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Scrapeless (Google Search)

Scrapeless MCP Server provides a bridge to the Scrapeless API, enabling AI assistants like Claude to perform Google searches with advanced query capabilities. Built with TypeScript using the Model Context Protocol SDK, it exposes a 'google-search' tool that supports customizable parameters including query text, country code, and language preferences. The server authenticates with the Scrapeless API using environment variables and formats search results as structured text responses. This implementation is particularly valuable for AI assistants that need to retrieve current web information without requiring users to switch context to a separate search interface.

Cognium trust score

92%

Tier

Verified

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/scrapeless-ai/scrapeless-mcp-server
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Scrapeless (Google Search) 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"