Research

Research intent hub with 19 tools, 1 workflows, 4 guides, 1 skills and cross-entity pathways for implementation decisions.

intenttools 19skills 1workflows 1learn 4

Coverage Signals

Featured tools

2

Docs-ready tools

13

Install evidence

16

Usage evidence

17

Config evidence

16

Capability hints

16

  • Top tool signal: firecrawl-mcp-server
  • Workflow entry: MCP Research Automation
  • Guide entry: Best MCP Tools for AI Development in 2026

Tools

Tools

firecrawl-mcp-server

Firecrawl MCP Server is the official integration of Firecrawl's web scraping and search capabilities into the MCP ecosystem. It enables AI assistants to search the web, scrape individual pages (including JavaScript-rendered content), and extract structured data from websites. Editor's Review: This is one of the most capable MCP servers for web data retrieval. Firecrawl's strength is handling modern websites that rely on client-side JavaScript rendering—a common pain point with traditional HTTP-based scraping. The MCP integration makes these capabilities accessible to any MCP-compatible AI assistant. For AI research workflows that need to gather information from the live web, firecrawl-mcp-server is an essential tool. Configuration requires a Firecrawl API key, and rate limits depend on your subscription tier.

Tools

exa-mcp-server

Exa MCP Server provides AI-native web search capabilities to MCP-compatible assistants. Unlike traditional search APIs that return keyword-matched results, Exa uses neural search to understand query intent and retrieve semantically relevant content. Editor's Review: Exa is particularly valuable for AI research and discovery workflows where you need to find conceptually relevant information rather than exact keyword matches. The neural search approach surfaces results that traditional search would miss, making it excellent for exploratory research tasks. Setup is straightforward with an Exa API key. The server handles rate limiting and pagination automatically. For AI assistants that need to research topics, generate reports, or find relevant resources across the web, Exa MCP Server is a significant capability upgrade over basic keyword search.

Servers

browserbase/mcp-server-browserbase

Automate cloud-based browser interactions such as web navigation, data extraction, and form filling.

Servers

operative_sh/web-eval-agent

An MCP Server for autonomous web application debugging using browser agents, featuring web navigation, network traffic capture, console error collection, and end-to-end testing.

Servers

automatalabs/mcp-server-playwright

An MCP server for browser automation using Playwright, offering capabilities like web interaction, screenshot capture, and JavaScript execution in browser contexts.

Servers

hanzili/comet-mcp

A tool to connect to Perplexity Comet browser for agentic web browsing, deep research, real-time task monitoring, and MCP client integration with workflow automation support.

Servers

olostep/olostep-mcp-server

A web scraping, crawling, and search API that extracts content in Markdown/JSON, batch processes up to 10k URLs, and provides AI-powered answers with citations.

Servers

aparajithn/agent-scraper-mcp

A web scraping MCP server for AI agents, providing tools such as content extraction, structured scraping with CSS selectors, full-page screenshots via Playwright, link extraction, metadata extraction (OG/Twitter cards), and Google search. Includes a free tier with x402 micropay.

Servers

freema/firefox-devtools-mcp

Firefox browser automation tool using WebDriver BiDi for testing, scraping, and control, with support for snapshots, network monitoring, console capture, and screenshots.

Servers

genomoncology/biomcp

Biomedical research MCP server providing access to PubMed, ClinicalTrials.gov, and MyVariant.info, implemented in Python.

Skills

Workflows

Learn

Topic Playbook

  1. Start with firecrawl-mcp-server to validate core capability fit.
  2. Use workflow MCP Research Automation to operationalize the topic in a repeatable flow.
  3. Read Best MCP Tools for AI Development in 2026 for implementation context and guardrails.

Next Step

Start with a tool from this cluster, then jump to a workflow and learn guide to complete implementation.