Supabase ranks higher at 42/100 vs Dub.co Link Shortener Server at 28/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | Dub.co Link Shortener Server | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 28/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality | 0 |
| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to generate a new short link by sending a POST request to the Dub.co server with the target URL. It utilizes a unique hashing algorithm to create a compact representation of the original URL, ensuring that each short link is unique and easily retrievable. The server maintains a mapping of original URLs to their short counterparts in a database, allowing for efficient lookups and management.
Unique: Employs a custom hashing algorithm that optimizes for speed and uniqueness, reducing collision rates compared to standard URL shortening methods.
vs alternatives: More efficient in generating unique short links than traditional services due to its optimized hashing approach.
Users can modify the destination of an existing short link by sending a PUT request to the Dub.co server with the new URL and the short link identifier. This capability leverages a RESTful API design, allowing for straightforward updates while maintaining the original short link's identifier. The server ensures that the new URL is validated before updating the database entry.
Unique: Utilizes a RESTful design that allows for seamless updates without needing to regenerate the short link, preserving user access.
vs alternatives: More flexible than traditional services that require link regeneration for updates.
This capability enables users to remove a short link from the Dub.co server by sending a DELETE request with the short link identifier. The server processes the request by checking the identifier against its database and removing the corresponding entry, ensuring that the link can no longer be accessed. This operation is designed to be efficient and secure, preventing unauthorized deletions.
Unique: Implements a secure deletion process that verifies user permissions before allowing link removal, enhancing security.
vs alternatives: More secure than other services that do not verify user permissions before deletion.
This capability allows users to retrieve a list of all short links associated with their account by sending a GET request to the Dub.co server. The server responds with a structured list of short links, including their original URLs and creation dates. This feature is implemented using pagination to handle large datasets efficiently, ensuring quick access to link data.
Unique: Utilizes pagination and filtering to efficiently manage large sets of short links, improving usability for users with many links.
vs alternatives: More user-friendly than alternatives that return all links in a single response, which can be overwhelming.
This capability allows developers to seamlessly integrate the Dub.co link shortener with AI agents by providing an API that can be called from within the agent's workflow. The server supports webhook notifications for link creation and updates, enabling real-time updates to AI agents. This integration is designed to be straightforward, allowing for quick setup and minimal configuration.
Unique: Offers a dedicated API for AI agents, including webhook support for real-time updates, which is not commonly found in other link shorteners.
vs alternatives: More integrated than traditional link shorteners, which typically lack direct support for AI workflows.
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 Dub.co Link Shortener Server at 28/100.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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