| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Automatically generates type-safe TypeScript client code from Humanitec's OpenAPI specifications, producing fully-typed request/response interfaces, method signatures, and error handling boilerplate. The generator introspects the OpenAPI schema to emit strongly-typed classes and interfaces that map directly to API endpoints, eliminating manual client implementation and keeping generated code synchronized with API changes.
Unique: Purpose-built code generator specifically for Humanitec's API schema, ensuring generated clients are always aligned with the platform's infrastructure automation capabilities and authentication patterns
vs alternatives: More specialized than generic OpenAPI generators (like OpenAPI Generator or Swagger Codegen) because it understands Humanitec-specific patterns and produces idiomatic TypeScript with zero configuration
Provides auto-generated TypeScript method signatures that enforce type safety at compile-time for all Humanitec API operations, with built-in request validation and response deserialization. Each generated method maps to a specific API endpoint with typed parameters, return types, and error responses, enabling IDE autocomplete and catching type mismatches before runtime.
Unique: Generated bindings are specific to Humanitec's infrastructure API, including domain-specific types for resources like Applications, Environments, Deployments, and Workloads that reflect the platform's mental model
vs alternatives: More type-safe than hand-written fetch/axios wrappers because types are generated from the authoritative API schema and enforced by TypeScript compiler, not runtime libraries
Packages the generated TypeScript client as a distributable npm module (@humanitec/autogen) that can be installed as a dependency in other projects, with semantic versioning and automatic updates when the Humanitec API schema changes. The package includes pre-compiled JavaScript, TypeScript source maps, and type definitions, enabling seamless integration into npm-based workflows.
Unique: Automatically published npm package that stays synchronized with Humanitec API changes, eliminating the need for manual client library maintenance or version coordination
vs alternatives: Simpler than maintaining a separate client library repository because the package is auto-generated and published directly from the API schema, reducing maintenance burden compared to hand-maintained SDKs
Automatically handles conversion between JavaScript/TypeScript objects and HTTP request/response payloads, including JSON serialization, header management, and response parsing according to the OpenAPI schema. The generated client transparently converts typed method parameters into HTTP requests and parses responses back into typed objects, handling edge cases like nested objects, arrays, and optional fields.
Unique: Serialization logic is generated from the OpenAPI schema, ensuring it always matches the API's expectations and automatically adapts when the schema changes
vs alternatives: More reliable than manual JSON serialization because it's generated from the authoritative schema and catches type mismatches at compile-time rather than runtime
Provides built-in support for Humanitec API authentication, handling credential injection into request headers and managing authentication state across multiple API calls. The generated client accepts authentication credentials (API keys, tokens) and automatically includes them in all outgoing requests without requiring manual header manipulation.
Unique: Authentication is baked into the generated client code, eliminating the need for manual header management and ensuring credentials are consistently applied across all API operations
vs alternatives: Simpler than manually managing authentication headers because the client handles credential injection transparently, reducing the surface area for authentication bugs
Automatically maps HTTP error responses to typed error objects that can be caught and handled in application code, with specific error types for different failure scenarios (4xx client errors, 5xx server errors, network failures). The generated client parses error responses according to the OpenAPI schema and throws typed exceptions that include status codes, error messages, and additional context.
Unique: Error types are generated from the OpenAPI schema, ensuring they match the actual error responses from Humanitec API and automatically adapt when error schemas change
vs alternatives: More type-safe than generic HTTP error handling because errors are represented as discriminated unions, enabling exhaustive pattern matching in TypeScript
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 @humanitec/autogen at 21/100. @humanitec/autogen 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
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