Supabase ranks higher at 42/100 vs Sendmarc Read-Only Reporting Server at 29/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | Sendmarc Read-Only Reporting Server | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 29/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality |
| 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to securely retrieve a list of accounts associated with their Sendmarc service without the risk of modifying any data. It employs a read-only access control mechanism that ensures users can only view account details, leveraging the Model Context Protocol (MCP) for structured data retrieval. This architecture prevents unauthorized changes while providing a clear and efficient interface for account management.
Unique: Utilizes a strict read-only access control model that integrates seamlessly with MCP, ensuring data integrity.
vs alternatives: More secure than traditional API access methods by enforcing read-only permissions at the protocol level.
This capability enables users to fetch detailed reporting data for specific domains managed under their Sendmarc account. It uses a structured query approach to access domain settings and DMARC-related information, ensuring that users receive comprehensive insights without the risk of altering any configurations. The integration with Smithery allows for scalable data consumption, making it easy to visualize and analyze domain performance.
Unique: Incorporates a structured query mechanism that allows for detailed and safe retrieval of domain reports, enhancing data integrity.
vs alternatives: Offers more granular reporting capabilities compared to standard APIs by leveraging MCP for structured data access.
This capability allows users to retrieve a list of users associated with their Sendmarc account, providing insights into user roles and permissions. It employs a read-only API endpoint that ensures users can view user details without the ability to modify them, thereby maintaining security and integrity. The architecture supports integration with external tools for enhanced user management and reporting.
Unique: Features a read-only user management API that integrates with MCP, ensuring secure access to user information.
vs alternatives: More secure than traditional user management APIs by enforcing strict read-only access.
This capability allows users to access detailed DMARC settings for their domains within Sendmarc. It utilizes a structured API call that ensures users can view configurations and policies without the risk of making changes. The integration with Smithery facilitates easy data consumption for reporting and analysis, making it suitable for users needing insights into their email authentication strategies.
Unique: Employs a structured API approach to retrieve DMARC settings securely, enhancing compliance and reporting capabilities.
vs alternatives: Provides more detailed DMARC insights compared to standard APIs by ensuring read-only access through MCP.
This capability facilitates seamless integration with Smithery for scalable data consumption from Sendmarc. It leverages the MCP architecture to provide a consistent data access layer, allowing users to pull reporting data into external dashboards and analytics tools without the risk of modification. This integration supports various data formats, making it versatile for different use cases.
Unique: Offers a dedicated integration layer with Smithery that utilizes MCP for secure and efficient data access.
vs alternatives: More robust than standard API integrations by providing a structured approach to data consumption in Smithery.
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 Sendmarc Read-Only Reporting Server at 29/100.
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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
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