"Methods for Scraping Internet Data" matching MCP connectors:
Matching Connector Tools:
Live GPU compute & inference token price indices for AI agents — 591 reference indices across H100/A100/B200/B300 spot+on-demand, Claude/GPT/Llama token pricing, and more. Every value is methodology-versioned and citable via the /v1/verify handshake.
Remote MCP server for RunComfy Serverless API (ComfyUI): deployments and async inference.
Give your AI assistant access to real Helm chart data. No more hallucinated values.yaml files.
Deploy files, sites, and Dockerfile apps to live URLs + private drives for agent memory.
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
Video generation cost estimates across providers, with provenance, freshness, and confidence.
Custom domains API for SaaS: connect, verify, and manage customer domains, SSL, and DNS
MCP server for DNSimple — domains, DNS zone records, availability, pricing and contacts.
AI data-center design engine: size, validate & lay out Rubin-era data centers. Korea live.
MCP commerce surface for compute credits, API keys, GPU instances, and cloud storage.
Deploy websites from AI agents. Free at mcp.shipstatic.com. Install for the full toolset.
EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.
AWS cloud security scanners for AI agents — S3, IAM, EC2, EKS, RDS, CloudTrail, CloudWatch Logs
Provides tools to manage Memorystore for Valkey instances and backups.
Docker Hub MCP — wraps the Docker Hub v2 API (free, no auth required for public data)
AI first app deployment, unlike lovable or figma make, webslop.ai lets you or your ai of choice setup node.js apps or static sites in seconds. Designed be be the perfect place for you to deploy websites and apps super fast to the rest of the world and has a generous free tier.
The AWS Knowledge MCP server is a fully managed remote Model Context Protocol server that provides real-time access to official AWS content in an LLM-compatible format. It offers structured access to AWS documentation, code samples, blog posts, What's New announcements, Well-Architected best practices, and regional availability information for AWS APIs and CloudFormation resources. Key capabilities include searching and reading documentation in markdown format, getting content recommendations, listing AWS regions, and checking regional availability for services and features.
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
The BigQuery remote MCP server is a fully managed service that uses the Model Context Protocol to connect AI applications and LLMs to BigQuery data sources. It provides secure, standardized tools for AI agents to list datasets and tables, retrieve schemas, generate and execute SQL queries through natural language, and analyze data—enabling direct access to enterprise analytics data without requiring manual SQL coding.