| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 13 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements federated identity management supporting OIDC, SAML 2.0, and OAuth 2.0 providers (Okta, Azure AD, Google Workspace, custom IdPs) with token exchange and session management. Routes authentication requests through a centralized gateway layer that validates credentials against external identity providers and issues short-lived MCP access tokens, eliminating credential storage in the gateway itself.
Unique: Implements token exchange pattern (not credential passthrough) where external IdP tokens are converted to short-lived MCP-specific tokens, reducing attack surface by preventing credential storage and enabling fine-grained MCP-level revocation independent of IdP session lifetime
vs alternatives: Unlike basic OIDC proxies, Webrix MCP Gateway translates IdP tokens into MCP-native tokens with independent TTL and revocation, enabling per-tool access control without IdP policy changes
Enforces hierarchical role definitions (admin, operator, viewer, custom roles) with fine-grained permissions mapped to specific MCP tools, resources, and operations. Uses a policy engine that evaluates role membership (derived from IdP groups or manually assigned) against requested tool invocations, supporting both allow-list (whitelist) and deny-list (blacklist) patterns with attribute-based extensions for context-aware decisions.
Unique: Implements MCP-aware RBAC where permissions are bound to specific tool operations and resources (not just API endpoints), enabling agents to be granted access to 'read from database X' without access to 'write to database X', with automatic policy evaluation at the MCP protocol layer
vs alternatives: More granular than network-level access control (IP whitelisting) and more MCP-native than generic API gateway RBAC, allowing tool-specific permission rules without modifying tool implementations
Implements request tracing with unique request IDs propagated through the entire request lifecycle (client → gateway → tool → response). Integrates with distributed tracing systems (Jaeger, Zipkin, Datadog APM) using OpenTelemetry instrumentation to capture request latency, error traces, and dependency chains. Traces include MCP-specific context (tool name, user identity, authorization decision) and are correlated with audit logs for end-to-end visibility.
Unique: Implements OpenTelemetry-based distributed tracing with MCP-specific context (tool name, authorization decision, user identity) and automatic correlation with audit logs, enabling end-to-end visibility without modifying tool code
vs alternatives: More comprehensive than basic request logging (includes dependency chains and latency breakdown) and more MCP-aware than generic APM instrumentation, enabling tool-specific and authorization-specific tracing
Maintains a centralized registry of available MCP tools with metadata (name, description, schema, capabilities, health status). Supports dynamic tool registration via API or configuration file, enabling new tools to be added without restarting the gateway. Includes health checks for registered tools with automatic removal of unhealthy tools from the registry. Provides tool discovery API for clients to query available tools, supported operations, and required permissions.
Unique: Implements a centralized MCP tool registry with dynamic registration, health checking, and discovery API, enabling tools to be added/removed at runtime without gateway restarts and providing clients with up-to-date tool metadata
vs alternatives: More dynamic than static tool configuration (supports runtime registration) and more MCP-native than generic service registries, enabling tool ecosystem management without external service discovery systems
Logs all MCP requests and responses with automatic masking of sensitive fields (API keys, passwords, tokens, PII) based on configurable patterns or field names. Logs include request/response payloads, headers, latency, and status codes. Supports multiple log levels (debug, info, warn, error) with per-tool or per-user log level configuration. Logs are written to files, stdout, or external logging systems (ELK, Splunk, Datadog) with optional structured logging (JSON format) for easy parsing.
Unique: Implements automatic sensitive data masking in request/response logs based on configurable patterns, enabling detailed debugging without exposing API keys, passwords, or PII, with support for structured logging and external logging systems
vs alternatives: More secure than unmasked logging (prevents accidental secret exposure) and more flexible than tool-level logging (supports centralized masking policies), enabling compliance with data protection regulations without tool code changes
Captures all authentication, authorization, and MCP tool invocation events with immutable append-only logging to prevent tampering. Each audit event includes timestamp, user identity, tool name, operation, result (success/failure), and contextual metadata (IP address, user agent, request ID). Logs are written to persistent storage (file, database, or external SIEM) with optional cryptographic signing to ensure integrity and support compliance investigations.
Unique: Implements append-only audit logging at the MCP gateway layer (not in individual tools), capturing the complete authorization and invocation context in a single immutable record, with optional cryptographic signing to prevent post-hoc tampering and support forensic analysis
vs alternatives: More comprehensive than tool-level logging (which may be incomplete or tool-specific) and more tamper-resistant than mutable application logs, providing a single source of truth for compliance audits
Provides a centralized, encrypted vault for storing MCP tool credentials (API keys, database passwords, OAuth tokens, certificates) with automatic encryption at rest using AES-256 or KMS integration. Supports credential rotation policies (automatic refresh on schedule or manual trigger), credential versioning, and audit trails for all vault access. Credentials are never exposed to client applications — instead, the gateway injects credentials into MCP tool invocations server-side, ensuring secrets remain within the secure perimeter.
Unique: Implements server-side credential injection where secrets are stored encrypted in the gateway vault and injected into MCP tool invocations server-side, preventing credentials from ever being transmitted to or stored by client applications, with automatic rotation support and full audit trails
vs alternatives: More secure than environment variable or config file storage (which are often unencrypted and difficult to rotate) and more MCP-native than generic secret managers, enabling tool-specific credential policies without modifying tool code
Acts as a transparent proxy for MCP protocol traffic, intercepting and validating all requests and responses against MCP schema specifications. Performs request transformation (parameter sanitization, type coercion, default value injection), response filtering (removing sensitive fields, truncating large payloads), and protocol version negotiation. Implements MCP-aware request routing to backend tools with connection pooling and automatic failover to replica tools.
Unique: Implements MCP-aware protocol gateway with schema-based validation and transformation at the protocol layer, enabling request/response manipulation without tool code changes and supporting multiple tool versions simultaneously through schema versioning
vs alternatives: More MCP-native than generic API gateways (which lack MCP schema awareness) and more flexible than tool-level validation (which requires tool code changes), enabling centralized request/response policies across all tools
+5 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 Webrix MCP Gateway 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