Supabase ranks higher at 42/100 vs @openctx/provider-modelcontextprotocol at 20/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @openctx/provider-modelcontextprotocol | 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 | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Discovers and enumerates all resources exposed by connected MCP (Model Context Protocol) providers through the standard MCP resource listing API. The provider maintains an active connection to MCP servers, queries their resource endpoints, and caches the resource manifest including names, URIs, MIME types, and descriptions. This enables OpenCtx clients to dynamically discover what information sources are available without hardcoding resource paths.
Unique: Implements OpenCtx's standardized resource discovery pattern for MCP, allowing any OpenCtx client to query MCP providers uniformly through a single interface rather than implementing provider-specific discovery logic
vs alternatives: Simpler than building direct MCP client integrations because it abstracts MCP protocol details behind OpenCtx's unified provider interface, enabling code reuse across multiple OpenCtx-compatible tools
Retrieves the full content of a specific resource from an MCP provider by URI, supporting both complete buffered responses and streaming output for large resources. The provider translates OpenCtx resource requests into MCP resources/read RPC calls, handles the MCP transport layer, and streams or buffers the response based on client preferences. Supports text, binary, and structured content types with proper MIME type handling.
Unique: Provides a unified streaming interface for MCP resource reads that abstracts away MCP transport differences (stdio vs SSE vs custom), allowing clients to handle large resources efficiently without knowing the underlying connection type
vs alternatives: More efficient than direct MCP client libraries for streaming because it handles transport-agnostic buffering and backpressure automatically, whereas raw MCP clients require manual stream management per transport type
Invokes tools and functions exposed by MCP providers through a standardized calling interface with automatic schema validation. The provider translates OpenCtx tool calls into MCP tools/call RPC requests, validates input parameters against the tool's JSON schema, handles the MCP transport, and returns structured results. Supports both synchronous and asynchronous tool execution with proper error propagation.
Unique: Provides schema-aware tool invocation that validates inputs before sending to MCP servers, reducing wasted calls and providing early feedback on parameter mismatches, whereas raw MCP clients send calls blindly and rely on server-side validation
vs alternatives: Simpler integration path than building custom tool adapters for each MCP provider because the schema validation and calling convention is standardized through OpenCtx, enabling tool reuse across different client applications
Discovers prompt templates exposed by MCP providers and renders them with variable substitution. The provider queries MCP servers for available prompts via the prompts/list endpoint, retrieves prompt definitions including arguments and descriptions, and renders prompts by substituting variables into template strings. Supports both simple string interpolation and structured prompt composition for LLM context building.
Unique: Centralizes prompt template management through MCP providers, allowing prompts to be versioned and updated server-side without requiring client code changes, whereas hardcoded prompts require application redeployment to update
vs alternatives: More flexible than static prompt libraries because templates are fetched dynamically from MCP servers, enabling real-time prompt updates and multi-tenant prompt customization without rebuilding client applications
Manages the full lifecycle of MCP server connections including initialization, authentication, health checking, and graceful shutdown. The provider handles transport setup (stdio, SSE, or custom), implements connection pooling for multiple concurrent requests, detects connection failures, and implements reconnection logic with exponential backoff. Provides hooks for connection state changes and error events.
Unique: Abstracts MCP transport complexity behind a unified connection interface that handles reconnection, backpressure, and state management automatically, whereas raw MCP clients require manual transport setup and error handling per connection type
vs alternatives: More robust than direct MCP client usage because it implements automatic reconnection and health checking, reducing boilerplate error handling code and improving application reliability for long-running processes
Implements the OpenCtx provider interface specification, translating OpenCtx capability requests (mentions, definitions, hover, references) into corresponding MCP protocol calls. Acts as an adapter layer that allows any OpenCtx client (IDE extensions, LLM applications, documentation tools) to consume MCP providers uniformly without knowing MCP protocol details. Handles capability negotiation and graceful degradation when MCP servers don't support specific features.
Unique: Bridges MCP and OpenCtx protocols, allowing MCP providers to be consumed by any OpenCtx client without modification, whereas using MCP directly requires each client to implement MCP protocol handling
vs alternatives: Enables ecosystem interoperability because OpenCtx clients can work with MCP providers without knowing about MCP, and MCP providers can reach OpenCtx clients without implementing OpenCtx protocol directly
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 @openctx/provider-modelcontextprotocol 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