Supabase ranks higher at 42/100 vs @amap/amap-maps-mcp-server at 28/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @amap/amap-maps-mcp-server | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 28/100 | 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 |
Exposes AMap's geocoding API through the Model Context Protocol, allowing LLM agents to convert addresses to coordinates and coordinates to addresses via standardized MCP tool calls. Implements schema-based function calling that maps MCP tool definitions to AMap REST API endpoints, handling request serialization, response parsing, and error translation between protocols.
Unique: Implements AMap geocoding as a native MCP tool, enabling direct integration with Claude and other LLM agents without custom API wrapper code. Uses MCP's standardized schema-based function calling to abstract AMap's REST API, allowing agents to treat geocoding as a first-class capability alongside other tools.
vs alternatives: Simpler integration than building custom REST API wrappers for AMap; more region-specific than generic geocoding services for China/Asia-Pacific use cases
Exposes AMap's routing API through MCP tool definitions, enabling LLM agents to calculate optimal routes, travel distances, and estimated travel times between locations. Translates agent requests into AMap routing parameters (start/end coordinates, routing mode, avoidances) and returns structured route data including waypoints, distance, and duration.
Unique: Integrates AMap's routing engine as an MCP tool, allowing agents to reason about routes and distances as first-class capabilities. Abstracts AMap's routing parameters (mode, avoidances, waypoints) into agent-friendly tool schemas, enabling natural language route requests.
vs alternatives: More accurate for China/Asia-Pacific routing than generic mapping services; tighter integration with LLM agents than calling AMap REST APIs directly
Exposes AMap's Point of Interest (POI) search API through MCP, enabling agents to discover nearby businesses, landmarks, and services by category, keyword, or location. Implements keyword-based and category-based search with geographic filtering, returning structured POI data including names, addresses, coordinates, and metadata.
Unique: Wraps AMap's POI search as an MCP tool, enabling agents to discover and reason about nearby locations without custom search implementation. Supports both keyword and category-based search with geographic filtering, abstracting AMap's search parameters into agent-friendly schemas.
vs alternatives: More comprehensive POI coverage in China/Asia-Pacific than generic mapping services; simpler integration than building custom POI indexing
Implements a standardized MCP server that translates between the Model Context Protocol (used by Claude and other LLM clients) and AMap's REST API. Handles authentication (API key management), request/response serialization, error handling, and rate limiting, allowing any MCP-compatible client to access AMap services without custom integration code.
Unique: Implements a full MCP server for AMap, not just a client library. Handles server-side concerns (authentication, rate limiting, error translation) and exposes AMap as a set of discoverable MCP tools, enabling seamless integration with Claude and other MCP clients without custom code.
vs alternatives: Cleaner integration than custom REST API wrappers; standardized MCP interface enables tool reuse across multiple LLM clients and agents
Automatically generates MCP-compliant tool schemas for AMap's geocoding, routing, and POI search APIs, including parameter definitions, type constraints, and descriptions. Enables MCP clients to discover available tools, understand required/optional parameters, and validate inputs before sending requests to the AMap server.
Unique: Generates MCP-compliant tool schemas for AMap services, enabling clients to discover and validate tools without hardcoding. Schemas include parameter types, constraints, and descriptions, allowing agents to understand tool capabilities before invocation.
vs alternatives: Standardized schema format enables tool reuse across MCP clients; more maintainable than hardcoded tool definitions
Manages AMap API key authentication and request signing for the MCP server. Handles API key validation, request header injection, and error handling for authentication failures, allowing the MCP server to securely communicate with AMap's REST API without exposing credentials to clients.
Unique: Centralizes AMap API authentication at the MCP server level, preventing credential exposure to clients. Handles API key injection and error translation, allowing clients to use AMap services without managing credentials directly.
vs alternatives: More secure than client-side API key management; simpler than implementing OAuth or token-based authentication
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 @amap/amap-maps-mcp-server at 28/100. @amap/amap-maps-mcp-server leads on adoption, 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