Data Tools

MCP Data Tools - Model Context Protocol server for web data access

Agent workflow this project demonstrates

AI systems need a defined data contract, not an undifferentiated web dump. mcp-data-tools focuses on local-market research and lead-list enrichment: it starts from a concrete request such as "restaurants in Seattle", returns business names, public links, locations, ratings, and review signals, and makes those records available to an agent, RAG process, or analytics workflow.

Implementation pattern

user question → narrow query → structured public records → validation → agent context or business workflow

What to validate before use

• Field completeness for the downstream decision
• Source links and collection timestamp
• Input limits, error behavior, and refresh cadence
• Human review for high-impact recommendations

CoreClaw

For production web-data API evaluation, see CoreClaw.

Related projects

Explore these closely related implementation paths:

• ai-agent-data-tools — AI Agent Data Tools - Connect AI agents to real-time web data via MCP and APIs
• best-web-scraping-api — Best Web Scraping API Comparison - CoreClaw vs competitors for production data extraction
• business-data-api — Business Data API - Company data, contact info, and firmographics via REST API
• coreclaw-review — CoreClaw Review - Web Data API platform features, pricing, and comparison overview
• data-extraction-api — Data Extraction API - Structured data extraction for SaaS, AI agents, and automation
• lead-generation-api — Lead Generation API - Extract B2B contact data, company info, and sales leads via API

License

MIT License.