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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Converts MCP servers using stdio (standard input/output) transport into HTTP-based Server-Sent Events (SSE) endpoints. The proxy spawns a child process running the stdio-based MCP server, captures its stdout/stderr streams, parses the JSONRPC message protocol, and re-exposes it as an SSE HTTP server. This enables stdio-native MCP servers (which expect bidirectional pipe communication) to be accessed over HTTP without modifying the original server implementation.
Unique: Specifically targets the MCP ecosystem's stdio transport gap by implementing a lightweight Node.js proxy that parses JSONRPC frames from child process streams and re-exposes them as HTTP/SSE without requiring server-side modifications or custom protocol handlers.
vs alternatives: Simpler and more MCP-native than generic stdio-to-HTTP proxies (like socat) because it understands JSONRPC framing and MCP semantics, enabling proper message demultiplexing and error handling.
Manages the spawning, monitoring, and cleanup of stdio-based MCP server child processes. The proxy handles process creation with proper environment setup, monitors process health and exit codes, captures and logs stderr output, and implements graceful shutdown with signal handling. This ensures the underlying MCP server process remains stable and recovers from transient failures or is properly terminated when the proxy shuts down.
Unique: Implements MCP-aware child process management that understands JSONRPC protocol semantics, allowing it to detect protocol-level failures (malformed messages, server hangs) in addition to OS-level process crashes.
vs alternatives: More lightweight than external process managers (systemd, Docker) for single-server deployments while still providing basic health monitoring and clean shutdown semantics.
Parses JSONRPC 2.0 messages from the raw byte stream of a child process's stdout, handling message boundaries, incomplete frames, and protocol errors. The proxy buffers incoming data, detects complete JSON objects (via brace matching or length prefixes if used by the server), validates JSONRPC structure (id, method, params, result, error fields), and queues messages for processing. This enables reliable bidirectional communication with stdio servers that send multiple messages in rapid succession or split messages across multiple write() calls.
Unique: Implements JSONRPC framing specifically for MCP's stdio transport, handling the nuances of how MCP servers (like Claude's tools) emit messages without relying on external parsing libraries or length-prefix conventions.
vs alternatives: More robust than naive line-by-line parsing because it handles multi-line JSON and detects complete objects before attempting to parse, reducing protocol desynchronization errors.
Exposes the bridged MCP server as an HTTP endpoint that clients can connect to via Server-Sent Events (SSE). The proxy creates an HTTP server (using Node.js http or Express), implements an SSE endpoint (typically /sse or /stream) that accepts client connections, and streams JSONRPC responses back to connected clients as SSE events. Clients send requests via HTTP POST to a separate endpoint (e.g., /request) or embed them in the SSE connection, and the proxy routes responses back via the SSE stream. This enables web browsers and HTTP-only clients to interact with stdio MCP servers.
Unique: Implements MCP-specific SSE streaming that preserves JSONRPC request-response correlation across HTTP connections, enabling stateless HTTP clients to interact with stateful MCP servers without custom protocol logic.
vs alternatives: Simpler than WebSocket-based approaches because SSE is natively supported in browsers and requires less client-side code, though at the cost of unidirectional communication.
Maintains mapping between JSONRPC request IDs sent by HTTP clients and responses streamed back via SSE, ensuring each client receives only its own responses even when multiple clients are connected simultaneously. The proxy tracks pending requests in a map keyed by JSONRPC id, routes incoming responses from the stdio server back to the correct SSE client connection, and cleans up stale entries on client disconnect. This enables multiplexing of multiple concurrent MCP clients over a single stdio server connection.
Unique: Implements JSONRPC-aware request correlation that leverages the protocol's built-in id field for multiplexing, avoiding the need for custom request tracking or session management.
vs alternatives: More efficient than per-client stdio connections because it multiplexes all clients through a single server process, reducing resource overhead and enabling shared server state.
Handles the MCP initialization handshake between the proxy and the underlying stdio server, exchanging protocol version information, client/server capabilities, and implementation details. The proxy sends an initialize request with client capabilities (supported tools, resources, etc.), receives the server's capabilities response, and caches this metadata for subsequent client requests. This ensures the proxy correctly advertises what the MCP server can do and validates that the server supports required protocol features.
Unique: Implements MCP-specific initialization that caches server capabilities for the lifetime of the proxy, enabling efficient capability queries without repeated round-trips to the stdio server.
vs alternatives: More efficient than lazy capability discovery because it pre-fetches and caches all server metadata at startup, reducing latency for subsequent client requests.
Routes tool invocation requests from HTTP clients through the stdio server and streams results back via SSE. When a client sends a call_tool request, the proxy forwards it to the stdio server via stdin, waits for the tool_result response, and streams the result back to the client via SSE. The proxy handles tool execution errors, timeout scenarios, and large result payloads that may span multiple SSE events. This enables web clients to invoke MCP tools without understanding the underlying stdio protocol.
Unique: Implements MCP tool invocation that preserves streaming semantics across the HTTP/SSE boundary, allowing clients to consume tool results incrementally without waiting for full completion.
vs alternatives: More efficient than request-response polling because it uses SSE streaming to push results to clients in real-time, reducing latency and client complexity.
Exposes MCP resources (files, documents, etc.) as HTTP endpoints that clients can fetch via read_resource requests. The proxy implements a /resource or /read endpoint that accepts resource URIs, forwards read_resource requests to the stdio server, and returns the resource content as HTTP responses. This enables web clients to browse and retrieve MCP resources without understanding the MCP resource protocol or stdio transport.
Unique: Implements MCP resource retrieval that maps resource URIs to HTTP endpoints, enabling web clients to fetch resources using standard HTTP semantics without MCP protocol knowledge.
vs alternatives: Simpler than implementing a custom resource server because it reuses the existing MCP server's resource logic, reducing duplication and maintenance burden.
+2 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-proxy at 23/100.
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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