| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 11 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes email management operations as MCP server tools that LLM clients can invoke through the ModelContextProtocol standard. Implements the MCP tool schema to define email operations (send, read, delete, etc.) with typed parameters and responses, allowing Claude or other MCP-compatible clients to discover and call email functions via the MCP transport layer without direct API knowledge.
Unique: Uses ModelContextProtocol as the integration layer instead of REST APIs or webhooks, enabling declarative tool discovery and standardized LLM-to-email communication without custom client code
vs alternatives: Provides protocol-level standardization for email agents (vs. point-to-point REST integrations), making it compatible with any MCP-aware LLM client without custom adapters
Implements a typed MCP tool that accepts email composition parameters (to, cc, bcc, subject, body, attachments) and executes the send operation through the underlying email provider (SMTP, API, etc.). The tool schema defines strict parameter validation and response formats, ensuring type safety and predictable LLM invocation behavior.
Unique: Wraps email send as a typed MCP tool with schema-based parameter validation, enabling LLMs to compose emails with guaranteed field presence and structured response handling
vs alternatives: Safer than raw SMTP libraries for LLM use because schema validation prevents malformed emails before sending, vs. libraries like Nodemailer that require manual validation in agent code
Manages email attachments by validating file types, sizes, and scanning for malware before sending/receiving. Implements attachment extraction from received emails and provides file metadata (filename, MIME type, size) to agents. Supports optional virus scanning integration for security.
Unique: Provides centralized attachment validation and optional malware scanning, preventing agents from sending/receiving dangerous files without explicit security checks
vs alternatives: Safer than agents handling attachments directly because validation and scanning are enforced at the integration layer, vs. agents that blindly process files
Exposes an MCP tool that queries the email inbox/folders with optional filters (sender, subject, date range, read status) and returns paginated results with email metadata (from, to, subject, date, preview). Implements query parameter validation and result formatting to ensure LLM agents receive structured, actionable email data without raw MIME parsing.
Unique: Provides structured email retrieval through MCP tool schema with built-in filtering and pagination, abstracting away IMAP/API complexity while maintaining type safety for LLM consumption
vs alternatives: Simpler for agents than raw IMAP libraries because filters are pre-defined in the tool schema, preventing agents from constructing invalid queries vs. libraries like imap that require manual query syntax
Implements MCP tools for destructive email operations (delete, archive, move to folder) with message ID-based targeting and confirmation responses. Includes safety patterns like soft-delete (archive) as the default destructive action and explicit confirmation in tool responses to prevent accidental data loss.
Unique: Wraps destructive email operations in MCP tools with explicit confirmation responses and soft-delete defaults, adding safety guardrails for LLM-driven email management
vs alternatives: Safer than direct IMAP delete because confirmation responses allow agents to verify success before continuing, vs. fire-and-forget API calls that may silently fail
Parses raw email data (MIME, API responses) and normalizes it into a consistent schema (sender, recipient, subject, date, body, attachments) that MCP tools can return. Handles encoding variations, multipart MIME structures, and provider-specific metadata formats to ensure LLM agents receive clean, predictable email data.
Unique: Abstracts provider-specific email formats into a unified schema, enabling MCP tools to work across Gmail, Outlook, and custom SMTP without conditional logic per provider
vs alternatives: More robust than manual MIME parsing in agent code because it handles encoding edge cases and provider variations automatically, vs. agents that parse raw email strings
Implements a pluggable provider interface that allows swapping between email backends (SMTP, Gmail API, Outlook API, etc.) without changing MCP tool definitions. Each provider implements a common interface (send, retrieve, delete, etc.) and handles provider-specific authentication, rate limiting, and API quirks internally.
Unique: Decouples MCP tool definitions from email provider implementations via a pluggable interface, allowing new providers to be added without modifying tool schemas or agent code
vs alternatives: More maintainable than hardcoding provider logic in tools because changes to one provider don't affect others, vs. monolithic implementations that require tool refactoring per provider
Handles secure storage and retrieval of email provider credentials (API keys, OAuth tokens, SMTP passwords) with support for environment variables, encrypted config files, or external secret managers. Implements token refresh logic for OAuth providers and credential validation before tool execution to prevent auth failures mid-operation.
Unique: Centralizes credential handling with automatic OAuth token refresh and validation, preventing auth failures and reducing credential management burden in agent code
vs alternatives: More secure than agents managing credentials directly because it enforces centralized storage and refresh logic, vs. agents that store tokens in memory or config files
+3 more capabilities
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 @cardor/email-management at 25/100.
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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