Model Context Protocol (MCP) has unified integration with enterprise applications and SaaS platforms. Last year, Karini AI launched MCP Registry to centrally govern MCP connections used by enterprises, ensuring only trusted servers are accessible to AI builders.
Karini AI provides multiple agent endpoints: conversational assistants, webhooks for long-running asynchronous agents, search APIs to query Karini KnowledgeBases, and tracing APIs to monitor agent execution. Using Karini Agent 2.0 workflows, you can build complex multi-node, deep agent, or multi-agentic workflows within minutes and integrate them with your applications.
Many popular tools like Cursor, Claude, and Amazon QuickSuite support connections to remote MCP servers. Imagine building complex agents in the Karini platform and accessing them in your favorite IDEs or chat interfaces using the MCP protocol.
Introducing Karini's Native MCP Server
We're excited to announce Karini's native MCP Server, which exposes agents and APIs through standard MCP clients. With this launch, you can authenticate using MCP clients embedded within your favorite tools and access authorized endpoints:
1. List and query copilots - Copilots can expose multi-agentic workflows
2. Manage webhook agents - List long-running agents, invoke them, and query execution status
3. Access execution traces - Retrieve traces for specific executions to troubleshoot runtime issues
4. Search knowledge bases - Perform searches across Karini's native Knowledge Bases
These capabilities unlock powerful use cases while respecting API access controls.
See it in action in Amazon QuickSuite
See it in action in Cursor
See it in action in Claude
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