@pshkv/mcp-scanner
MCP ServerFreeSINT MCP Security Scanner — analyze MCP server tool definitions for risk
Capabilities6 decomposed
mcp server tool definition static analysis
Medium confidenceParses and analyzes MCP (Model Context Protocol) server tool definitions to extract schema, parameters, and capabilities without executing the server. Uses AST-like traversal of tool manifests to build a semantic model of available functions, their input/output contracts, and permission requirements for downstream security evaluation.
Purpose-built for MCP protocol semantics rather than generic API scanning; understands MCP-specific tool metadata patterns and integrates with MCP server lifecycle
Specialized for MCP servers vs. generic API security scanners that lack MCP protocol awareness and context-specific risk patterns
risk classification and severity scoring for tool capabilities
Medium confidenceEvaluates extracted tool definitions against a configurable risk taxonomy (likely OWASP-aligned or custom policy rules) to assign severity scores and risk categories. Implements pattern matching on tool names, parameters, and descriptions to detect high-risk operations (file system access, network calls, credential handling) and generates a scored risk report for policy decision-making.
Integrates SINT (Security Intent) framework for MCP-specific risk patterns; likely includes rules for common dangerous MCP tool patterns (e.g., arbitrary code execution, credential exposure via tool parameters)
Purpose-built risk taxonomy for MCP tools vs. generic API security scoring that doesn't understand agent-specific threat models
policy-based tool access gating and decision engine
Medium confidenceImplements a policy evaluation engine that takes risk classifications and applies configurable allow/deny/require-approval rules to determine whether an LLM agent should be permitted to call a specific tool. Supports policy composition (e.g., 'block all file system tools', 'require approval for network calls') and integrates with MCP server request interception to enforce decisions at runtime.
Integrates directly with MCP server request pipeline for real-time gating; supports context-aware policies (agent identity, user role, tool category) rather than static blocklists
Operates at MCP protocol layer for native integration vs. external proxy-based gating that adds latency and requires protocol translation
tool parameter validation and schema enforcement
Medium confidenceValidates tool invocation parameters against extracted MCP tool schemas to detect parameter injection, type mismatches, and constraint violations before execution. Implements JSON schema validation with custom rules for dangerous parameter patterns (e.g., shell metacharacters in command parameters, file paths outside allowed directories) and generates detailed validation reports.
Combines JSON schema validation with MCP-specific parameter risk patterns; includes built-in rules for common injection vectors in agent tool calls (shell metacharacters, path traversal, SQL injection signatures)
MCP-native validation vs. generic JSON schema validators that lack agent-specific threat context and injection pattern detection
audit logging and compliance reporting for tool access
Medium confidenceRecords all tool access decisions (allowed, denied, approved) with context (agent identity, user, timestamp, tool name, parameters, risk classification) to an audit log. Generates compliance reports summarizing tool usage patterns, policy violations, and high-risk tool invocations for security review and regulatory compliance (SOC 2, HIPAA, etc.).
Integrates audit logging directly into MCP request pipeline; captures full context (agent identity, parameters, risk score, policy decision) in structured format for compliance and forensic analysis
Native MCP integration for complete audit trail vs. external logging that may miss context or require manual correlation of events
configurable risk policy rules and custom rule authoring
Medium confidenceProvides a rule engine for defining custom risk classification and access control policies using a declarative configuration format (likely YAML or JSON DSL). Supports rule composition, conditional logic (e.g., 'block tool X if parameter Y contains Z'), and integration with external policy sources. Enables teams to define organization-specific security policies without code changes.
Declarative rule engine designed for MCP-specific threat patterns; supports context-aware rules (agent identity, tool category, parameter content) without requiring code changes
Declarative policy configuration vs. hard-coded policies that require code changes and redeployment for policy updates
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
Related Artifactssharing capabilities
Artifacts that share capabilities with @pshkv/mcp-scanner, ranked by overlap. Discovered automatically through the match graph.
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agentseal
Security toolkit for AI agents. Scan your machine for dangerous skills and MCP configs, monitor for supply chain attacks, test prompt injection resistance, and audit live MCP servers for tool poisoning.
mcpsafetywarden
A security layer for MCP wraps any MCP server to add behavioral profiling, LLM-powered security scanning, schema tamper detection, risk gating, cross-tool exfiltration analysis and lot more. Drop it in front of your existing MCP servers to get visibility into what tools are actually doing before the
mcp-tool-lint
Static linter for MCP tool definitions — catch quality defects before deployment
@mcptoolgate/client
MCP Tool Gate client for Claude Desktop - secure MCP tool governance with human-in-the-loop approvals
Best For
- ✓AI safety teams building policy gateways for agent tool access
- ✓DevOps engineers vetting third-party MCP servers before deployment
- ✓LLM application builders implementing tool-use guardrails
- ✓Enterprise security teams implementing tool-use policies for LLM agents
- ✓Compliance officers auditing AI agent capabilities against security standards
- ✓Platform teams building multi-tenant agent systems with tool access controls
- ✓Platform teams building agent-as-a-service systems with multi-tenant tool isolation
- ✓Enterprise security teams implementing least-privilege access for agent tool use
Known Limitations
- ⚠Analyzes only static tool definitions — cannot detect runtime behavior or side effects not declared in schema
- ⚠Requires MCP server to be accessible or tool definitions to be provided in advance; no dynamic discovery of undocumented tools
- ⚠Limited to tools exposed via MCP protocol; cannot analyze tools injected through other mechanisms
- ⚠Risk classification is heuristic-based on tool metadata; cannot detect actual risk from tool implementation details or undocumented side effects
- ⚠Requires well-formed tool descriptions and parameter documentation to classify accurately; poorly documented tools may be misclassified
- ⚠Policy rules are static; cannot adapt to novel attack patterns or zero-day tool misuse without manual rule updates
Requirements
Input / Output
UnfragileRank
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SINT MCP Security Scanner — analyze MCP server tool definitions for risk
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