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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 12 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements a transparent MCP protocol proxy (MCPProxy class) that intercepts and forwards all JSON-RPC messages between MCP clients and child servers without protocol modification. Uses ProcessManager for lifecycle management and maintains client connections across server restarts by preserving the proxy socket layer, enabling seamless context retention during development iterations.
Unique: Uses transparent JSON-RPC forwarding at the protocol level rather than wrapping individual tool calls, preserving full MCP semantics while injecting restart capability. Session persistence is achieved by maintaining the proxy socket across child process restarts, not by storing state in external systems.
vs alternatives: Differs from manual restart workflows by eliminating context loss; differs from client-side hot-reload by operating at the protocol layer without requiring client modifications.
Implements CapabilityAugmenter that intercepts the server's initialize response and injects a synthetic restart_server tool into the capabilities list. When called, this tool triggers RestartHandler to spawn a new child process and seamlessly reconnect the proxy, enabling AI clients to autonomously restart the server without manual intervention or special knowledge of the underlying process management.
Unique: Injects restart capability at the MCP protocol level by modifying the initialize response, making restart a first-class tool rather than a hidden proxy feature. This allows AI clients to discover and invoke restart autonomously without special configuration.
vs alternatives: More elegant than requiring clients to implement restart logic or developers to manually add restart endpoints; more discoverable than hidden CLI commands.
Implements ConfigurationSystem that reads settings from environment variables (MCP_SERVER_COMMAND, MCP_SERVER_ARGS, etc.) and CLI arguments, with environment variables taking precedence. Supports configuration of server command, arguments, working directory, environment variables, and transport settings. Configuration is applied at startup and affects both proxy and inspection modes, enabling flexible deployment without code changes.
Unique: Uses environment variables as primary configuration mechanism, enabling deployment flexibility without code changes. CLI arguments provide override capability for development workflows.
vs alternatives: More flexible than hardcoded configuration; simpler than configuration file management; compatible with standard deployment practices.
Implements message interception at the JSON-RPC level to augment capabilities, inject tools, and modify responses without altering protocol semantics. Uses middleware-style pattern where messages flow through CapabilityAugmenter and RestartHandler before forwarding to client or server. Enables non-invasive modifications to server behavior (e.g., adding restart_server tool) without modifying the server implementation or breaking protocol compliance.
Unique: Implements middleware-style message interception at the JSON-RPC level, enabling non-invasive augmentation without breaking protocol compliance. Separates augmentation logic (CapabilityAugmenter) from proxy forwarding logic (MCPProxy).
vs alternatives: More elegant than server-side modifications; more transparent than client-side wrapping; preserves protocol semantics.
Implements ProcessManager that handles spawning, monitoring, and respawning of child MCP server processes. Tracks process state, captures stdout/stderr, manages signal handling, and automatically respawns on crash or explicit restart request. Integrates with RestartHandler to coordinate graceful termination and reconnection, ensuring the proxy can maintain client connections across process boundaries.
Unique: Couples process lifecycle with proxy session persistence — respawned processes automatically reconnect through the same proxy socket, preserving client context. Uses ProcessManager abstraction to decouple lifecycle logic from proxy forwarding logic.
vs alternatives: More integrated than generic process managers (PM2, systemd) because it understands MCP protocol semantics and coordinates with proxy state; more lightweight than full orchestration platforms.
Implements 8 inspection commands (list-tools, call-tool, list-resources, read-resource, list-prompts, get-prompt, server-info, ping) that spawn a fresh child server process per command, execute the inspection, and return JSON-formatted results. Uses SimpleClient to communicate with the spawned server via stdio, providing a stateless testing interface that requires no persistent client connection or configuration.
Unique: Provides stateless, one-shot inspection without requiring persistent client setup or configuration. Each command spawns a fresh server instance, making it ideal for CI/CD and automated testing. JSON output is designed for machine parsing and automation.
vs alternatives: Simpler than setting up VSCode or Claude Code for testing; more scriptable than interactive clients; faster iteration than manual client configuration.
Implements optional persistent mode (inspect mcp command) that runs the inspection CLI as a full MCP server, exposing debug tools (list-tools, call-tool, etc.) as MCP tools themselves. This allows AI clients to introspect and test the child server through the inspection interface, bridging CLI inspection capabilities with full MCP client workflows by wrapping stateless commands in a persistent server wrapper.
Unique: Wraps stateless CLI inspection commands in a persistent MCP server layer, allowing AI clients to access inspection capabilities through standard MCP tool invocation. Bridges the gap between lightweight CLI testing and full client integration.
vs alternatives: More flexible than CLI-only inspection because it integrates with AI clients; more lightweight than proxy mode because it doesn't maintain persistent child server state.
Supports multiple MCP client transports (stdio for VSCode/Cursor/Windsurf, TCP for remote clients) through configurable transport layer. Proxy mode automatically detects and adapts to the client's transport mechanism, enabling the same reloaderoo instance to work with different AI IDEs without configuration changes. Transport abstraction is handled at the JSON-RPC message level, preserving protocol semantics across transport boundaries.
Unique: Abstracts transport mechanism at the JSON-RPC message layer, allowing the same proxy logic to work with stdio and TCP clients without duplication. Automatic detection for stdio means zero configuration for local development.
vs alternatives: More flexible than client-specific solutions; more transparent than requiring separate proxy instances per client type.
+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 Reloaderoo at 27/100.
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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