| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 17 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements a dedicated auth-server component that intercepts all requests via NGINX auth_request pattern, validating tokens against Keycloak, Entra ID, or Okta identity providers before routing to downstream services. Supports fine-grained access control (FGAC) through scope-based authorization, token generation with configurable TTLs, and CLI authentication tools for programmatic access. The architecture decouples authentication from business logic, enabling consistent identity enforcement across MCP servers, agents, and registry APIs without modifying individual service code.
Unique: Uses NGINX auth_request pattern to enforce authentication at the gateway layer before any request reaches downstream services, enabling zero-trust architecture without modifying individual MCP servers or agents. Supports simultaneous multi-provider federation (Keycloak + Entra ID + Okta) with unified scope mapping.
vs alternatives: Decouples auth from business logic more cleanly than per-service OAuth integration, reducing implementation burden on tool developers and enabling consistent policy enforcement across heterogeneous MCP server implementations.
Implements a semantic search engine that indexes MCP server capabilities using embeddings, enabling agents and developers to discover tools by natural language intent rather than exact tool names. The registry maintains a catalog of registered MCP servers with versioning, health status, and capability metadata. Discovery queries are embedded and matched against server tool descriptions using vector similarity, with results ranked by relevance. The system supports both keyword search and semantic queries, allowing queries like 'tools for file manipulation' to surface file-system, S3, and database servers simultaneously.
Unique: Combines semantic embeddings with MCP server metadata to enable intent-based tool discovery, allowing agents to find tools by describing what they need to accomplish rather than knowing exact tool names. Integrates with LangGraph agent workflows to dynamically populate tool sets during execution.
vs alternatives: More discoverable than static tool registries or hardcoded tool lists; enables agents to adapt to new tools without code changes, and supports natural language queries that match how developers actually think about tool needs.
Implements automated security scanning of registered MCP servers, checking for known vulnerabilities in dependencies, insecure configurations, and compliance violations. The pipeline runs on server registration and periodically re-scans existing servers. Generates security reports with severity levels (critical, high, medium, low) and remediation guidance. Integrates with compliance frameworks (SOC2, HIPAA, PCI-DSS) to track compliance status. Audit logging captures all security findings and remediation actions with timestamps and responsible parties.
Unique: Integrates security scanning into the server registration workflow, preventing vulnerable servers from being registered without explicit acknowledgment. Combines vulnerability detection with compliance auditing, enabling organizations to track both security and regulatory requirements.
vs alternatives: More proactive than post-deployment security scanning; catches vulnerabilities at registration time before servers are used by agents. Compliance auditing is built-in rather than requiring separate tools.
Maintains immutable audit logs of all registry operations including server registration, tool access, agent invocations, and configuration changes. Each audit event captures identity, action, resource, timestamp, and outcome. Logs are stored in append-only format (MongoDB capped collections or similar) to prevent tampering. Supports compliance reporting for SOC2, HIPAA, and PCI-DSS with pre-built queries for common audit requirements. Integrates with SIEM systems (Splunk, ELK) for centralized log aggregation and analysis.
Unique: Implements append-only audit logging with immutable event records, preventing tampering and enabling forensic analysis. Integrates compliance reporting for multiple frameworks (SOC2, HIPAA, PCI-DSS) with pre-built queries.
vs alternatives: More tamper-proof than traditional logging; append-only format prevents deletion or modification of audit records. Pre-built compliance reports reduce effort for audit preparation compared to manual log analysis.
Provides pre-configured Docker Compose files for local development and AWS ECS task definitions for production deployment. Includes Terraform modules for infrastructure provisioning (VPC, security groups, load balancers, RDS/DocumentDB). Supports environment-based configuration (dev, staging, production) with separate secrets management. Implements health checks and auto-scaling policies for production deployments. CI/CD pipeline automatically builds and publishes Docker images on code changes.
Unique: Provides both Docker Compose for local development and AWS ECS for production, with Terraform modules for infrastructure provisioning. Enables consistent deployments across environments without manual configuration.
vs alternatives: More complete than basic Docker images; includes infrastructure provisioning and CI/CD integration. Terraform modules enable infrastructure-as-code workflows for reproducible deployments.
Provides Helm charts for deploying MCP Gateway & Registry to Kubernetes clusters with support for multiple environments (dev, staging, production). Charts include ConfigMaps for configuration management, Secrets for sensitive data, and StatefulSets for persistent storage. Supports horizontal pod autoscaling based on CPU and memory metrics. Includes NGINX Ingress configuration for external access and TLS termination. Integrates with Kubernetes RBAC for fine-grained access control.
Unique: Provides production-grade Helm charts with multi-environment support and auto-scaling, enabling Kubernetes-native deployments without manual configuration. Integrates with Kubernetes RBAC for access control.
vs alternatives: More flexible than Docker Compose for multi-node deployments; enables horizontal scaling and high availability. Helm charts enable GitOps workflows for declarative infrastructure management.
Provides VS Code and Cursor extensions that integrate MCP Gateway & Registry directly into the IDE. Extensions enable developers to discover tools, view documentation, and invoke tools directly from the editor without leaving their development environment. Supports inline tool invocation with parameter input forms and result display. Integrates with editor authentication to use IDE credentials for registry access. Enables developers to test tools while writing agent code.
Unique: Integrates tool discovery and invocation directly into VS Code and Cursor, enabling developers to test tools while writing agent code without context switching. Uses IDE authentication for seamless registry access.
vs alternatives: More integrated than separate web UI or CLI tools; reduces friction for developers by keeping tool discovery and testing within the IDE. IDE-native UI provides better developer experience than external tools.
Provides LangGraph integration that enables agents to automatically populate their tool sets from the registry at runtime. Agents can request tools by name, category, or capability, with the registry returning appropriate tools and binding them to the agent's tool executor. Supports dynamic tool discovery where agents can query the registry during execution to find tools matching current task requirements. Integrates with LangGraph's state management to track tool usage and enable tool selection optimization.
Unique: Integrates directly with LangGraph's state management and tool executor, enabling agents to dynamically populate tool sets at runtime. Supports tool selection optimization based on historical usage patterns.
vs alternatives: More flexible than hardcoded tool sets; enables agents to adapt to new tools without code changes. Integration with LangGraph state management enables tool selection optimization.
+9 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-gateway-registry at 38/100.
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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