| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Fetches recent Gmail messages via the Gmail API without requiring local browser automation or UI interaction. Implements pagination through message list queries to retrieve metadata (sender, subject, timestamp, message ID) in batches, enabling LLM agents to discover and iterate over inbox contents programmatically. Uses Gmail API's labelIds and maxResults parameters to filter and limit result sets.
Unique: Operates entirely headless without Selenium or browser automation, using direct Gmail API calls with runtime-injected credentials, eliminating local setup overhead and enabling deployment in containerized/serverless environments
vs alternatives: Avoids browser automation overhead (Selenium, Puppeteer) that adds latency and resource consumption; direct API access is faster and more reliable for agent-driven workflows than UI scraping
Retrieves the full MIME body of a Gmail message and parses it into structured chunks (plain text, HTML, attachments metadata) via the Gmail API's messages.get endpoint with format=full. Implements chunking logic to break large email bodies into manageable pieces for LLM context windows, preventing token overflow when processing lengthy emails. Handles multipart MIME structures to extract text/plain and text/html parts separately.
Unique: Implements automatic chunking of email bodies to fit LLM context windows, handling MIME multipart structures natively rather than treating emails as opaque blobs
vs alternatives: More context-aware than naive email clients that load entire messages into memory; chunking prevents LLM token overflow without requiring manual email truncation by users
Accepts Gmail OAuth 2.0 credentials (access token, refresh token, client ID, client secret) at runtime rather than requiring local .env files or hardcoded secrets. Implements automatic token refresh logic using the Gmail API's OAuth 2.0 refresh flow, detecting token expiration and silently obtaining new access tokens without interrupting agent workflows. Credentials are passed as MCP server parameters or environment variables at startup, enabling secure deployment in containerized and serverless environments.
Unique: Eliminates local credential setup by accepting OAuth tokens at runtime, with automatic refresh logic that keeps workflows uninterrupted across token expiration boundaries
vs alternatives: More secure than hardcoded credentials or local .env files; enables containerized deployment without baking secrets into images, unlike traditional Gmail client libraries that require local authentication flows
Constructs and sends emails via the Gmail API's messages.send endpoint by building RFC 5322-compliant MIME messages programmatically. Accepts recipient addresses, subject, body (plain text and/or HTML), and optional attachments as structured input, then encodes them into base64-encoded MIME format required by Gmail API. Handles multipart message construction (text/plain + text/html alternatives, attachments as separate parts) without requiring external SMTP libraries.
Unique: Constructs MIME messages natively without external SMTP libraries, enabling email sending directly through Gmail API with automatic multipart handling for text/HTML alternatives and attachments
vs alternatives: Avoids SMTP server setup and configuration; uses Gmail's infrastructure directly, making it suitable for agents that need reliable email sending without managing mail server credentials or dealing with spam filtering
Implements the Model Context Protocol (MCP) server specification, exposing Gmail capabilities as callable tools that LLM agents can invoke through a standardized interface. Defines MCP tools with JSON schemas for each Gmail operation (list messages, get body, send email), enabling Claude, other LLMs, and agentic frameworks to discover and call Gmail functions without custom integration code. Handles MCP request/response serialization and error propagation back to the agent.
Unique: Exposes Gmail operations as MCP tools, enabling standardized integration with any LLM or agent framework that supports MCP, rather than requiring custom SDK bindings for each model
vs alternatives: MCP abstraction allows the same Gmail server to work with Claude, GPT-4, open-source LLMs, and custom agents without code changes; more flexible than model-specific plugins or SDKs
Monitors access token expiration and automatically invokes the Gmail OAuth 2.0 refresh endpoint to obtain new tokens before they expire or when API calls fail with 401 Unauthorized. Implements retry logic that catches token expiration errors, refreshes the token silently, and retries the original request without exposing token management complexity to the agent. Maintains refresh token securely in memory and uses it to generate new access tokens as needed.
Unique: Implements automatic token refresh with retry logic, allowing agents to operate continuously without manual re-authentication or explicit token management code
vs alternatives: More resilient than manual token refresh or static access tokens; prevents workflow interruptions due to token expiration, unlike basic Gmail client libraries that require explicit re-authentication
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 mcp-headless-gmail 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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