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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 query and retrieve public statistical data from Data Commons through search and observation tools. Provides access to demographic, economic, and other statistical indicators for analysis and research.

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 searching and retrieving Datadog logs through the Model Context Protocol with customizable queries, time ranges, and result limits.

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

Enables comprehensive Datadog monitoring capabilities including CI/CD pipeline management, service logs analysis, metrics querying, monitor and SLO management, service definitions retrieval, and team management through Claude and other MCP clients.

Enables integration with Datadog APIs to monitor and retrieve information about monitors, metrics, dashboards, logs, events, and incidents through the Model Context Protocol.

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.

A server that integrates with the CNJ DataJud API for the Maranhão Court of Justice (TJMA), enabling automated access to case data for queries, analysis, and AI-based predictions to optimize judicial activities.

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.

MCP server for DataLikers — 29 hand-built tools for Instagram & TikTok data: user search by demographics (gender/age/race/country), profiles, engagement, hashtags, locations, business accounts, top-users. Local stdio via npx -y datalikers-mcp, requires only DATALIKERS_KEY.

Enables AI models to generate synthetic data, manage templates and connections, push data to destinations, and execute Python scripts using DataMaker's data generation platform. Automatically handles large datasets by storing them to S3 with secure access links.

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.