| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 7 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Creates a Model Context Protocol server instance pre-configured with SolvaPay-specific tool registry and OAuth bridge bindings. Uses the @modelcontextprotocol/sdk base server factory pattern, wrapping it with SolvaPay's payment domain context (merchant accounts, transaction routing, webhook handlers). The createSolvaPayMcpServer function initializes the server with built-in tool discovery and registers payment-specific resources without requiring manual schema definition.
Unique: Pre-wires SolvaPay payment domain context directly into MCP server factory, eliminating manual tool schema definition and OAuth bridge setup — developers get a payment-ready server in one function call rather than assembling MCP primitives
vs alternatives: Faster than building custom MCP servers from @modelcontextprotocol/sdk alone because SolvaPay-specific tool schemas, error handling, and OAuth flows are pre-integrated rather than hand-coded
Provides two parallel OAuth credential exchange implementations — one for fetch-based runtimes (Cloudflare Workers, Deno, edge functions) and one for Express.js servers — that normalize OAuth flows to a common interface. Each variant handles provider-specific token exchange, refresh token rotation, and credential storage without requiring developers to write OAuth boilerplate. The adapter abstracts away HTTP client differences (fetch vs axios) and server framework patterns (middleware vs handler functions).
Unique: Dual-implementation pattern (fetch + Express) with unified interface allows same OAuth logic to run on edge functions and traditional servers without adapter layers — achieved via runtime detection and conditional imports rather than abstract base classes
vs alternatives: More portable than passport.js (Express-only) or custom OAuth handlers because it natively supports both serverless and traditional runtimes with identical credential semantics
Registers payment-specific tool handlers into the MCP tool registry using a declarative schema system (registerPayableTool function). Each tool definition includes JSON schema for inputs, output type hints, and a handler function that receives normalized payment context (merchant ID, transaction state, audit trail). The registration system validates schemas at initialization time and binds handlers to MCP's function-calling protocol, enabling LLMs to invoke payment operations with type safety and automatic input validation.
Unique: Combines MCP tool registration with payment-domain context injection — handlers receive pre-bound merchant ID and transaction state rather than requiring developers to extract context from raw LLM inputs, reducing error surface in financial operations
vs alternatives: Safer than raw function calling because schema validation + audit logging are mandatory, not optional — prevents malformed payment requests and creates compliance-ready transaction records automatically
Automatically discovers and exposes available payment tools and resources through the MCP resource protocol, allowing LLM clients to query what operations are available without hardcoding tool lists. The discovery mechanism scans the registered tool registry at runtime and generates MCP-compatible resource descriptions (name, description, input schema, output type). This enables dynamic tool discovery in Claude Desktop and other MCP clients that support resource enumeration.
Unique: Integrates with MCP's native resource protocol rather than implementing custom discovery endpoints — allows MCP clients to use standard resource queries to enumerate payment tools, maintaining protocol compatibility
vs alternatives: More discoverable than custom API documentation because MCP clients can query available tools programmatically and render them in UI, vs requiring developers to read docs or maintain tool lists
Routes incoming webhook events from SolvaPay (transaction completed, refund processed, dispute filed) to registered event handlers via an event emitter pattern. The webhook adapter validates webhook signatures using HMAC-SHA256, deserializes payment event payloads, and dispatches them to handler functions that can trigger side effects (database updates, LLM notifications, compliance alerts). Supports both synchronous handlers (return immediately) and asynchronous handlers (queue for background processing).
Unique: Combines webhook signature validation with MCP tool invocation — handlers can directly call registered payment tools to respond to events, enabling closed-loop payment automation (e.g., webhook triggers refund tool, which updates LLM agent state)
vs alternatives: More secure than custom webhook handlers because HMAC validation is mandatory and built-in, vs requiring developers to implement signature verification separately
Automatically enriches payment tool handler context with transaction metadata (merchant ID, user ID, timestamp, LLM model/session ID) and generates immutable audit trail entries for every payment operation. The enrichment layer intercepts tool calls, extracts context from the MCP request envelope, and injects it into handler functions. Audit entries include the original LLM prompt, tool inputs, outputs, and any errors, enabling post-hoc compliance review and debugging of AI-driven payment decisions.
Unique: Intercepts MCP tool calls at the framework level to inject transaction context and generate audit entries automatically — developers don't need to manually log or track context, reducing compliance burden and error surface
vs alternatives: More comprehensive than manual logging because it captures the full decision chain (prompt → tool call → result) automatically, vs requiring developers to instrument each payment operation separately
Abstracts payment operations (charge, refund, reconcile) across multiple payment providers (SolvaPay, Stripe, PayPal) through a unified tool interface. Each provider has a backend implementation that translates normalized tool calls to provider-specific APIs, handles provider-specific error codes, and normalizes responses back to a common schema. The abstraction layer allows LLM agents to invoke payment tools without knowing which provider is configured, enabling provider switching without changing agent code.
Unique: Implements provider abstraction at the tool handler level rather than as a separate adapter layer — each registered tool has a provider-specific backend, allowing LLM clients to call tools without knowing provider details
vs alternatives: More flexible than provider-specific SDKs because agents can work with any provider without code changes, vs Stripe SDK or PayPal SDK which lock you into a single provider
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 @solvapay/mcp at 24/100.
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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