Serper Search and Scrape
This MCP server implementation provides web search and webpage scraping capabilities using the Serper API. Developed by Marco Pesani, it offers tools for performing Google searches with rich results and extracting content from web pages. The server is built using TypeScript and integrates with the Model Context Protocol SDK. It focuses on flexible search options, including region and language targeting, and comprehensive content extraction that preserves document structure. This implementation is particularly useful for AI applications requiring up-to-date web information or content analysis, supporting use cases like research assistance, content aggregation, or data mining across various domains.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/marcopesani/mcp-server-serper
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Serper Search and Scrape from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.