Open-source proxy mcp-bastion tackles MCP reliability and security gaps for AI agents

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As AI agents increasingly rely on the Model Context Protocol (MCP) to access tools in production, two critical weaknesses have emerged: unstable server connections that silently drop capabilities, and security threats like tool-definition swaps and hidden malicious instructions in tool descriptions. An open-source proxy called mcp-bastion has been released to address both issues without requiring changes to existing client code. The tool sits between MCP clients and servers, adding auto-reconnect logic, health checks, and agent-facing control tools to handle connection failures. On the security side, it introduces trust-on-first-use tool pinning to block unauthorized definition changes, heuristic poisoning detection, and cross-server shadowing alerts. It also logs every tool call as a structured, optionally tamper-evident audit event mapped to NIST AI RMF and OWASP LLM Top 10 frameworks, and is available under the Apache-2.0 license on GitHub.

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