| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Free |
| Capabilities | 12 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Tools are defined as TypeScript classes extending MCPTool<T> with Zod schemas that enforce compile-time and runtime type safety. The framework automatically generates JSON schemas from Zod definitions, validates all inputs against the schema before execution, and provides full TypeScript IntelliSense for tool parameters. This eliminates manual schema-to-code synchronization and catches type mismatches at both development and runtime.
Unique: Uses Zod schemas as the single source of truth for both runtime validation and JSON schema generation, eliminating the need to maintain separate schema definitions. The generic type parameter MCPTool<typeof schema> enforces compile-time coupling between schema and tool implementation, preventing schema-code drift.
vs alternatives: Tighter type safety than manual JSON schema definitions or untyped tool registries, with automatic schema generation eliminating boilerplate that other MCP frameworks require developers to maintain separately.
The framework automatically discovers and registers tools by scanning the `tools/` directory for TypeScript files, eliminating manual tool registration. Each file in the directory is expected to export a class extending MCPTool, which the framework instantiates and registers without explicit configuration. This directory-based convention reduces boilerplate and allows developers to add new tools by simply creating a new file in the designated directory.
Unique: Implements file-system-based auto-discovery where the presence of a file in `tools/` directory is sufficient for registration, with no explicit registry or configuration required. This differs from most frameworks that require explicit tool registration in a central configuration object or factory.
vs alternatives: Reduces boilerplate compared to frameworks requiring manual tool registration in a central registry; scales better for large tool collections where adding a tool requires only creating a new file rather than modifying configuration.
Prompt templates are auto-discovered from files in the `prompts/` directory and exposed to MCP clients. The framework scans the directory and registers prompts without explicit configuration. Implementation details for prompt definition, templating syntax, and parameter handling are not documented.
Unique: Implements file-based prompt auto-discovery similar to tool discovery, but with minimal documentation. Prompts are registered automatically from the `prompts/` directory without explicit configuration.
vs alternatives: unknown — insufficient data on how this compares to other MCP frameworks' prompt handling, as the implementation is undocumented.
The framework includes pre-configured build tooling (TypeScript compilation, bundling, dependency management) that enables developers to start a working MCP server in under 5 minutes. The scaffolding generates a complete project with package.json, tsconfig.json, and build scripts, eliminating manual build configuration. Developers can run `npm start` or equivalent to launch the server immediately after scaffolding.
Unique: Provides a complete, pre-configured build setup that requires zero manual configuration, allowing developers to go from scaffolding to running server in under 5 minutes. This is faster than setting up TypeScript, build tools, and dependencies manually.
vs alternatives: Faster initial setup than building from scratch or using generic TypeScript project templates; comparable to other framework CLIs but specifically optimized for MCP server patterns.
The framework provides an abstraction layer supporting multiple transport mechanisms (stdio, Server-Sent Events/SSE, HTTP streaming) for MCP protocol communication. Developers define tools once and the framework handles serialization, deserialization, and protocol-specific communication details across all transports. This allows the same tool collection to be exposed via different communication channels without code changes.
Unique: Abstracts transport as a pluggable layer, allowing the same tool definitions to work across stdio (for local clients like Claude Desktop), SSE, and HTTP streaming without tool code changes. The framework handles all protocol-specific serialization and message framing.
vs alternatives: More flexible than single-transport MCP implementations; developers don't need to choose between local and remote deployment models upfront, as the same codebase can support both.
The framework includes native authentication providers for OAuth 2.1, JWT, and API key validation, allowing developers to protect tool endpoints without implementing authentication from scratch. Providers are configured declaratively and applied to tools, with the framework handling token validation, expiration checking, and credential extraction from requests. Custom auth providers can be implemented by extending the base provider interface.
Unique: Provides three built-in authentication strategies (OAuth 2.1, JWT, API key) as first-class framework features, with declarative configuration and automatic credential validation before tool execution. This eliminates the need for developers to implement authentication middleware.
vs alternatives: More comprehensive than frameworks requiring developers to implement authentication manually; built-in support for multiple auth methods reduces boilerplate compared to generic middleware approaches.
The framework provides a CLI tool (`mcp create app`, `mcp add tool`) that generates TypeScript project scaffolding and tool boilerplate. Running `mcp create app` creates a complete MCP server project with build configuration, dependencies, and example tools. The `mcp add tool` command generates a new tool class with schema template and execute method stub, reducing manual setup time.
Unique: Provides a two-level CLI scaffolding system: project-level (`mcp create app`) for full server setup and tool-level (`mcp add tool`) for incremental tool generation. This allows developers to bootstrap a project and then add tools incrementally without manual boilerplate.
vs alternatives: Faster project initialization than manually creating TypeScript projects and tool classes; comparable to other framework CLIs but specifically optimized for MCP server patterns.
The framework implements the Model Context Protocol (MCP) server specification, exposing tools, resources, and prompts to MCP-compatible clients (Claude Desktop, Cursor, etc.). Tools are the primary capability with full implementation; resources and prompts are mentioned as auto-discoverable from `resources/` and `prompts/` directories but lack documented implementation details. The framework handles all MCP protocol compliance, message serialization, and client communication.
Unique: Provides a complete MCP server implementation that handles protocol compliance, message routing, and client communication, allowing developers to focus on tool logic rather than protocol details. Auto-discovery of tools, resources, and prompts from directory structure reduces configuration overhead.
vs alternatives: More complete than building MCP servers from scratch using raw protocol libraries; abstracts protocol complexity while maintaining flexibility through transport and auth customization.
+4 more capabilities
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 MCP-Framework at 23/100. MCP-Framework leads on quality, while Supabase is stronger on ecosystem. Supabase also has a free tier, making it more accessible.
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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