Fetch and extract information from websites automatically
Example: Research competitor pricing, scrape product reviews, monitor news mentions
Automate 5-10 hours/week of manual web research
Track website changes, new content, price updates
Example: Monitor competitor blog for new posts, track stock availability, watch for pricing changes
Stay informed without manual checking, never miss important updates
Extract structured data from multiple websites
Example: Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data
Build datasets 100x faster than manual copying
Interact with services that don't offer APIs
Example: Check form submissions, validate website functionality, test user flows
Automate interactions with any website, even without API
Amplitude
MCP server for Amplitude — enables Claude to interact with Amplitude data and workflows.
SimilarWeb
MCP server for SimilarWeb — enables Claude to interact with SimilarWeb data and workflows.
Egnyte
MCP server for Egnyte — enables Claude to interact with Egnyte data and workflows.
Figma
MCP server for Figma — enables Claude to interact with Figma data and workflows.
BigQuery
MCP server for BigQuery — enables Claude to interact with BigQuery data and workflows.
Box
We evaluated Gmail against two servers with overlapping tools; this profile had the clearer scope statement.
Gmail has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Gmail has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Gmail surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Gmail benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Gmail is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired Gmail into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Gmail has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Useful MCP listing: Gmail is the kind of server we cite when onboarding engineers to host + tool permissions.
Gmail is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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MCP server for Gmail — enables Claude to interact with Gmail data and workflows.
Select a client to integrate this server.
Manual configuration
{
"mcpServers": {
"gmail": {
"type": "http",
"url": ""
}
}
}Gmail MCP server for Claude integration. Enables AI assistants to interact with Gmail data and workflows.
Gmail is an official MCP server included in Anthropic's knowledge-work-plugins repository. It enables Claude to interact with Gmail through the Model Context Protocol. Protocol: HTTP. Endpoint: configured per environment. Used in plugins: customer-support, design, engineering, enterprise-search, finance, human-resources, legal, marketing, operations, product-management, productivity, sales, small-business.
Add the following to your .mcp.json file to connect Claude to Gmail. No local installation required — this is a remote HTTP server.
README content is unavailable from source data for this server.
Open GitHub repository →Time estimate: 20-40 minutes including configuration and testing
Prerequisites
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ Use when
Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.
✗ Avoid when
Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.
MCP server for Box — enables Claude to interact with Box data and workflows.