Supabase ranks higher at 42/100 vs @gongrzhe/server-gmail-autoauth-mcp at 37/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @gongrzhe/server-gmail-autoauth-mcp | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 37/100 | 42/100 |
| Adoption | 1 | 0 |
| Quality |
| 0 |
| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements automatic OAuth2 token acquisition and refresh for Gmail API without requiring manual credential management. The server handles the full OAuth2 flow including authorization code exchange, token storage, and automatic refresh token rotation, eliminating the need for developers to manually manage Google service account credentials or handle token expiration.
Unique: Implements automatic token refresh within the MCP server boundary, allowing AI agents to transparently access Gmail without exposing credentials to the client application or requiring manual token management by developers
vs alternatives: Eliminates credential exposure compared to passing raw API keys to Claude, and removes token refresh complexity vs. manually implementing OAuth2 in client applications
Exposes Gmail API message operations (fetch, list, search) as MCP tools callable by Claude and other AI agents. The server wraps Gmail API endpoints with schema-based function definitions that allow agents to query messages by ID, search with Gmail query syntax, and retrieve thread information with automatic pagination handling.
Unique: Wraps Gmail API as MCP tools with automatic schema generation, allowing Claude to discover and call email operations without hardcoded integrations, and handles Gmail's complex query syntax transparently
vs alternatives: More discoverable than raw Gmail API SDKs because tools are self-documenting via MCP schema, and simpler than building custom REST endpoints for each email operation
Implements the Model Context Protocol server specification, handling MCP request/response routing, tool registration, and resource management. The server registers Gmail operations as discoverable MCP tools and maintains the protocol handshake with clients (Claude, Cursor), enabling bidirectional communication for tool invocation and result streaming.
Unique: Implements MCP server specification with Gmail-specific tool bindings, allowing seamless integration into Claude and Cursor without custom protocol handling by the client
vs alternatives: Standardized MCP approach is more maintainable than custom REST APIs, and enables automatic tool discovery vs. hardcoded integrations
Provides native MCP server support for Cursor IDE, allowing developers to invoke Gmail operations directly within their editor context. The server registers as a Cursor-compatible MCP provider, enabling in-editor tool calls for email retrieval, search, and context injection into code generation workflows.
Unique: Bridges Gmail and Cursor IDE via MCP, enabling email operations to be invoked directly in the editor context without external tools or window switching
vs alternatives: More integrated than browser-based Gmail + separate Cursor window, and avoids context switching compared to manual email checking during development
Exposes Gmail label hierarchy and thread metadata operations through MCP tools, allowing agents to list available labels, retrieve thread information, and filter messages by label. The server queries Gmail's label API and thread endpoints, returning structured metadata that enables label-based email organization and thread-aware message grouping.
Unique: Exposes Gmail's label hierarchy and thread structure as queryable MCP tools, enabling agents to understand email organization context without parsing raw API responses
vs alternatives: More structured than raw Gmail API responses, and enables label-aware filtering that would require multiple API calls to implement manually
Implements background token refresh logic that automatically renews expired OAuth2 access tokens using stored refresh tokens. The server monitors token expiration and proactively refreshes credentials before they expire, ensuring uninterrupted Gmail API access without requiring manual re-authentication or error handling by the client.
Unique: Implements proactive token refresh at the MCP server level, eliminating the need for clients to handle token expiration or implement refresh logic themselves
vs alternatives: More reliable than client-side token refresh because it's centralized and doesn't depend on client uptime, and simpler than implementing refresh logic in each agent
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 @gongrzhe/server-gmail-autoauth-mcp at 37/100. @gongrzhe/server-gmail-autoauth-mcp leads on adoption and ecosystem, while Supabase is stronger on quality.
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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