| Ecosystem |
| 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Automatically generates a Model Context Protocol server that exposes Stripe API endpoints as callable tools. The tool introspects Stripe's OpenAPI schema, maps REST endpoints to MCP tool definitions with proper parameter validation and response typing, and scaffolds a Node.js/TypeScript server that Claude or other MCP clients can invoke. This eliminates manual tool definition and keeps the schema in sync with Stripe API updates.
Unique: Directly leverages Stripe's OpenAPI schema to auto-generate MCP tool definitions with parameter validation and response typing, rather than requiring manual tool registration or custom adapter code. Integrates Stripe's native authentication and error handling into the MCP protocol layer.
vs alternatives: Eliminates boilerplate compared to manually wrapping Stripe SDK calls in MCP tools, and stays synchronized with Stripe API changes without code updates.
Provides a command-line interface to initialize, configure, and launch the Stripe MCP server with sensible defaults. The CLI handles environment variable setup (API key injection), server port binding, and process lifecycle (start/stop/restart). It abstracts away Node.js server configuration details and provides a single entry point for non-backend developers to stand up a working Stripe MCP server.
Unique: Wraps Stripe API key injection and MCP server initialization in a single CLI command, removing the need for developers to manually configure Node.js environment variables or understand MCP server architecture. Provides opinionated defaults that work out-of-the-box.
vs alternatives: Simpler onboarding than manually cloning an MCP server template and configuring it, with built-in Stripe-specific defaults vs generic MCP server frameworks.
Translates Stripe REST API endpoints and their request/response schemas into MCP tool definitions with strict parameter validation, type coercion, and error handling. Each Stripe API operation (e.g., POST /v1/charges, GET /v1/customers/{id}) becomes a callable MCP tool with JSON schema validation for inputs and structured response typing. The mapping preserves Stripe's parameter semantics (required vs optional, enums, numeric ranges) and enforces them at the MCP layer.
Unique: Automatically derives MCP tool schemas from Stripe's OpenAPI spec, preserving parameter constraints (required, enums, ranges) and enforcing them at the MCP layer before requests reach Stripe. Avoids manual schema maintenance.
vs alternatives: More robust than generic REST-to-MCP adapters because it understands Stripe-specific semantics and constraints, reducing invalid API calls vs unvalidated function calling.
Manages Stripe API key injection into the MCP server runtime, supporting both environment variables and CLI arguments. The server uses the provided API key to authenticate all outbound Stripe API requests via Bearer token in the Authorization header. Credentials are isolated to the server process and not exposed to the MCP client — the client calls tools without handling authentication directly.
Unique: Encapsulates Stripe authentication within the MCP server process, so the LLM client never handles raw API keys. Uses standard HTTP Bearer token authentication matching Stripe's native SDK approach.
vs alternatives: More secure than passing API keys to the client or requiring the client to manage authentication, and simpler than implementing custom OAuth or token exchange flows.
Implements the Model Context Protocol specification, exposing Stripe tools as callable functions that MCP clients (Claude, etc.) can discover and invoke. The server handles MCP request/response serialization, tool discovery (listing available Stripe operations), and routes tool calls to the appropriate Stripe API endpoint. It manages the MCP transport layer (stdio, HTTP, or other transports) and ensures responses conform to MCP schema.
Unique: Fully implements MCP specification for tool exposure, handling protocol serialization, transport abstraction, and tool discovery without requiring clients to understand Stripe API details. Bridges the gap between MCP clients and Stripe REST API.
vs alternatives: Standards-compliant MCP implementation vs custom REST adapters or proprietary tool-calling protocols, enabling interoperability with any MCP-aware client.
Catches Stripe API errors (authentication failures, validation errors, rate limits, server errors) and translates them into MCP-compatible error responses. The server normalizes Stripe's error format (error type, message, code) into structured MCP error objects that clients can parse and handle programmatically. Includes retry logic for transient failures (5xx errors, rate limits) with exponential backoff.
Unique: Implements Stripe-aware error handling with automatic retries for transient failures, translating Stripe's native error format into MCP-compliant error responses. Abstracts away Stripe-specific error codes and retry semantics from the client.
vs alternatives: More resilient than naive error pass-through because it includes retry logic and error normalization, vs requiring clients to implement their own Stripe error handling.
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 @stripe/mcp at 21/100. @stripe/mcp leads on ecosystem, while Supabase is stronger on quality.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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