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Research & Data

Tools and integrations for collecting, analyzing, and managing research-focused data. Includes features to process structured and unstructured datasets.

MCP ServersBrowse all →

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    Read any public web page as a clean AIDocument: Markdown plus title, description, and structure, with navigation and boilerplate stripped. Reads resolve through Lyrenth's shared cache, so it is far fewer tokens than raw HTML and origin-friendly.
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    MIT
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    Direct access to 40+ scraping and search tools. Extract structured data from Google (Search, Maps, Trends), Amazon, Airbnb, Social Media, and any web page directly into your AI agent.
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    Enables AI assistants to connect to eonik and access brand assets, competitor research, and ad performance facts, while drafting creative briefs and scene breakdowns without spending or making changes.
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    MIT
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    Gateway connector between LLM agents and world data, providing access to financial market prices, macroeconomic indicators, and news through a bundled endpoint catalog.
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    MIT
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    MCP server for the DAG Studio causal-inference engine, enabling AI agents to construct, analyze, and validate causal directed acyclic graphs (DAGs) through tools for analysis, data simulation, and code generation.
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    Apache 2.0
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    MCP server that provides AI-native access to BeVigil's OSINT API, enabling mobile app security research and asset discovery through tools for hosts, subdomains, S3 buckets, URLs, wordlists, and multi-step investigations.
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    MIT
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    An MCP server for querying the FDSN Web Service Event APIs of multiple seismological datacenters and retrieving earthquake information as JSON.
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    AGPL 3.0
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    This local MCP server keeps vulnerability intelligence, research scope, scanner results, evidence receipts, Bugcrowd VRT assessments, and report drafts in one SQLite ledger. It is built for authorized defensive research and does not scan, exploit, or submit reports.
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    The MCP server for AlphaForge — the agent-native quant CLI: write strategies in JSON, optimize with Optuna TPE, validate with walk-forward, export to TradingView Pine v6. This server lets your AI agent drive the whole pipeline over MCP.
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    Apache 2.0
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    MCP server enabling AI assistants to automatically perform carbon footprint modeling, product queries, and emission analysis via the Carbonstop Cloud API.
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    MIT
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    A zero-config, discovery-only Model Context Protocol server that exposes Scigantic's catalog of 5,000+ curated public scientific data archives with LLM-ready schema cards, enabling natural-language search, dataset inspection, file listing, and data-access code snippets across all scientific domains. Designed as a cross-domain launchpad for Kiro for Life Sciences and other stdio MCP clients.
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    MIT No Attribution
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    Provides tools to search and execute Code Ocean capsules and pipelines while managing platform data assets. It enables users to interact with Code Ocean's computational resources and scientific workflows directly through natural language interfaces.
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    Enables creating, managing, and analyzing live audience surveys on rifts.to directly from an AI client. Supports creating surveys, listing them, retrieving results, and closing surveys via natural language.
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    Zero-auth hosted MCP for AI builders: optimize/convert images (WebP/AVIF/JPEG), paste-ready SVG QR codes, plus cited Cleanor Labs data on device storage capacity and next-gen image-format savings. No API key or signup.
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    MIT
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    FalsifyLab Alpha is a data API + MCP server providing programmatic alpha access to AI agents (Claude / Cursor / any MCP-compatible client). Eight endpoints surface live crypto + US-equity research signals: • top_yield_farms — DefiLlama pools with emissions-stripped real APY, IL risk priced, oracle exposure flagged • hl_vault_leaderboard — Hyperliquid vault NAV, 30d return, max drawdown, follower
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    MIT
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    Allows searching and enriching companies, people, job postings, and social posts via the DataForB2B API, bringing lead generation and market intelligence into MCP-compatible clients like Cursor and Claude.
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    Enables AI assistants to interact with Databar.ai's data enrichment API, allowing discovery, configuration, and execution of data enrichments across hundreds of providers using natural language.
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