"A real-time voice and text AI assistant with Google Search integration and system control" matching MCP servers:

A Model Context Protocol (MCP) server that integrates Google Contacts with Claude, enabling contact management directly from your AI assistant.

MCP server that lets AI validate and create sales funnels (pipelines, stages, custom fields) in Kommo CRM, supporting multiple client accounts with explicit confirmation before writing.

Provides a unified context per contact across voice (NL Pearl v2) and custom WhatsApp/SMS channels, with MCP tools to resolve identity, retrieve timeline, upsert contacts, append interactions, manage signals, record call context, and suggest follow-ups.

Provides read-only EspoCRM access for AI assistants, enabling record retrieval and preparation of signed change sets without direct modification or deletion.

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.

Unifies CRM and productivity tool APIs behind a single interface, letting AI agents and developers create, update, delete, and list records across Zoho, HubSpot, Odoo, Google Sheets, Gmail, and Google Calendar without handling platform-specific schemas.

Enables LLMs to search and retrieve Autotask tickets, companies, and contacts using advanced semantic search and AI-powered reranking.

Enables Claude to manage Gmail, Google Calendar, and Google Contacts through a safety-first interface with soft-delete protections and draft-only email capabilities. Supports multiple Google accounts with comprehensive mutation logging and mandatory manual confirmation for destructive actions.

A local MCP server that enables managing Google Contacts via the People API through tools for listing, searching, getting, creating, updating, deleting, and counting contacts. It requires an externally stored OAuth token and confirms all write operations.

MCP server for Google Contacts - list, search, and manage contacts.

Provides interactive tools to explore AFAS customer data and employee leave information, including bubble charts, leave balance reports, and detailed leave cards.

Gives AI assistants access to Google Contacts, supporting listing, searching, creating, updating, and deleting contacts, as well as searching Google Workspace directories.

Connects and cleans data from business systems like CRM, billing, and support, then exposes a read-only MCP tool for an AI assistant to generate revenue-risk reports.

A remote MCP server for Google Contacts, deployed on Cloudflare Workers, that enables Claude to create, search, list, get, and update your Google contacts via the People API. Designed as a custom connector for claude.ai, it supports OAuth and can extract contact details from business card photos.

Exposes 104 Odoo tools across CRM, Sales, Inventory, Accounting, and Helpdesk, enabling natural-language control of an Odoo instance via a Telegram assistant with user-level authentication and multi-step orchestration.

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.

Enables Claude to interact with Jira, Salesforce, and n8n through MCP tools, allowing automated reading of Jira stories, deploying Salesforce metadata, and triggering n8n workflows.

MCP server enabling AI assistants to connect to Kula recruiting API for managing jobs, candidates, applications, webhooks, and more.

Manage Job using MCP: Manage Job, Candidates, Resumes, Salaries all within this one MCP tools It can solve problems like: You have 50 resumes to screen. Your AI assistant can reason about candidates, but it can't: Read PDFs/DOCX — The AI can't open binary files Extract structured data — Copy-pasting loses formatting, metrics, and context Compare at scale — No consistent scoring across candida