| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Generates SAP Fiori project structures (Elements, Freestyle, Worklist templates) through MCP protocol by exposing SAP UX tooling as callable tools. Implements MCP server pattern to translate AI tool-calling requests into SAP project generators, handling template selection, parameter validation, and file structure creation without requiring direct CLI invocation.
Unique: Bridges SAP UX tooling ecosystem into MCP protocol, enabling AI agents to invoke SAP-native generators without shell execution or custom adapters. Uses MCP's tool schema to expose SAP generator parameters as first-class callable functions.
vs alternatives: Provides native SAP Fiori scaffolding within AI workflows without requiring custom CLI wrappers or REST API layers, unlike generic code generation tools that lack SAP template awareness.
Introspects SAP UX generator APIs and exposes them as MCP-compliant tool schemas with parameter validation, descriptions, and type information. Converts SAP generator options (template types, naming conventions, OData bindings) into structured tool definitions that MCP clients can discover and invoke, handling schema serialization and parameter mapping.
Unique: Automatically generates MCP tool schemas from SAP UX generator APIs rather than requiring manual schema definition, reducing maintenance burden and ensuring schema-generator parity. Uses reflection/introspection patterns to extract parameter metadata from SAP packages.
vs alternatives: Eliminates manual tool schema maintenance compared to hand-coded MCP servers, ensuring SAP generator updates automatically surface in tool definitions without code changes.
Generates SAP Fiori Elements applications with awareness of OData service contracts, manifest configurations, and UI5 component hierarchies. Implements template-driven code generation that maps OData entity properties to UI controls, creates data binding expressions, and scaffolds controller logic with proper lifecycle hooks, reducing boilerplate and ensuring SAP best practices.
Unique: Integrates OData service metadata introspection into code generation, automatically mapping entity properties to UI controls and generating data binding expressions rather than creating generic templates. Uses SAP's Fiori Elements template library with semantic awareness of OData contracts.
vs alternatives: Produces SAP-compliant Fiori Elements code with OData bindings pre-configured, unlike generic UI scaffolders that require manual data source wiring and lack Fiori-specific patterns.
Generates custom SAP Fiori Freestyle applications with UI5 component hierarchies, XML view definitions, and controller logic. Supports component composition, event binding, and model initialization patterns specific to UI5 development, enabling rapid creation of custom UI layouts without boilerplate while maintaining SAP architectural standards.
Unique: Generates UI5 component structures with proper lifecycle hooks and aggregation patterns, not just flat view files. Uses SAP's component model conventions to create reusable, composable UI5 components rather than simple view templates.
vs alternatives: Produces production-ready UI5 component scaffolding with proper component.js structure and lifecycle awareness, unlike generic UI generators that lack UI5-specific patterns and component composition support.
Implements MCP server initialization, tool registration, request routing, and error handling according to MCP specification. Manages bidirectional communication with MCP clients (Claude Desktop, custom agents), handles tool invocation requests, and streams responses back through MCP protocol, abstracting transport details from SAP generator logic.
Unique: Implements full MCP server lifecycle (initialization, tool registration, request handling, error recovery) as a reusable server component, not just a tool wrapper. Handles bidirectional MCP protocol communication and abstracts transport details from SAP generator logic.
vs alternatives: Provides complete MCP server implementation for SAP tooling, eliminating need for custom protocol handling in client code, unlike ad-hoc tool wrappers that require manual MCP message serialization.
Generates SAP Fiori manifest.json files with proper data source definitions, routing configurations, model initialization, and component metadata. Validates configuration against SAP schema, ensures routing paths match view hierarchies, and creates i18n property files with generated labels, reducing configuration errors and ensuring consistency across generated applications.
Unique: Generates manifest.json with semantic awareness of routing hierarchies and data source dependencies, validating consistency between routing definitions and view structures. Uses SAP manifest schema to ensure generated configurations comply with framework requirements.
vs alternatives: Produces valid, schema-compliant manifest.json files with routing and data source configuration pre-validated, unlike manual configuration that is error-prone and requires SAP expertise to validate.
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 @sap-ux/fiori-mcp-server at 34/100. @sap-ux/fiori-mcp-server 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
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