List of Amplemarket Integrations

This is a list of platforms and tools that integrate with Amplemarket. This list is updated as of June 2026.

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    Slack Reviews & Ratings

    Slack

    Salesforce

    Unify your team, streamline collaboration, and boost productivity effortlessly.
    Slack is a workplace collaboration platform that connects teams, tools, data, workflows, and AI agents in one conversational workspace. It is built around channels, where people can organize discussions by project, department, customer, workflow, or business priority. The platform helps teams communicate through messaging, huddles, clips, files, canvases, lists, Slack Connect, and shared workspaces with external partners. Slackbot brings AI into the flow of work by helping users search company knowledge, summarize conversations, prepare for meetings, analyze documents, create briefs, schedule meetings, and take action across connected apps. Slack’s AI features use business context from conversations, files, channels, Salesforce data, and approved integrations while respecting permissions and access controls. Teams can use Slack to work with agents such as Agentforce, Claude, GitHub Copilot, and other connected AI tools. Workflow Builder allows both technical and non-technical users to automate recurring processes such as stand-ups, approvals, reminders, project updates, and operational alerts. Slack’s integration ecosystem connects with apps such as Google Drive, Salesforce, GitHub, Zoom, Asana, Box, Workday, Vercel, ChatGPT, and many others, allowing teams to bring scattered work into one place. Enterprise search helps users find files, decisions, messages, customer records, and historical context without digging through separate systems. Slack also supports secure external collaboration through Slack Connect, making it easier to communicate with customers, vendors, partners, and clients. With AI assistance, real-time communication, workflow automation, enterprise integrations, and secure collaboration, Slack helps organizations reduce silos and run more of their business from a single platform.
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    Guideflow Reviews & Ratings

    Guideflow

    Guideflow

    Create personalized interactive demos effortlessly with quick customization.
    Easily capture your website or application in just a few clicks through your browser. Simply follow the steps as if you were performing the task for yourself, click the finish button, and just like that, an interactive guide or demo is generated for you. You can then enhance your demo with our user-friendly plug-and-play builder, which lets you add notes, modify branding colors, and customize images, logos, text, and even graphs. Every element of your interactive demo can be tailored to meet the needs of individual leads, creating a more personalized experience. With our advanced no-code editor, you have the flexibility to change any text, image, or graph, as well as the option to hide or blur specific components as necessary. After your guide is complete, you can share it using public links or embed it on your website, within emails, in Notion, and more. Additionally, you can promote it through various social media platforms like LinkedIn and Twitter or incorporate it into your advertising efforts. This adaptability not only allows you to effectively reach your audience but also fosters deeper engagement with them. Moreover, the entire process is designed to save you time while maximizing the impact of your demos.
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    Model Context Protocol (MCP) Reviews & Ratings

    Model Context Protocol (MCP)

    Anthropic

    Seamless integration for powerful AI workflows and data management.
    The Model Context Protocol (MCP) serves as a versatile and open-source framework designed to enhance the interaction between artificial intelligence models and various external data sources. By facilitating the creation of intricate workflows, it allows developers to connect large language models (LLMs) with databases, files, and web services, thereby providing a standardized methodology for AI application development. With its client-server architecture, MCP guarantees smooth integration, and its continually expanding array of integrations simplifies the process of linking to different LLM providers. This protocol is particularly advantageous for developers aiming to construct scalable AI agents while prioritizing robust data security measures. Additionally, MCP's flexibility caters to a wide range of use cases across different industries, making it a valuable tool in the evolving landscape of AI technologies.
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