349 boosters for "data" — open source, verified from GitHub, ready to install
Extracts structured datasets from academic papers by leveraging OpenAlex search and citation graph traversal. Researchers and AI scientists benefit from automating literature review and dataset creation workflows.
Heuristic scoring (no AI key configured).
Spotdb is an ephemeral data sandbox for AI workflows that provides secure, isolated database environments for agentic AI systems. It's useful for developers building AI agents and LLM applications that need safe data isolation and guardrails.
A Claude agent specialist designed to retrieve, analyze, and process financial market data across compatible platforms. Finance teams and data analysts benefit from automated market research and data extraction workflows.
A Claude agent designed to facilitate database migrations across projects by automating code search, adaptation, and execution tasks. Developers managing schema changes and data transfers benefit from its library-first approach and integrated bash capabilities.
A Claude agent for automating data preprocessing tasks with library-first constraints and access to file operations and bash execution. Useful for developers building data pipelines who want to leverage Claude's capabilities with existing component libraries.
A data steward agent that enforces library-first development practices by checking component catalogs and patterns before implementing solutions. It helps teams maintain code reuse and consistency across projects.
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
Vespertide enables developers to define database schemas declaratively in JSON and generate type-safe migrations and SQL for Vespertide-based projects. Useful for teams building database-driven applications who need structured schema management with validation.
"name": "hive-intelligence", "description": "MCP server and CLI for Hive Intelligence — crypto, DeFi, stocks, forex, and macro data", "build": "tsup && chmod 755 build/server.js build/cli.js",
"name": "medical-mcps", "version": "0.1.17", "description": "Comprehensive biological and medical research data integration server providing unified access to 13+ specialized databases including Reactome (pathways), KEGG (pathways/diseases), UniProt (proteins), ChEMBL (drug discovery), PubMed (liter
Campertunity MCP Server enables Claude to access camping and outdoor recreation data through the Model Context Protocol, helping travelers and outdoor enthusiasts find and plan camping trips programmatically.
"name": "genomic-agent-discovery", "description": "AI agents that collaborate to analyze your DNA. 20+ MCP tools, 16 databases, real-time dashboard. Runs locally.", "main": "src/cli.mjs",
The Data Agent is a specialized assistant that handles database operations, data modeling, schema design, and quality assurance across projects. It benefits developers, data engineers, and architects who need expert guidance on data management workflows and optimization.
"name": "anysite-skills", "description": "Professional skills for data extraction and analysis using anysite MCP server. Covers LinkedIn, Instagram, Twitter/X, Reddit, YouTube, Y Combinator, SEC, and web scraping for lead generation, competitive intelligence, market research, social media analytics,
"name": "enterprise-team", "displayName": "Enterprise Team - Hire a Whole Company", "description": "Complete virtual company with 76 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People. Pipeline modes (Full/Sprint/Micro), De
"name": "radar-suite", "description": "Six-skill audit suite for iOS/Swift codebases: data models, UI paths, data round-trips, time bombs, visual quality, and capstone grading. As of v2.0 every finding is classified on a 3-axis framework (real bug / scatter / dead code) with mandatory coaching citat
"name": "datahub-skills", "description": "DataHub development and interaction toolkit with connector planning, PR review, catalog search, metadata enrichment, lineage tracing, data quality management, and connection setup skills", "name": "DataHub Project"
"name": "datafusion-skills", "description": "DataFusion-powered skills for Claude Code: query data with SQL, read Parquet/CSV/JSON/Arrow files, search DataFusion docs, create external tables, build materialized views, and visualize query plans.", "name": "datafusion-contrib",
GPRPy enables Claude to process and visualize ground-penetrating radar data through signal processing, velocity analysis, and depth conversion—essential for geophysicists, archaeologists, and civil engineers analyzing subsurface structures.
Pooch enables reliable downloading, caching, and verification of geoscience datasets with automatic integrity checks and multi-source fallback support. Essential for researchers and developers working with large scientific data files who need reproducible, efficient data workflows.
dlisio enables Claude to read, parse, and extract data from DLIS/LIS well log files—critical formats in oil & gas and geoscience workflows. Essential for petrophysicists, geoscientists, and data engineers working with wireline logs.
Welly is a specialized toolkit for geoscientists to load, process, and analyze subsurface well log data from LAS files, enabling multi-well projects, curve processing, and cross-well analysis. It's essential for petroleum engineers, petrophysicists, and geoscientists working with well data.
