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Connects Outscraper for business discovery, maps intelligence, review analysis, and web extraction.
The available material is sparse, but the MCP appears to be an open-source MIT-licensed project with no declared required secrets or remote endpoints. The main concerns are its local code-execution capability and described access to Outscraper/web data, while the lack of README and maintenance details leaves it in a caution tier rather than high risk.
The materials explicitly state that no keys or environment variables are required; based on the provided facts, there is no visible credential collection, storage, or abuse requirement. Reassess if the actual runtime later asks for accounts or tokens.
The description says it connects AI agents to Outscraper for business discovery, maps intelligence, contact enrichment, and structured web extraction; such functions typically involve network requests and sending query data to external services. Although the declared remote host field is 'none', the functional description suggests external connectivity, so the actual destinations and transmitted data should be verified.
The objective checks mark this tool as executes-code, meaning it can run code or start processes locally; this is a common MCP capability and not high risk by itself. The materials do not show requests for unusually elevated system privileges or a suspicious execution chain.
The description includes search, review analysis, contact enrichment, and structured web extraction, indicating it may process user-supplied queries, web content, or business data. The materials do not specify which local files or directories it can access, and there is no clear sign of overbroad authorization, but the data-access scope is insufficiently documented and should be checked at install/runtime.
Positive factors include a public GitHub repository and an MIT open-source license, making the code in principle auditable and lowering supply-chain risk. However, adoption is 0 stars, maintenance status is unknown, and the README is absent, so verifiability and maturity are limited; cautious use is still recommended.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Outscraper MCP" yet — see the docs or source repo.
Use the Outscraper MCP to search for local businesses for “coffee shops in Xuhui District, Shanghai” and return name, address, phone, website, rating, and review count in a structured table.
A structured list of coffee shops with core business details and review metrics.
Use the Outscraper MCP to collect Google Maps reviews for these five competitor locations, summarize common positives, negatives, sentiment distribution, and provide improvement suggestions.
An analysis report with review themes, sentiment trends, and actionable recommendations.
Use the Outscraper MCP to enrich this company list with website, industry, location, contacts, and emails where available, and mark missing fields.
An enriched company and contact dataset with available fields and missing-value markers.
Scrape social profiles and Google results through MCP for research and lead generation.
Enable AI agents to search the web and extract useful page content.
Find prospect emails, verify contacts, and enrich lead data at scale.
Connect AI agents to the live web for search, scraping, screenshots, and monitoring.
Run real-time competitor, review, website, and market intelligence with AI.
Search, retrieve, and contribute global business directory data with agent-friendly outputs.