"A server for finding product reviews based on a product or company name" matching MCP servers:

Enriches domains into full company profiles with firmographics and buying signals.

An MCP to give AI agents extensive knowledge of your personal finances and control of your budgeting.

Provides read-only access to the Planning Center People API, enabling natural language queries for people, households, background checks, and lists.

An MCP adapter that maps Coffee Company B2B HTTP APIs to MCP tools, allowing AI agents to query member information, benefits, coupons, and payment statuses. It enables seamless integration for AI assistants to manage coffee-related customer assets and loyalty details through natural language.

Enables Claude to access and manage a travel company's customer data, trip history, and information requests. Supports searching customers, querying trips by destination or date, and tracking customer inquiries through natural language.

A Model Context Protocol server for Hatch API integration that provides tools for finding and verifying contact information including emails, phone numbers, LinkedIn profiles, and company data.

Transforms scattered customer feedback from sources like Slack, Zoom, and JIRA into actionable product insights and AI-generated PRDs. It features over 50 tools for semantic clustering, sentiment analysis, and VOC-based prioritization to streamline product management workflows.

This MCP server connects clients with Shopify store data, enabling retrieval of product and customer information via exposed tools.

Read-only access to a Shopify store over the Admin REST API. Search orders by status, date range or customer email; check inventory by product title or ID; look up customers by email, name or phone; and generate sales summaries. Four read-only tools, no write access. Published on npm as @buildwithabid/shopify-mcp-server. TypeScript, MIT.

Enables AI agents to interact with Salesforce CRM data by executing SOQL queries and managing records. It provides tools for object metadata discovery and record operations, specifically optimized for Heroku deployment.

Provides deterministic mock customer health, product usage, and recommended playbook data via three MCP tools for a Customer Success Orchestrator demo.

Enables AI agents to safely operate HubSpot CRM contacts, deals, and pipelines via MCP, with caching, idempotency, audit trails, and robust error handling.

Unified MCP server combining Hunter.io email finding with Apollo company intelligence for B2B lead enrichment.

An MCP server that provides AI agents with ICP Triangulation Framework™ for scoring prospects across firmographics, behaviors, and growth signals, plus RFM analysis and pipeline health scoring, with optional HubSpot integration.

Enables Claude Desktop to answer natural-language questions about customers by exposing search, profile, order history, status filter, and spend statistics tools backed by local mock data, with a single-file swap path to Oracle AI Agent Studio later.

Enables management of Kylas CRM lead operations, including creating leads, searching and filtering records, and resolving user, product, or pipeline IDs. It provides specialized tools for monitoring idle leads and accessing lead schema instructions through natural language.

Enables AI assistants to enrich contacts and build audiences via the YourICP API. Provides tools to set an API token, submit contact lookups by email or LinkedIn URL, and poll for enrichment results.

Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.

Revenue intelligence MCP server: RFM analysis, 14.5-point ICP scoring, pipeline health scoring. Embeds Artefact Formula methodology. HubSpot integration.

Enables AI agents to verify email addresses, clean lists, run bulk verification jobs, and manage a Verifly account through natural language, without writing HTTP calls.