MCPFast / Tools / Policy-as-code enforcement and observability for MCP tool calls
This tool enforces policies for MCP tool calls, ensures cryptographic integrity of agent sessions, and provides a full audit trail.
View on GitHub→This tool provides robust policy-as-code enforcement and observability for your MCP tool calls. Designed for developers building with AI agents, it ensures that your agent interactions adhere to defined security and operational policies. By integrating directly with MCP tool calls, it offers granular control and visibility into agent behavior, enhancing the reliability and security of your AI applications.
This utility acts as a gatekeeper and monitor for your MCP tool calls. It intercepts tool calls made by your AI agents and evaluates them against a set of predefined policies. If a tool call violates a policy, it is blocked. Beyond enforcement, it meticulously logs all tool call attempts, successful or failed, creating a comprehensive audit trail. This allows for detailed analysis of agent activity and helps in debugging and security investigations. Furthermore, it verifies the cryptographic integrity of agent sessions, ensuring that communication channels are secure and untampered.
This tool is essential for AI developers, ML engineers, and security professionals working with MCP-based AI agents. If you are building applications that require strict control over how AI agents interact with external tools, need to ensure the security and integrity of agent sessions, or require detailed logs for auditing and compliance, this tool is designed for you. It is particularly valuable for projects where security, reliability, and accountability are paramount.