"NestJS Framework for Building Backend Applications" matching MCP servers:

A Model Context Protocol server that integrates ClickFunnels with Claude Desktop, allowing users to list and retrieve funnels and contacts from their ClickFunnels account through natural language.

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.

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.

A Machine Conversation Protocol server that enables AI assistants to manage Google Contacts and search Google Workspace directories, providing tools for listing, creating, updating, and deleting contacts within your Google account.

Enables creating and managing user profiles with interactive elicitation capabilities that prompt users for missing required information. Demonstrates MCP's elicitation feature by validating profile data and requesting additional details when fields are incomplete.

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.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

A Model Context Protocol server that enables AI assistants like Claude to interact directly with Attio CRM data, supporting operations for companies, people, lists, and tasks through natural language queries.

Connects the Pipedrive API v2 to LLM applications, providing read-only access to CRM data including deals, contacts, and pipelines. It enables users to search and retrieve organization information, activities, and notes through natural language.

Provides comprehensive access to HubSpot's CRM API, enabling management of contacts, companies, deals, engagements, and associations with support for batch operations and advanced search capabilities.

Provides standardized access to HubSpot CRM API for managing contacts, companies, deals, leads, engagements, and associations with support for batch operations and advanced search capabilities.

Provides standardized access to HubSpot's CRM API for managing contacts, companies, deals, engagements, and other CRM data through comprehensive CRUD operations, batch processing, and advanced search capabilities.

MCP server for the Infomaniak Contacts API, enabling listing and searching contacts across address books.

An MCP server for the EaseCation user center that provides admin and user tools to interact with UC backend services.

MCP server for Rule.io marketing automation platform. Enables managing subscribers, tags, campaigns, custom fields, and automations through the MCP interface.

Reference MCP server for the AudienceScore protocol: query a vendor's audience score (percent of verified thumbs-up over receipt-gated reviews) and get back a signed, recomputable score manifest an agent can verify without trusting the server.

A public demo MCP server that exposes Centric RM tools (list contacts, brief, draft, radar, temperature check) with a frozen fictional cast, safe for registry listing.

Find and enrich the right people from 750M professional profiles. Search by role, seniority, skills, industry, and location in plain English. Pull profiles with work history, education, and seniority, then see who's likely to change jobs next with Next Move Signal. Built for AI products and agents: sourcing candidates, building lead lists, and mapping markets and accounts.

Enables AI-driven data quality operations such as validation, enrichment, and deduplication for customer data fields including email, address, phone, and LinkedIn profiles through natural language interactions.