Supabase ranks higher at 42/100 vs @msfeldstein/mcp-test-servers at 25/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @msfeldstein/mcp-test-servers | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 25/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality | 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 7 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides a suite of minimal but fully functional MCP server implementations (ping, resource, combined, env-echo) that demonstrate correct protocol compliance and server initialization patterns. Each server implements the MCP specification's required message handlers and resource/tool registration flows, allowing developers to validate their MCP client implementations against known-good server behavior without external dependencies.
Unique: Bundles multiple working MCP server implementations in a single npm package with explicit protocol compliance focus, eliminating the need to build test servers from scratch or rely on external services for MCP client validation
vs alternatives: Faster iteration than building custom test servers from scratch and more reliable than testing against production MCP servers that may have different behavior or availability constraints
Includes deliberately broken server implementations (broken-tool, crash-on-startup) that trigger specific failure modes and error conditions defined in the MCP specification. These servers allow developers to validate error handling paths in their MCP clients by reproducing edge cases like malformed tool definitions, unhandled exceptions during initialization, and protocol violations without needing to manually craft error scenarios.
Unique: Provides pre-built failure scenarios as executable servers rather than mock objects or test fixtures, enabling integration-level testing of error handling paths with actual protocol-level failures
vs alternatives: More realistic than unit test mocks because it exercises the full MCP protocol stack including connection handling and message serialization, while being more controlled than testing against real-world servers
Implements the MCP resource capability, allowing test servers to expose named resources (files, data, or computed content) that clients can request and retrieve through the MCP protocol. The resource server maintains a registry of available resources with metadata and serves content on-demand, demonstrating the resource discovery and retrieval patterns defined in the MCP specification.
Unique: Implements resource serving as a first-class MCP capability with proper metadata registration and discovery patterns, rather than treating resources as a secondary feature or mock data
vs alternatives: Demonstrates the full resource lifecycle (discovery, metadata, retrieval) in a single working server, whereas most MCP examples focus only on tool calling
Provides working tool implementations that register themselves with the MCP protocol, accept tool invocation requests from clients, and return results in the correct format. The combined server demonstrates multiple tools with different signatures and return types, allowing clients to validate tool discovery, parameter validation, and result handling against a known-good implementation.
Unique: Bundles multiple tool implementations with varying complexity and parameter types in a single server, enabling comprehensive testing of tool calling patterns without building custom tools
vs alternatives: More complete than simple echo tools because it includes tools with different signatures and return types, providing better coverage of real-world tool calling scenarios
The env-echo server reads environment variables from the host process and exposes them through the MCP protocol, allowing clients to retrieve environment configuration without direct system access. This demonstrates how MCP servers can bridge between system state and protocol clients, useful for testing clients that need to access host configuration or validate environment-aware behavior.
Unique: Bridges system environment state into the MCP protocol layer, demonstrating how servers can expose host configuration as a first-class MCP capability rather than hardcoding values
vs alternatives: More realistic than mock servers because it uses actual environment variables, enabling testing of environment-aware client behavior in different deployment contexts
Implements a minimal MCP server that responds to ping requests with pong responses, providing the simplest possible working MCP server implementation. This server validates basic protocol compliance, connection establishment, and message round-trip functionality without any complex features, serving as a baseline for testing MCP client connectivity and protocol parsing.
Unique: Provides the absolute minimal MCP server implementation, useful as a reference for understanding the core protocol without distraction from feature implementations
vs alternatives: Simpler and faster to test against than full-featured servers, making it ideal for isolating connection and protocol parsing issues
Bundles multiple MCP capabilities (tools, resources, and other features) into a single server instance, allowing clients to test interactions between different capability types and validate that the client correctly handles servers with mixed feature sets. This server demonstrates how real-world MCP servers typically expose multiple capabilities simultaneously.
Unique: Combines multiple MCP capabilities in a single server instance, providing a more realistic testing environment than single-capability servers while remaining simple enough to understand
vs alternatives: More representative of real-world MCP servers than single-capability test servers, enabling better validation of client behavior in production scenarios
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 @msfeldstein/mcp-test-servers at 25/100.
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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
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