| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to submit bugs through a structured interface that integrates with the MCP framework, enabling seamless communication between users and developers. It employs a RESTful API for bug posting and tracking, ensuring that all submissions are logged and can be referenced later. The system uses a unique identifier for each bug, facilitating easy tracking and updates.
Unique: Utilizes a structured API for bug tracking that integrates directly with multiple MCP clients, allowing for real-time updates and notifications.
vs alternatives: More streamlined than traditional bug trackers because it integrates directly with coding environments, reducing context-switching.
This capability enables users to run website diagnostics directly from the MCP interface, leveraging built-in diagnostic scripts that analyze performance and identify potential issues. The diagnostics are executed in a sandboxed environment to ensure safety and reliability, providing users with actionable insights based on real-time data.
Unique: Incorporates a library of diagnostic scripts that can be executed on-demand, providing tailored insights based on the specific context of the user's project.
vs alternatives: Offers more comprehensive diagnostics than standalone tools by integrating directly with the user's workflow and context.
This capability allows users to browse, post, and manage bug bounties through an intuitive interface that connects to the MCP server. It utilizes a dynamic listing system that updates in real-time, allowing users to see the latest bounties and their statuses. The system also supports filtering and sorting options to help users find relevant bounties quickly.
Unique: Features a real-time updating bounty board that integrates with user profiles, allowing for personalized bounty recommendations based on previous activity.
vs alternatives: More interactive and user-friendly than traditional bounty platforms, as it integrates directly with the coding workflow.
This capability allows users to submit code fixes for reported bugs, which are then reviewed by other developers within the platform. It employs a peer-review system where fixes can be commented on and rated, ensuring quality control. The integration with version control systems allows for easy tracking of changes and rollback if necessary.
Unique: Incorporates a peer-review mechanism that allows for collaborative quality assurance of submitted fixes, enhancing community engagement.
vs alternatives: More community-driven than traditional code review systems, fostering collaboration among developers.
This capability provides real-time collaboration features that allow multiple users to work on bug fixes and diagnostics simultaneously. It uses WebSockets for low-latency communication, enabling instant updates and feedback among team members. The collaborative environment supports shared coding sessions and live discussions, enhancing teamwork.
Unique: Utilizes WebSockets for real-time communication, allowing for seamless collaboration without the lag typically associated with traditional tools.
vs alternatives: More responsive than typical collaboration tools due to its real-time architecture, enhancing developer productivity.
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 vibefix-mcp at 30/100.
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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