Salt Security, the leader in API security, today announced the launch of the Salt Model Context Protocol (MCP) Server, giving enterprise teams a novel access point of interaction with their API infrastructure, leveraging natural language and artificial intelligence (AI). Built on the open MCP standard, Salt’s MCP Server enables AI agents to discover, understand, and analyze API behavior with contextual awareness and enterprise-grade precision.
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Today’s AI-driven applications demand faster, smarter, and more secure ways to access and interact with organizational data. Enter the MCP Server—a breakthrough that allows AI agents to query internal systems safely and contextually, without blindly scraping data or exposing backend architectures. An MCP server acts as an intelligent gateway, translating natural language prompts into authorized, structured queries while enforcing strict security, governance, and usage policies.
For API security, the rise of MCP servers is critical. They create a controlled interface between AI agents and enterprise APIs—ensuring that API endpoints are not blindly exposed, over-permissioned, or misused by autonomous systems. Without an MCP server, APIs risk becoming a hidden attack surface for AI-driven reconnaissance, data leaks, or abuse.
The impact on API ecosystems will be massive. Industry analysts estimate that AI agent-driven requests could increase API traffic by 3x to 10x over the next few years, as every prompt, conversation, and automated task generates new API calls behind the scenes. Organizations must prepare not just for more API traffic—but for a new kind of automated, continuous API consumption that traditional security tools weren’t built to handle.
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Salt’s MCP server creates a personal ChatGPT experience for our customers with powerful new capabilities such as:
- Contextual API Search: Contextual search across their entire API inventory rather than a limited keyword based search.
- API Explainer: Explain the use and functionality of each API in your environment so security teams can be more independent.
- Posture Gap Contextual Search and Analysis: Allow security teams to identify API posture gaps and misconfigurations in a free form search.
- Remediation Guidance: Offers AI-driven, actionable recommendations to mitigate high risk vulnerabilities.
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