mcp-runtime-guard
MCP ServerFreePolicy-based MCP tool call proxy
Capabilities7 decomposed
policy-based mcp tool call interception and validation
Medium confidenceIntercepts MCP tool invocations at runtime and validates them against declarative policy rules before execution. Implements a proxy pattern that sits between the MCP client and server, parsing tool call requests, matching them against policy conditions (tool name, arguments, caller identity), and either allowing, denying, or modifying the call based on policy evaluation. Uses a rule-matching engine to enforce fine-grained access control without modifying underlying tool implementations.
Implements MCP-specific policy enforcement as a transparent proxy layer rather than requiring tool-level modifications, using declarative policy rules to control tool access at the protocol level without touching underlying implementations
Provides MCP-native policy enforcement without forking or modifying tools, whereas generic API gateways lack MCP protocol awareness and tool-specific policy semantics
tool call argument validation and transformation
Medium confidenceValidates MCP tool call arguments against schema constraints and optionally transforms or sanitizes arguments before tool execution. Likely uses JSON Schema or similar validation to check argument types, ranges, and formats, with support for custom validation rules defined in policy. May include argument filtering (removing sensitive fields) or normalization (converting formats) based on policy directives.
Integrates argument validation directly into the MCP proxy layer, allowing policy-driven validation rules to be applied uniformly across all tools without modifying tool code, with support for both validation and transformation in a single policy rule
Validates arguments at the MCP protocol level before tool execution, whereas tool-level validation requires changes to each tool and lacks centralized policy enforcement
caller identity and context-aware tool access control
Medium confidenceEvaluates tool call permissions based on caller identity (user, model, application) and request context (source IP, timestamp, session). Implements identity-aware policy evaluation where rules can reference caller attributes and context metadata to make access decisions. Likely uses a context object passed through the MCP request to identify the caller and evaluate policies conditionally based on identity attributes.
Embeds caller identity and context evaluation directly into MCP policy rules, allowing fine-grained access control based on who is making the tool call rather than just what tool is being called, without requiring separate identity management infrastructure
Provides identity-aware tool access control at the MCP protocol level, whereas generic API gateways require separate identity providers and lack MCP-specific context awareness
policy rule definition and management
Medium confidenceProvides a declarative policy language or configuration format for defining tool access rules, validation constraints, and transformation logic. Likely uses a structured format (YAML, JSON, or custom DSL) to express policies as rules with conditions and actions. Includes mechanisms for loading, parsing, and evaluating policies at runtime, with support for rule composition and precedence.
Provides a dedicated policy definition layer for MCP tool access control, separating policy logic from code and enabling non-developers to manage tool access rules through declarative configuration
Offers MCP-specific policy language and management, whereas generic policy engines (e.g., OPA) require additional integration work and lack MCP protocol semantics
tool call audit logging and monitoring
Medium confidenceLogs all tool invocations (allowed, denied, modified) with metadata including caller identity, tool name, arguments, decision reason, and timestamp. Implements structured logging that captures the full context of each tool call decision, enabling audit trails and monitoring. Likely writes logs to stdout, files, or external logging services in a structured format (JSON or similar).
Integrates audit logging directly into the MCP proxy layer, capturing the full context of every tool call decision (allowed, denied, modified) with caller identity and policy evaluation details, enabling comprehensive audit trails without external instrumentation
Provides MCP-native audit logging with policy decision context, whereas generic logging requires separate instrumentation of each tool and lacks policy enforcement visibility
tool call denial and error handling
Medium confidenceRejects tool calls that violate policy rules and returns standardized error responses to the caller. Implements a denial mechanism that prevents tool execution and communicates the denial reason (policy violation, validation failure, access denied) back through the MCP protocol. Likely returns MCP error responses with structured error details and policy violation reasons.
Implements MCP-compliant error responses for policy violations, returning structured error details that communicate the denial reason to the caller while maintaining protocol compatibility
Provides MCP-native denial handling with policy violation context, whereas generic proxies return generic errors without policy-specific information
mcp protocol-aware proxy routing and request forwarding
Medium confidenceRoutes MCP requests through the proxy, parsing JSON-RPC messages, extracting tool call information, and forwarding validated requests to the underlying MCP server. Implements a transparent proxy that intercepts MCP protocol messages, applies policy evaluation, and forwards requests while maintaining protocol semantics. Handles both request and response routing, ensuring that tool responses are returned to the caller correctly.
Implements a transparent MCP proxy that intercepts and evaluates tool calls at the protocol level without requiring client or server modifications, using JSON-RPC parsing to extract tool information and apply policies before forwarding
Provides transparent MCP protocol-aware proxying, whereas generic HTTP proxies lack MCP semantics and require separate policy integration at the application level
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Best For
- ✓teams deploying MCP servers in multi-tenant or untrusted environments
- ✓developers building AI agents that need runtime safety guardrails
- ✓organizations requiring compliance-driven tool access control
- ✓developers building AI agents that accept user input and pass it to tools
- ✓teams needing to prevent injection attacks or malformed data from reaching tools
- ✓systems requiring argument normalization across heterogeneous tool implementations
- ✓multi-tenant AI systems where different users have different tool access levels
- ✓organizations with role-based access control (RBAC) requirements
Known Limitations
- ⚠Policy evaluation adds latency to every tool call — no caching mechanism for repeated identical calls
- ⚠Limited to MCP protocol semantics — cannot intercept or validate non-MCP tool invocations
- ⚠No built-in support for dynamic policy updates without server restart
- ⚠Policy rule syntax and expressiveness unknown from package metadata — may lack support for complex conditional logic
- ⚠Validation rules must be defined per-tool — no automatic schema inference from tool definitions
- ⚠No support for cross-argument validation (e.g., 'if arg A is X, then arg B must be Y')
Requirements
Input / Output
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Policy-based MCP tool call proxy
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