Synqly Mesh

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Synqly Mesh Unified API empowers cybersecurity vendors, IT solution providers, and MSSPs to deliver seamless integrations, accelerate customer value, and focus on building products Instead of building and maintaining the integrations critical to business success and that customer demand as one-off projects, vendors and service providers can connect once to a Synqly Unified API and gain access to an entire category of security, IT, and productivity tools. The Synqly Mesh platform acts as a universal translation layer, normalizing data across different APIs, query languages, and schemas while maintaining full bidirectional data flow. With Synqly Mesh Unified API, vendors accelerate time to market, reduce engineering costs, and scale integrations reliably without sacrificing performance or security. Faster time to market: Connect once and unlock access to entire product categories in days, not months. Reduced engineering burden: Eliminate ongoing integration maintenance and reduce the cost of supporting diverse APIs. Ecosystem scale: Build scalable, standards-based integrations across security, IT, and productivity platforms. Reliability & compliance: Ensure integrations stay live with proactive monitoring, normalization to OCSF standards, and enterprise-grade security practices.

Synqly MCP (Model Context Protocol)

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Synqly Model Context Protocol (MCP) is the first MCP Server purpose-built to support AI agents in security and IT operations, delivering a structured, secure interface that allows agentic systems to stream data, enrich context, and take real-time action across the largest cybersecurity integration ecosystem. Synqly’s unified API enables vendors to integrate with entire product categories in days. Synqly MCP takes it further, offering access to the largest ecosystem of security and IT operations solutions, with integrations possible in just hours. Integration setup, data access, and automation are now accessible to AI assistants through a single protocol, accelerating time-to-value and enabling collaboration between previously siloed systems. With SynqlyMCP, agentic AI can reason across integrations, act in real time, and adapt to new signals on demand, without custom code. Synqly MCP sits between AI systems and the integration ecosystem, acting as a universal access layer. With support for bi-directional streaming, agent-driven queries, and dynamic control, Synqly MCP unlocks proactive automation, autonomous response, and continuous optimization across the tech stack. Integrated platforms become more than data sources; they become intelligent surfaces for action, discovery, and control.

Synqly Embedded

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Synqly Embedded is a self-hosted unified API platform that allows cybersecurity and IT operations vendors to package and deploy Synqly's full integration engine directly inside their customers' infrastructure. Designed for secure, regulated, and air-gapped environments, Synqly Embedded enables OEM integrations that run entirely within a customer's own boundary, with no outbound internet connection required. Synqly Embedded packages the same unified API layer used in Synqly's cloud platform, supporting connectors across endpoint security, SIEM, vulnerability management, identity and access management, asset management, ticketing, cloud security, and data storage. Vendors write one code path and deploy to any topology: self-hosted Kubernetes clusters, fully disconnected air-gapped environments, hybrid networks with egress-only runners, or managed private SaaS instances dedicated per customer or region. Deployment is handled through a Helm chart for any Kubernetes-compatible cluster. Synqly Embedded supports PostgreSQL and CockroachDB for management configuration, and integrates with external key management systems, including AWS KMS, GCP KMS, Azure Key Vault, and HashiCorp Vault Transit, to keep encryption keys separated from the data they protect. This architecture supports FedRAMP-friendly postures and helps vendors serve high-security clients such as government agencies and financial institutions. For engineering teams, Synqly Embedded eliminates the need to build separate integration paths for on-premises or regulated deployments. The same connectors, OCSF data normalization logic, and API contracts available in the cloud are also available in the embedded deployment, reducing duplication of effort and accelerating time to market. For product and sales teams, Synqly Embedded turns on-premises and regulated requirements from deal-blockers into a differentiator. Vendors can say yes to customers in government, defense, financial services, and healthcare who require data residency, network isolation, or strict compliance controls, without custom engineering. Synqly Embedded supports Synqly MCP (Model Context Protocol), bringing AI agent capabilities inside the customer boundary so AI agents can read signals and take actions locally through the unified API. Key capabilities include self-hosted Kubernetes deployment via Helm, air-gapped and fully disconnected environment support, hybrid network support with egress-only execution, external KMS integration, optional Connect UI and Management UI, OCSF-compatible data normalization, bidirectional connector APIs, and integration health monitoring.