"Real-time NetEase web page scraping implementation" matching MCP servers:

Resolves a company domain to its LinkedIn company page URL. Lightweight enrichment tool for sales and prospecting workflows.

MCP server for scraping with declarative configs

An MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata for querying, modifying, and managing objects and records.

An MCP server implementation that integrates Claude with Salesforce, enabling natural language interactions with Salesforce data and metadata.

Enables interaction with Monobank personal accounts through MCP tools to fetch client information, account details, and transaction statements for specified time periods.

A read-only MCP server that enables users to analyze their real bank, credit card, loan, and brokerage data through Plaid. It provides financial analysis tools for transactions, balances, investments, liabilities, and debt while keeping all access tokens and data locally stored.

A server implementation that enables AI assistants to interact with HubSpot CRM data, allowing for seamless creation and management of contacts and companies, retrieval of activity history, and access to engagement data through natural language commands.

Enables comprehensive integration with Kommo CRM through 25 tools for managing leads, contacts, companies, tasks, events, and generating detailed analytics reports. Supports advanced workflow management, pipeline operations, and real-time performance tracking.

A Model Context Protocol implementation for the HubSpot API that provides a standardized interface for accessing and managing CRM data, including companies, contacts, deals, and other objects with comprehensive CRUD operations and association management.

Real-time CRM intelligence for Claude and other AI clients — map corporate ownership hierarchies, verify entity names and registered addresses, and detect duplicate records, directly in chat. No manual lookups, no spreadsheets, no messy data.

A Model Context Protocol server implementation for interacting with Salesforce through its REST API.

Enables AI assistants to track events, page views, user signups, and update user profiles in Mixpanel.

Real-time e-commerce analytics: visitors, Shopify/Stripe revenue attribution, funnels, and a live visitor feed. Agents can self-register a website with one no-auth POST and get a site-scoped read-only MCP token back.

Argorant MCP Server — give your AI agent direct access to 614M verified B2B contacts. Query by industry, role, geography, and 100+ filters, then export emails verified by a live SMTP probe at request time (catch-alls flagged, invalids free). OAuth-secured. Works with Claude, ChatGPT, Cursor, and any MCP client. Endpoint: https://mcp.argorant.com/mcp

Enables MCP clients to read Optimizely Data Platform data via the GraphQL API and read REST endpoints, covering customer profiles, lists, schema, real-time segments, recommendations, compliance status, and bulk exports. Each request carries its own ODP API key and region, so multiple clients and accounts can share one stateless server.

Enables comprehensive HubSpot CRM integration through the Model Context Protocol with 15+ tools for managing contacts, companies, and deals. Supports multiple transport protocols (HTTP, SSE, STDIO) with session management and real-time access to CRM data.

Enables AI assistants to integrate Amplitude analytics for tracking events, page views, user signups, user properties, and revenue.

Enables interaction with NocoBase CRM platforms via the FlowModels API for managing UI components and data collections. It allows users to perform CRUD operations, create menu structures, and build page layouts including tables and workflow automations.

Two MCP servers that give Claude and any MCP-compatible client natural-language access to Adobe Experience Platform, Adobe Journey Optimizer, and Real-Time CDP.

Enables Adobe Experience Platform and AEM content operations through a shared tool registry, exposing health checks, fragment search, sandbox management, dataset queries, and content fragment fetching via MCP and web interfaces.