| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 13 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Automatically discovers and registers MCP elements (Tools, Resources, Prompts, Resource Templates) by scanning the filesystem for PHP classes annotated with #[McpTool], #[McpResource], #[McpResourceTemplate], and #[McpPrompt] attributes. The Discoverer component uses reflection to parse these attributes and automatically register handlers without manual configuration, enabling zero-boilerplate exposure of application functionality to AI assistants.
Unique: Uses PHP 8.1+ attributes combined with filesystem scanning and reflection to enable declarative, zero-boilerplate registration of MCP elements. The Discoverer component automatically parses method signatures and docblocks to generate JSON schemas without manual schema definition, eliminating the need for separate schema files or registration code.
vs alternatives: Faster developer iteration than manual registration approaches because attributes co-locate element definition with implementation, reducing context switching and configuration drift.
Generates JSON Schema 2020-12 compliant schemas automatically by parsing PHP method signatures, type hints, and docblock annotations using reflection and docblock parsing. This eliminates manual schema definition while supporting complex types (unions, generics, nullable types) and docstring-based parameter descriptions, enabling AI clients to understand tool capabilities without separate schema files.
Unique: Combines PHP reflection API with docblock parsing to generate complete JSON schemas from method signatures without requiring separate schema definitions. Supports modern PHP type system features (union types, named arguments, typed properties) and automatically extracts parameter descriptions from docblocks, creating self-documenting MCP elements.
vs alternatives: Eliminates schema maintenance burden compared to frameworks requiring manual schema definition, because schema is derived directly from code and stays synchronized automatically.
Implements the JSON-RPC 2.0 specification for message exchange between client and server. The Protocol component parses incoming JSON-RPC requests, routes them to appropriate handlers through the Dispatcher, and formats responses according to JSON-RPC 2.0 spec (including error responses with error codes and messages). Supports both request/response and notification patterns, enabling bidirectional communication between MCP clients and servers.
Unique: Implements complete JSON-RPC 2.0 protocol handling including request parsing, routing, response formatting, and error responses with standardized error codes. Supports both request/response and notification patterns, enabling the same Protocol component to handle all JSON-RPC message types across different transports.
vs alternatives: More standards-compliant than custom RPC implementations because it strictly follows JSON-RPC 2.0 specification, ensuring compatibility with any JSON-RPC 2.0 client without custom protocol negotiation.
Provides a fluent, chainable API for configuring the MCP server through the ServerBuilder class. Developers use method chaining to register transports, set up dependency injection, configure caching, enable session management, and register MCP elements. The builder pattern enables readable, self-documenting server configuration that can be version-controlled and easily modified without touching core server logic.
Unique: Implements fluent builder pattern for server configuration, enabling readable method chaining for setting up transports, DI containers, caching, sessions, and element discovery. The builder accumulates configuration and creates a fully-initialized Server instance, making configuration self-documenting and easy to modify.
vs alternatives: More readable than array-based configuration because method chaining makes configuration intent explicit and enables IDE autocomplete, reducing configuration errors and improving maintainability.
Implements StreamableHttpServerTransport for production deployments, supporting resumable connections and event sourcing patterns. Clients can reconnect and resume interrupted streams without losing messages, and the server can emit events as Server-Sent Events (SSE) or streaming JSON responses. This transport is recommended over deprecated HttpServerTransport for new projects requiring reliable message delivery and connection resilience.
Unique: Implements resumable HTTP streaming with event sourcing, allowing clients to reconnect and resume interrupted streams without losing messages. Supports both Server-Sent Events and streaming JSON response modes, providing flexibility for different client implementations while maintaining reliable message delivery.
vs alternatives: More resilient than deprecated HttpServerTransport because it supports connection resumption and event sourcing, enabling clients to recover from network interruptions without losing messages or requiring full reconnection.
Abstracts network communication through pluggable transport implementations (StdioServerTransport, HttpServerTransport, StreamableHttpServerTransport) that all conform to a common interface. The Protocol component handles JSON-RPC 2.0 message parsing and routing independently of transport, allowing the same server logic to operate over STDIO, HTTP+SSE, or streaming HTTP without code changes.
Unique: Implements transport abstraction through a common interface that decouples Protocol (JSON-RPC 2.0 handling) from network communication. Built on ReactPHP for non-blocking I/O, enabling high-concurrency HTTP handling while maintaining identical server logic across STDIO, HTTP+SSE, and streaming HTTP transports.
vs alternatives: More flexible than single-transport implementations because the same server code runs unchanged over STDIO for CLI tools, HTTP for web integration, and streaming HTTP for production deployments with resumability and event sourcing.
Integrates with PSR-11 Container interface to enable dependency injection for MCP element handlers. The ServerBuilder and Dispatcher automatically resolve handler dependencies from the container, allowing handlers to declare constructor dependencies that are automatically injected without manual wiring. Supports both explicit container configuration and automatic resolution of registered services.
Unique: Implements automatic handler resolution through PSR-11 Container integration, allowing handlers to declare constructor dependencies that are automatically injected by the Dispatcher. This eliminates manual service instantiation in handler code and enables seamless integration with existing PHP framework containers.
vs alternatives: Integrates more naturally with existing PHP ecosystems than frameworks requiring custom service registries, because it uses the standard PSR-11 interface that Laravel, Symfony, and other major frameworks already support.
Provides SessionManager component supporting multiple storage backends (in-memory, file-based, Redis, database) for maintaining client session state across requests. Implements automatic garbage collection of expired sessions and supports configurable TTL per session, enabling stateful MCP interactions where clients can maintain context across multiple tool invocations without re-sending full context.
Unique: Implements pluggable session backends with automatic garbage collection, allowing the same SessionManager code to work with in-memory, file, Redis, or database storage. Supports configurable TTL per session and automatic cleanup of expired sessions, enabling stateful MCP interactions without manual session lifecycle management.
vs alternatives: More flexible than single-backend session implementations because it supports multiple storage backends through a common interface, allowing developers to choose persistence strategy (in-memory for development, Redis for production) without code changes.
+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 PHP MCP Server at 23/100.
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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