"Connecting with Zendesk's Help Center" matching MCP servers:

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

Enables AI assistants to interact with HubSpot CRM data, providing tools for managing contacts and companies, retrieving activity and conversations, and performing semantic search with vector storage and caching for improved performance.

Enables AI assistants to research and organize professional contacts, enrich profiles, sync inbox conversations, pull web context, and draft personalized outreach messages that require human approval before sending. All actions run under server-side daily and hourly safety thresholds to keep the connected LinkedIn account within safe limits.

Enables AI agents to manage e-commerce operations (products, carts, clients) through WhatsApp via Chatwoot, using MCP tools for inventory, cart, and customer management.

Enables natural-language queries about sales metrics, returning interactive charts inline in chat via MCP Apps with a markdown fallback for unsupported hosts.

An open-source MCP server connecting Claude to Filevine practice management platform. Access cases, contacts, documents, notes, tasks, and custom PI data from Claude with automatic rate limiting and audit logging.

A Model Context Protocol (MCP) server that connects LLMs to the Zendesk Support & Help Center APIs — with per-user OAuth 2.1 PKCE authentication and fine-grained tool visibility controls.

Connects AI assistants to Zendesk, enabling natural language queries over support tickets, help articles, and customer feedback.

Enables any MCP client — Claude, ChatGPT, Codex, Gemini, Antigravity, Muse — to work with the AirysChat platform: managing conversations, contacts, CRM, AI Agents, Meta Business Agent, WhatsApp templates/campaigns/flows, analytics reports, account administration, Help Center, and the Airys Platform API (api.airys.chat), from either a local install or a hosted URL.

MCP server that connects AI assistants to Five9 contact center, allowing management of campaigns, agents, lists, and statistics via natural language commands.

Enables AI assistants to answer growth questions in plain English by connecting to marketing and product data via 49 MCP tools.

Validates email deliverability, assesses domain credibility, and scores B2B leads from A-F to help prioritize outreach, with batch processing and a free tier.

Enables connecting NexWave or ERPNext sites to MCP clients, providing read-only access to users, companies, customers, items, sales orders, and documents under Frappe permissions.

A self-hosted Model Context Protocol server for GoHighLevel CRM, built for agencies. It enables connecting multiple sub-accounts, selecting tools per client, and issuing unique revocable MCP URLs.

Open-source MCP gateway connecting AI agents like Claude Desktop and Claude Code to SuiteCRM. 24 CRM tools over SSE with OAuth2/OIDC auth, multi-entity support, ACL enforcement, and Prometheus/Grafana observability.

Enables AI assistants to set up and troubleshoot LeadSync accounts by connecting Meta lead forms to Google Sheets, CRMs, and email, mapping fields, adding autoresponders, sending test leads, and investigating lead delivery.

Enables natural language customer and sales management by connecting AI assistants directly to CapsuleCRM, allowing users to search, create, and update CRM data via plain English commands.

MCP server connecting AI assistants to the Five9 contact center, enabling management of campaigns, agents, IVR flows, and reports via natural language.

Enables AI assistants to interact with HubSpot CRM data by creating and retrieving contacts, companies, activity, and conversations, while supporting semantic search over previously retrieved data. Built-in vector storage and caching help improve performance and work around API limitations.

Enables AI assistants to interact directly with HubSpot CRM data, including contacts, companies, activities, conversations, and semantic search over previously retrieved data. Built-in vector storage and caching help overcome API limitations and improve response times.