| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Paid | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides a graphical interface for discovering, downloading, and installing MCP (Model Context Protocol) servers across Windows, Linux, and macOS platforms. The UI abstracts away manual configuration file editing and CLI-based installation workflows, presenting available servers in a browsable catalog with one-click installation that handles platform-specific binary selection, dependency resolution, and configuration file generation automatically.
Unique: Provides a cross-platform native UI for MCP server management instead of requiring users to manually edit configuration files or use CLI tools — handles platform-specific binary selection and dependency resolution transparently within the UI layer
vs alternatives: Eliminates the friction of manual MCP server configuration compared to editing Claude Desktop config.json or using raw CLI installers, making MCP adoption accessible to non-technical users
Manages the full lifecycle of installed MCP servers — starting, stopping, restarting, and removing servers — with a unified interface across Windows, Linux, and macOS. The UI likely wraps platform-specific process management (Windows Services, systemd on Linux, launchd on macOS) and provides real-time status monitoring, logs, and error reporting for each running server instance.
Unique: Abstracts platform-specific process management (systemd, launchd, Windows Services) into a single UI, allowing users to manage MCP servers identically across operating systems without learning platform-specific tools
vs alternatives: Simpler than managing MCP servers through OS-specific tools or CLI commands; provides unified status visibility across heterogeneous environments
Provides a UI for editing MCP server configuration parameters (environment variables, connection settings, resource limits, etc.) with schema-aware validation and error feedback. The editor likely parses server manifests or schemas to present only valid configuration options, validates inputs before applying changes, and prevents misconfiguration that would cause server startup failures.
Unique: Provides schema-aware configuration editing with real-time validation instead of requiring users to manually edit raw configuration files and test them through trial-and-error server restarts
vs alternatives: Reduces configuration errors and server startup failures compared to manual JSON editing; provides immediate feedback on invalid settings
Detects available updates for installed MCP servers, displays version information, and provides one-click upgrade functionality that downloads new binaries, backs up existing configurations, and applies updates with rollback capability if needed. The system tracks installed versions against the server catalog and notifies users of available updates.
Unique: Centralizes MCP server version tracking and updates in a UI rather than requiring manual binary downloads and configuration backups; provides rollback capability to recover from failed updates
vs alternatives: Safer than manual server upgrades because it automates backup and rollback; more discoverable than checking individual server repositories for updates
Enables deployment of the same MCP server configuration across multiple machines (Windows, Linux, macOS) with configuration synchronization and consistency verification. The system likely supports exporting server configurations as portable profiles that can be imported on other machines, with validation that the target environment meets server requirements.
Unique: Provides cross-platform configuration export/import for MCP servers rather than requiring manual setup on each machine; includes consistency verification to ensure deployed configurations match intended state
vs alternatives: Faster team onboarding than manual MCP server installation on each machine; reduces configuration drift across team environments
Analyzes system environment and installed MCP servers to detect dependency conflicts, version incompatibilities, and missing prerequisites before installation or startup. The system checks for required system libraries, Python/Node.js versions, API key availability, and inter-server dependencies, providing detailed reports of issues and remediation steps.
Unique: Proactively checks system compatibility and dependencies before MCP server installation rather than discovering issues at runtime; provides remediation guidance instead of just error messages
vs alternatives: Prevents failed installations and startup errors compared to discovering dependency issues after installation; clearer troubleshooting path than generic error messages
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-dockmaster at 18/100. 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