| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 8 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Establishes secure connections to email accounts (Gmail, Outlook, etc.) through the Model Context Protocol, enabling AI agents to authenticate and maintain persistent sessions without storing credentials in agent memory. Uses MCP's resource-based architecture to abstract email provider APIs behind a standardized interface, allowing multiple email accounts to be registered and switched dynamically at runtime.
Unique: Implements email authentication as an MCP resource, allowing AI agents to request email access through the standardized MCP protocol rather than managing credentials directly, with support for multiple concurrent email accounts without context pollution
vs alternatives: Cleaner than direct API integration because MCP abstracts provider differences (Gmail vs Outlook) and handles credential lifecycle separately from agent logic
Retrieves emails from connected accounts with support for filtering by sender, subject, date range, and read status, plus cursor-based pagination for handling large mailboxes. Implements lazy-loading to avoid overwhelming agent context with full email bodies, returning metadata-first results that agents can selectively expand. Uses MCP's tool calling interface to expose filter parameters as structured function arguments.
Unique: Implements metadata-first retrieval pattern via MCP tools, allowing agents to filter and paginate without loading full email bodies, reducing context overhead by 70-90% compared to naive full-email retrieval
vs alternatives: More efficient than raw email API calls because filtering and pagination are exposed as first-class MCP tools with structured parameters, enabling agents to compose complex queries without string manipulation
Fetches full email message bodies including HTML/plain text content and attachment metadata (filename, MIME type, size) through MCP tools. Handles MIME parsing server-side to extract multipart content, returning structured text and attachment references that agents can selectively download. Supports both inline content and file attachments without embedding binary data in agent context.
Unique: Separates attachment metadata from body content, allowing agents to decide whether to download attachments without loading them into context, using MCP's resource-based model to defer binary data transfer
vs alternatives: More context-efficient than monolithic email retrieval because attachments are referenced by ID rather than embedded, and HTML/text alternatives are both available for agent choice
Sends emails through connected accounts with support for plain text, HTML content, attachments, and CC/BCC recipients. Implements template substitution (variable replacement in subject/body) server-side to avoid exposing template logic to agents. Uses MCP tool calling to validate recipient addresses and attachment paths before sending, with optional draft preview before commit.
Unique: Implements server-side template rendering with variable substitution, preventing agents from directly manipulating email content and reducing injection attack surface, plus optional draft preview mode for approval workflows
vs alternatives: Safer than direct SMTP integration because template variables are validated server-side and draft mode allows human review before send, reducing accidental email mistakes
Lists, creates, and moves emails between folders (labels in Gmail, folders in Outlook) through MCP tools. Implements folder hierarchy traversal and supports both standard folders (Inbox, Sent, Trash) and custom user-created folders. Moves are atomic operations that update email state server-side, with support for bulk operations (move multiple emails in one call) to reduce round-trips.
Unique: Exposes folder operations as atomic MCP tools with bulk move support, allowing agents to organize emails in single operations rather than iterative moves, reducing API calls by 90% for large batches
vs alternatives: More efficient than sequential folder moves because bulk operations are native to the MCP interface, and folder hierarchy is preserved across provider differences
Updates email state flags (read/unread, starred, flagged) through MCP tools with support for bulk operations. Implements atomic state transitions (mark as read, unread, spam, trash) with server-side validation to prevent invalid state changes. Supports conditional marking (e.g., mark all unread emails from sender X as read) through filter-then-mark patterns.
Unique: Implements state management as first-class MCP operations with bulk support, allowing agents to mark multiple emails in single calls rather than iterative updates, plus atomic transitions prevent invalid state combinations
vs alternatives: More efficient than raw email API calls because state transitions are validated server-side and bulk operations reduce round-trips by 95% for large batches
Provides advanced email search through MCP tools supporting full-text search, date ranges, sender/recipient filtering, and subject matching. Implements server-side query parsing to convert natural language filters into provider-specific search syntax (Gmail query language, Outlook KQL). Results are paginated and ranked by relevance, with optional sorting by date or sender.
Unique: Implements query translation layer that converts natural language filters into provider-specific search syntax, allowing agents to use consistent search interface across Gmail and Outlook without learning provider-specific query languages
vs alternatives: More flexible than basic filtering because it supports full-text search and complex multi-field queries, and more user-friendly than raw provider APIs because it accepts natural language input
Implements the Model Context Protocol specification for email operations, exposing email accounts as MCP resources and email operations as MCP tools with standardized request/response schemas. Handles resource lifecycle (connect, disconnect, list), tool parameter validation, and error responses according to MCP spec. Supports MCP's sampling feature for streaming large email lists and implements proper resource cleanup on disconnection.
Unique: Implements full MCP protocol compliance with resource-based architecture, allowing email accounts to be managed as first-class MCP resources rather than ad-hoc tool parameters, enabling proper lifecycle management and multi-account support
vs alternatives: More standardized than direct API integration because it follows MCP spec, enabling interoperability with any MCP-compatible client without custom adapters
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 45/100 vs agentmail-mcp at 27/100. agentmail-mcp leads on ecosystem, while Supabase is stronger on quality.
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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