exa-mcp-server and web-scout-mcp

These are direct competitors offering overlapping web search and content extraction functionality, though Exa's significantly higher adoption (3,985 vs 122 stars) and commercial backing likely make it the preferred choice for production use cases.

exa-mcp-server
89
Verified
web-scout-mcp
47
Emerging
Maintenance 25/25
Adoption 20/25
Maturity 25/25
Community 19/25
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 12/25
Stars: 3,985
Forks: 302
Downloads: 64,323
Commits (30d): 53
Language: TypeScript
License: MIT
Stars: 122
Forks: 11
Downloads:
Commits (30d): 0
Language: JavaScript
License: Apache-2.0
No risk flags
No Package No Dependents

About exa-mcp-server

exa-labs/exa-mcp-server

Exa MCP for web search and web crawling!

Implements an MCP (Model Context Protocol) server that exposes Exa's search APIs—including specialized code search and company research—via HTTP transport to integrate with AI assistants and code editors (Cursor, VS Code, Claude Desktop, etc.). Offers both basic tools (web search, code context, page crawling) and advanced filtering capabilities, with optional Claude Skills for domain-specific workflows like competitor analysis. Deploys as a hosted endpoint or npm package, requiring only an API key for authentication.

About web-scout-mcp

pinkpixel-dev/web-scout-mcp

A powerful MCP server extension providing web search and content extraction capabilities. Integrates DuckDuckGo search functionality and URL content extraction into your MCP environment, enabling AI assistants to search the web and extract webpage content programmatically.

Implements parallel content extraction from multiple URLs with built-in rate limiting and memory optimization to handle large-scale operations reliably. Communicates via stdio transport with automatic bootstrapping, compatible with Claude Desktop, Cursor, and other MCP clients that support Node.js ≥18. Exposes two core tools—DuckDuckGoWebSearch for privacy-focused queries and UrlContentExtractor for extracting clean text from web pages—both designed for seamless AI assistant integration.

Scores updated daily from GitHub, PyPI, and npm data. How scores work