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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes a queryable interface to browse and enumerate all registered domains within a domain catalog through MCP protocol bindings. The capability implements a registry pattern where domains are stored in a structured format (likely JSON or database-backed) and exposed via standardized MCP tool endpoints, allowing clients to list, filter, and iterate through the complete domain inventory without requiring direct database access or custom API implementations.
Unique: Implements domain registry as an MCP-native tool rather than a REST API, enabling seamless integration into Claude and other MCP-compatible agents without requiring separate HTTP client code or authentication token management
vs alternatives: Simpler integration than domain registrar APIs (GoDaddy, Namecheap) because it uses MCP's native tool-calling protocol and requires no API key rotation or rate-limit handling
Retrieves comprehensive metadata for a specific domain by querying the registry with a domain name as the lookup key. The implementation uses a key-value or relational lookup pattern where domain names are indexed for O(1) or O(log n) retrieval, returning structured metadata including registration date, registrar, DNS records, SSL certificate info, and ownership details. This capability bridges the MCP protocol with the underlying domain data store through a single-domain query endpoint.
Unique: Provides domain metadata lookup through MCP's stateless tool interface, avoiding the need for persistent connections or session management required by traditional WHOIS or registrar APIs
vs alternatives: Faster than WHOIS queries because it returns pre-cached metadata from a local or managed registry rather than performing real-time lookups across distributed registrar systems
Exposes domain registry operations as MCP-compatible tools that can be called by Claude and other MCP-aware agents through the Model Context Protocol. The implementation registers domain-related functions (browse, lookup) as MCP tools with JSON schema definitions, parameter validation, and error handling, allowing seamless composition with other MCP tools in multi-step agent workflows. This capability abstracts the domain registry behind a standardized tool interface that MCP clients can discover and invoke.
Unique: Implements domain operations as first-class MCP tools with full schema support, enabling Claude and other agents to discover, validate, and invoke domain queries without custom integration code
vs alternatives: More composable than custom API wrappers because MCP's standardized tool interface allows agents to automatically discover and chain domain operations with other MCP tools in the same workflow
Maintains a persistent, organized domain catalog that serves as the backing store for all domain queries and enumeration operations. The implementation uses a structured data model (likely JSON files, SQLite, or a lightweight database) to store domain records with consistent schema, supporting CRUD operations at the backend level. This capability ensures domain data remains accessible across multiple MCP client sessions and provides a single source of truth for domain inventory.
Unique: Provides MCP-accessible domain persistence without requiring external database setup — the catalog is self-contained within the Geobed server, reducing operational complexity
vs alternatives: Simpler than managing domain data in a separate database because the catalog is co-located with the MCP server and requires no additional infrastructure or authentication
Enables rapid domain research and documentation generation by providing instant access to domain metadata through MCP tool calls, eliminating manual lookups across multiple registrar portals or WHOIS services. The capability supports use cases where developers or security teams need to quickly gather domain information for reports, audits, or troubleshooting without context-switching to external tools. Integration with Claude allows natural language queries like 'summarize the status of all domains expiring in the next 30 days' to be executed programmatically.
Unique: Combines MCP domain tool access with Claude's natural language capabilities to enable conversational domain research — users can ask questions in plain English and receive synthesized reports without writing queries
vs alternatives: Faster than manual registrar portal navigation because Claude can query all domains and generate summaries in a single interaction, reducing research time from hours to minutes
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 Geobed at 28/100.
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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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