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Skyvia has introduced its MCP Server, a no-code service that allows AI assistants to securely connect with live business data across platforms such as Salesforce, Google Sheets, and SQL databases, enabling real-time insights and actions within enterprise systems.
Skyvia has unveiled its MCP Server, a service designed to enable AI assistants to connect securely and in real time with live business data across a wide array of platforms. By leveraging the open Model Context Protocol (MCP), this service provides a no-code solution for integrating AI tools with data sources such as CRM, ERP, databases, and spreadsheets, including prominent applications like Salesforce, HubSpot, Google Sheets, SQL Server, and PostgreSQL.
The MCP Server is engineered to simplify the complexities inherent in data integration by handling backend tasks such as API management, schema adjustments, pagination, and rate limiting. This allows teams to expose their data to AI assistants with minimal setup, using an intuitive wizard that requires no programming knowledge or API scripting. According to Oleksandr Khirnyi, Chief Product Officer at Skyvia, the service empowers enterprises to grant AI agents not just access to data but also the ability to take direct actions within business systems, such as creating new records and managing follow-up tasks. This dual capability is aimed at driving faster, data-driven decision-making and operational efficiencies.
Security and control are central to the MCP Server’s design, offering safeguards like IP allowlists, user authentication, and encryption to protect sensitive company information. Given that MCP endpoints represent data sources as executable functions discoverable by AI agents, these measures ensure that real-time queries and actions occur within governed parameters. The service supports over 200 cloud applications and databases, enabling seamless, bi-directional interaction with a broad ecosystem of business tools.
The underlying technology standard, Model Context Protocol, has been gaining traction for streamlining the integration of large language models (LLMs) with external systems and data. MCP positions data sources as “tools,” allowing AI to execute functions securely and uniformly across disparate platforms. Skyvia’s MCP Server exemplifies this approach by enabling AI assistants such as Claude to query live business data, generate reports and insights on demand, and execute workflow tasks—all through natural language interfaces.
Other companies are also leveraging MCP to enhance enterprise AI functionality. Wrike, for example, has introduced its own MCP Server empowering AI agents to interact specifically with live work management data. This allows AI assistants to create tasks, schedule meetings, and monitor project risks in real time, directly improving team productivity. Meanwhile, Explorium highlights MCP’s ability to integrate AI with live company data for applications ranging from prospecting to automation, reinforcing the protocol’s role in versatile AI-data connectivity.
Skyvia’s release of MCP Server thus arrives amid a broader industry movement driving AI integration deeper into core enterprise operations through real-time, secure, and actionable data access. By abstracting technical barriers such as API complexity and providing no-code tools, Skyvia positions its MCP Server as a practical solution for organisations seeking to harness AI’s full potential across multiple business domains swiftly and securely.
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Source: Noah Wire Services
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