Integration & MCP for Smith.ai
Integrate and automate your Smith.ai workflows across 2,580 tools. Take full control—use your favorite LLM to orchestrate Smith.ai and make your data and tools truly work for you, not the other way around.
Communication
Boost Growth with Smith.ai in Client Engagement
Integrating Smith.ai via the Boost.Space MCP automates client communication workflows, removing operational barriers by centralizing data and streamlining processes. This empowers customer engagement teams by enhancing efficiency in call answering, scheduling, and lead qualification. With these improvements, businesses are prepared for true AI-readiness, allowing them to effectively manage and optimize their communication strategies.
Supported MCP tools
Connect insights. Empower action. With MCP, Smith.ai becomes the engine for truly collaborative work.
Can play scenarios
Can list scenarios
So you can execute these actions with Smith.ai MCP:
Watch new calls
Triggers when a new call summary is created.
Call a contact (virtual receptionist)
Adds a contact to the virtual receptionist outbound call queue.
Call a contact (outreach campaign)
Adds a contact to an outreach campaign. The contact will be called using the Outreach Campaign campaign cadence.
Make an api call
Performs an arbitrary authorized API call.
How to use MCP with Smith.ai
Create scenario with on-demand trigger
Generate your MCP API Key
Insert MCP API Key in your favourite LLM in instructions
Integrating Smith.ai with Boost.space MCP offers a comprehensive solution for streamlining customer engagement workflows. The integration automatically consolidates Smith.ai's AI-powered virtual receptionist data—such as call logs, scheduling details, and lead qualifications—into one centralized platform. This centralization facilitates efficient follow-ups and enhanced client communication by ensuring all data is readily accessible and organized. Additionally, Boost.space automates repetitive tasks, like updating CRM systems or dispatching follow-up actions post-call, thereby reducing manual effort and potential errors. By leveraging AI, the integration can predict optimal communication times based on past interaction data, enhancing response rates and client satisfaction. This synergy not only saves time but also optimizes resources, allowing businesses to focus more on strategic activities and less on operational logistics.
