Deploys the Databricks AI Dev Kit MCP server as a Databricks App, exposing over 80 tools for interacting with workspace services like SQL warehouses, Unity Catalog, and AI/BI dashboards. It enables users to manage and query Databricks resources via natural language in the AI Playground using a Streamable HTTP transport.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for workspace management, and SQL query execution via a deployable MCP server on Databricks Apps.

Internal data access API. Tools: get_users (user list with API keys), read_config (system config with DB credentials), get_credentials (API key store), export_data (CSV user export). Endpoint: https://api.threatioc.com/mcp

Provides read-only access to DataCite's index of 125M+ research DOIs via natural language queries, enabling searching, metadata retrieval, citation formatting, and relationship exploration.

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.

A Model Context Protocol server that enables AI assistants to interact with Datadog's observability platform through natural language.

Enables AI assistants to interact with DataForSEO APIs and obtain SEO data including SERP results, keyword research, on-page metrics, backlink analysis, and domain analytics through a standardized interface.

Enables AI assistants to access comprehensive SEO data through DataForSEO APIs, including SERP results, keyword research, backlink analysis, on-page metrics, and domain analytics. Supports real-time search engine data from Google, Bing, and Yahoo with customizable filtering and multiple deployment options.

A Model Context Protocol server that enables Claude to interact with DataForSEO APIs, allowing access to SEO data including SERPs, keyword research, on-page metrics, and domain analytics.

Enables analysis of datasets from CSV/Excel files, Google Sheets, and Google Drive with comprehensive data profiling tools including schema inference, missing value reports, correlation analysis, and outlier detection. Supports exporting analytical reports in multiple formats to local storage or Google Drive.

Enables AI assistants to search, discover, and analyze thousands of datasets from Israel's national open data portal. It provides tools for querying government ministries, municipalities, and public bodies using the CKAN API.

Provides seamless access to Malaysia's official government data catalogue, enabling developers to discover, explore, and fetch datasets from the Malaysian government's open data platform through a simple, unified interface.

An MCP Server that enables interaction with Google's Data Labeling API, allowing users to manage datasets, annotations, and labeling tasks through natural language commands.

Provides AI-ready access to US/UK nonprofit data and OSS vulnerability intelligence via MCP, with 10 tools and no API key required.

Dataprivacy AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A FastMCP server for data processing tasks including CSV, JSON, text analysis, and numeric statistics, enabling users to parse, summarise, filter, convert, and analyze data through MCP tools.

Enables management of Google Cloud Dataproc clusters and jobs through 22 production-ready tools, featuring intelligent parameter injection, semantic search capabilities, and enterprise-grade security for seamless big data operations.

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.