| Ecosystem |
| 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 12 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements a transparent proxy layer (mcp-guardian-proxy binary) that sits between LLM applications and MCP servers, intercepting all bidirectional JSON-RPC messages over stdio/WebSocket transports. The proxy maintains complete audit trails by logging every message to persistent storage before forwarding, enabling forensic analysis of LLM-to-tool interactions without modifying the LLM application itself.
Unique: Uses MCP protocol's stdio/WebSocket transport layer as interception point rather than requiring deep LLM integration; leverages JSON-RPC message structure for format-agnostic logging that works across any MCP server implementation
vs alternatives: Provides audit logging without modifying LLM or MCP server code, unlike application-level instrumentation or custom MCP wrappers that require code changes
Implements a guard profile system that intercepts MCP messages matching configurable rules and routes them to approval queues in the desktop UI or CLI, blocking execution until a human approves or rejects the request. The proxy suspends message forwarding at the JSON-RPC level, maintaining connection state while awaiting approval decisions that are persisted and can be replayed for audit purposes.
Unique: Blocks at the JSON-RPC message level before MCP server execution, enabling approval of individual tool calls rather than coarse-grained server access control; integrates approval UI directly into proxy architecture via message queue pattern
vs alternatives: Provides granular per-message approval unlike firewall rules or capability-based access control; maintains connection state during approval wait, avoiding timeout issues in long-running LLM sessions
Maintains strict JSON-RPC 2.0 protocol compliance throughout the proxy pipeline, preserving message structure, method names, and parameter types without transformation or reinterpretation. The proxy operates as a transparent intermediary that logs and filters messages while maintaining protocol semantics, ensuring compatibility with any MCP server implementation that follows the specification.
Unique: Operates as protocol-transparent proxy that preserves JSON-RPC message structure without interpretation, enabling compatibility with any MCP server implementation; message logging and filtering operate on JSON structure rather than semantic understanding
vs alternatives: Provides format-agnostic interception unlike application-level proxies that require semantic understanding; JSON-RPC preservation enables message replay and forensic analysis unlike transformed message streams
Implements proxy support for both stdio-based (local process) and WebSocket-based (remote server) MCP transport mechanisms, enabling the proxy to intercept and manage connections to both local and remote MCP servers. The proxy abstracts transport differences at the JSON-RPC message level, allowing guard profiles and approval workflows to operate uniformly across transport types.
Unique: Abstracts stdio and WebSocket transports at the JSON-RPC message layer, enabling uniform guard profile and approval workflow application across transport types; proxy handles transport-specific connection management transparently
vs alternatives: Provides unified management of local and remote servers unlike separate proxies per transport; transport abstraction enables policy consistency across heterogeneous deployments
Defines a declarative rule system (stored as JSON in mcp-guardian-core) that matches incoming MCP messages against patterns (tool name, parameter values, server identity) and applies transformations or blocks. Profiles are evaluated by the proxy before message forwarding, enabling automated security policies like blocking dangerous tools, redacting sensitive parameters, or enforcing rate limits without human intervention.
Unique: Implements policy enforcement at the MCP protocol layer using declarative rules that operate on JSON-RPC message structure, enabling format-agnostic filtering that works across heterogeneous MCP server implementations without custom code per tool
vs alternatives: Provides centralized policy management across multiple MCP servers unlike per-server configuration; operates at proxy layer enabling enforcement before server execution, unlike post-execution monitoring
Provides a centralized configuration system (mcp-guardian-core library) that manages multiple MCP server definitions, guard profiles, and server collections using a namespace-based hierarchy stored as JSON files. The system enables grouping related servers into collections, applying guard profiles to collections, and managing configurations via desktop UI, CLI, or programmatic API without manual file editing.
Unique: Uses namespace-based hierarchy with server collections to enable bulk policy application across related servers; centralizes configuration in shared Rust library (mcp-guardian-core) that all components (proxy, CLI, desktop UI) consume, ensuring consistency
vs alternatives: Provides unified configuration interface across multiple tools (CLI, desktop, proxy) unlike scattered per-tool configs; enables server grouping and bulk policy application unlike flat server lists
Implements a Tauri-based desktop application with React frontend that provides a graphical interface for viewing live MCP message streams, managing server configurations, and processing approval queues. The UI connects to the proxy via IPC or local API, displaying timestamped message logs with filtering/search, allowing users to approve/reject pending messages and edit guard profiles without CLI knowledge.
Unique: Uses Tauri + React to provide cross-platform desktop UI that directly integrates with proxy via IPC, enabling real-time message streaming and approval workflows without web server overhead; React component architecture enables modular UI for different management tasks
vs alternatives: Provides native desktop experience with real-time updates unlike web-based dashboards; Tauri approach offers smaller bundle size and better performance than Electron for message streaming workloads
Implements a Rust-based CLI tool (mcp-guardian-cli) that enables programmatic management of MCP servers, guard profiles, and server collections via command-line arguments and stdin. The CLI directly uses mcp-guardian-core library, enabling automation workflows like CI/CD pipelines to provision MCP configurations, apply policies, and validate setups without GUI interaction.
Unique: Built in Rust using mcp-guardian-core library, enabling tight integration with core business logic and zero-copy configuration access; CLI-first design enables integration into shell scripts and CI/CD pipelines without GUI dependencies
vs alternatives: Provides programmatic configuration management unlike desktop UI; Rust implementation offers better performance and smaller binary size than Python/Node.js alternatives for automation workloads
+4 more capabilities
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs mcp-guardian at 27/100.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
+1 more capabilities