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Best Data & Research Skills for Claude Code & AI Agents

Compare the top-rated Data & Research skills, MCP servers, and automation tools for Claude Code and AI agents. We rank these tools using real-world installation metrics and GitHub star popularity, providing developer teams with transparent, verified signals for safe workspace integration.

Data from the 2026-09-07 edition | methodology pulse-v1

Ranked by GitHub Stars

These tools do not have active install registry tracking and are ranked based on open-source community validation on GitHub.

RankToolOwnerTypeGitHub StarsLast Commit
#1FirecrawlmendableaiTool178K2026-09-08
#2Crawl4AIunclecodeTool82K2026-09-07
#3ScrapyscrapyRepository64K2026-09-07
#4Meilisearch Open-Source EnginemeilisearchTool59K2026-09-07
#5Pandas Data Analysis Librarypandas-devTool50K2026-09-08
#6DuckDB Analytical DatabaseduckdbTool41K2026-09-07
#7Polars Fast DataFrames Enginepola-rsTool40K2026-09-08
#8Selenium WebDriver EngineSeleniumHQTool34K2026-09-08
#9changedetection.iodgtlmoonTool34K2026-09-04
#10ScrapeGraphAIScrapeGraphAIRepository31K2026-09-07
#11CheeriocheeriojsTool30K2026-09-08
#12Typesense Fast Search EnginetypesenseTool27K2026-09-01
#13CrawleeapifyRepository26K2026-09-07
#14Colly Fast Go Scraping FrameworkgocollyTool26K2026-09-02
#15Hugging Face Datasets LibraryhuggingfaceTool22K2026-09-07
#16SpiderFootsmicallefTool22K2026-04-13
#17KatanaprojectdiscoveryTool17K2026-09-07
#18theHarvesterlaramiesTool17K2026-09-07
#19Newspaper3kcodelucasTool15K2026-08-31
#20Playwright Python AutomationmicrosoftTool15K2026-09-03
#21dbt Analytics Engineering Tooldbt-labsTool14K2026-09-08
#22OpenSearch Suite Engineopensearch-projectTool14K2026-09-07
#23Jina Readerjina-aiTool12K2026-05-22
#24DatasettesimonwTool11K2026-09-02
#25Crawlee for PythonapifyRepository9.5K2026-09-08
#26AutoScraperalirezamikaRepository7.9K2026-07-29
#27Kaggle APIKaggleTool7.5K2026-08-21
#28TrafilaturaadbarTool6.8K2026-08-28
#29Exa MCPexa-labsMCP Server5.0K2026-08-21
#30Synthetic Data Vaultsdv-devTool3.6K2026-09-07
#31Distilabelargilla-ioTool3.4K2026-09-07
#32HeritrixinternetarchiveTool3.3K2026-09-02
#33Apache NutchapacheRepository3.3K2026-09-04
#34Tavily MCPtavily-aiMCP Server2.4K2026-09-03
#35YData SyntheticData-Centric-AI-CommunityTool1.7K2026-09-03
#36SerpApi Python ClientserpapiRepository7552026-08-18
#37Apify SDK for PythonapifyRepository1752026-09-07

Tool Eligibility & Verification

To maintain listing integrity, a tool must resolve to an active, non-archived public GitHub repository with a push within the last six-month window. It must also have at least 150 GitHub stars, except when published by verified first-party publishers (such as Anthropic, Google, Vercel, or Microsoft). Cheatsheets, awesome-lists, and boilerplates are excluded.

Frequently Asked Questions

How are the best Data & Research tools ranked?

We rank tools using verified install counts from developer workspace telemetry where available. For newer packages or those not yet reporting to registries, we use GitHub stars to compare developer adoption.

Are these Data & Research MCP servers safe to run?

Every tool in the registry undergoes automated checks for repository existence, commit recency, and basic project metadata. For detailed safety audits, please review individual safety report pages.

Can I add a new tool or MCP server to this category?

Yes. Open-source developers can submit their tools. If the repository is public, active, has at least 150 stars (or is from a verified first-party publisher), it will be added in our next database synchronization.

What is the difference between verified installs and GitHub stars?

Verified installs represent real-world installations captured in developer workspaces. GitHub stars measure social validation and interest from the open-source community.