Supabase ranks higher at 42/100 vs @crush-protocol/mcp-contracts at 20/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @crush-protocol/mcp-contracts | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 20/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality | 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides TypeScript interfaces and type definitions for standardizing tool schemas across MCP servers and clients. Implements a contract-based approach where tool definitions (name, description, input schema, output schema) are centrally defined and shared, enabling compile-time type safety and runtime validation. Uses JSON Schema for input/output specifications with TypeScript generics for end-to-end type inference across the MCP protocol boundary.
Unique: Centralizes MCP tool contract definitions as a shared npm package, enabling multiple servers and clients to reference the same TypeScript interfaces and JSON schemas rather than duplicating definitions. Uses TypeScript generics to propagate type information through the MCP protocol boundary, providing end-to-end type safety from client call site to server handler.
vs alternatives: Stronger than ad-hoc schema sharing because contracts are versioned, published, and enforced at compile time; lighter than full OpenAPI/AsyncAPI specifications because it focuses specifically on MCP's tool-calling semantics.
Defines a shared enumeration of error codes and error response structures that MCP servers and clients use to communicate failures consistently. Implements a contract layer for error handling where specific error codes (e.g., TOOL_NOT_FOUND, INVALID_ARGUMENT, RATE_LIMITED) map to HTTP-like status semantics. Enables clients to programmatically handle different failure modes without parsing error messages.
Unique: Provides a centralized, versioned error code registry as an npm package that all MCP implementations can import and reference, eliminating the need for each server to define its own error semantics. Maps error codes to semantic categories (retryable, client error, server error) enabling automatic retry logic.
vs alternatives: More structured than raw error messages because clients can pattern-match on error codes; more lightweight than full exception hierarchies because it uses simple enums rather than class inheritance.
Establishes a standardized naming scheme and metadata structure for MCP tools (e.g., tool name format, description templates, category tags). Implements conventions as TypeScript constants and interfaces that enforce naming patterns (e.g., snake_case for tool names, required description fields) across all servers. Enables discovery and documentation generation by providing machine-readable tool metadata.
Unique: Encodes naming conventions and metadata standards as TypeScript interfaces and constants in a shared package, allowing all MCP implementations to import and enforce the same conventions without duplicating definitions. Provides validation functions to check tool names and metadata against the standard.
vs alternatives: More discoverable than implicit conventions because they're explicitly documented in code; more flexible than a centralized registry because conventions are enforced locally by each server.
Manages versioning of shared MCP contracts so that servers and clients can evolve independently while maintaining compatibility. Implements semantic versioning for contract packages, allowing breaking changes to be tracked and communicated. Enables clients to specify which contract versions they support and servers to declare which versions they implement.
Unique: Uses npm's semantic versioning system to version shared MCP contracts, allowing servers and clients to declare version compatibility constraints. Enables multiple contract versions to coexist in the same codebase for gradual migration.
vs alternatives: More explicit than implicit versioning because version constraints are declared in package.json; more flexible than monolithic versioning because individual contracts can evolve independently.
Provides TypeScript generics and type inference that propagate tool schema information through the MCP protocol, enabling type-safe function calls at the client level. When a client calls an MCP tool, the argument types and return types are inferred from the shared contract definition, catching type mismatches at compile time. Implements this through TypeScript's conditional types and mapped types to extract schema information.
Unique: Uses TypeScript's advanced type system (conditional types, mapped types, const type parameters) to extract schema information from shared contract definitions and propagate it through function signatures, enabling end-to-end type safety without code generation. Infers both argument types and return types from JSON Schema.
vs alternatives: Stronger type safety than runtime validation because errors are caught at compile time; more maintainable than code generation because types are derived from a single source of truth (the contract definition).
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 @crush-protocol/mcp-contracts at 20/100.
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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