| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Converts live URLs into PNG image files by launching a headless browser instance (likely Puppeteer or Playwright) that navigates to the target URL, waits for page load completion, and captures a full-page or viewport screenshot. The MCP server exposes this as a standardized tool that Claude and other MCP clients can invoke, handling browser lifecycle management, timeout configuration, and image serialization automatically.
Unique: Exposes browser screenshot capability as a standardized MCP tool, enabling Claude and other LLM agents to visually inspect live web pages without custom integration code. Uses MCP's schema-based tool registry to abstract away browser lifecycle and serialization complexity.
vs alternatives: Simpler than building custom Claude plugins or API wrappers because MCP handles protocol negotiation and tool discovery automatically; more flexible than static HTML-to-image converters because it executes JavaScript and captures rendered output.
Converts raw HTML strings or local HTML files into PNG/JPEG images by rendering them in a headless browser with configurable viewport dimensions (width, height, device emulation). The server parses HTML input, injects it into a blank page context, waits for stylesheets and fonts to load, then captures the rendered result. Supports both full-page and clipped viewport captures.
Unique: Provides viewport-aware HTML rendering through MCP, allowing Claude to generate images at specific screen dimensions without requiring separate API calls or configuration. Handles both URL and raw HTML input through unified interface.
vs alternatives: More flexible than static HTML-to-image libraries (like html2canvas) because it uses a real browser engine; more accessible than Puppeteer/Playwright directly because MCP abstracts authentication and tool discovery.
Registers screenshot and HTML-to-image capabilities as MCP tools with JSON schema definitions, allowing MCP clients (Claude, custom hosts) to discover available functions, understand their parameters, and invoke them with type-safe arguments. The server implements the MCP tool protocol, responding to tool_list requests with capability metadata and tool_call requests with execution results.
Unique: Implements MCP tool protocol natively, enabling zero-configuration tool discovery and invocation by Claude and other MCP clients. Uses JSON schema to define tool contracts, allowing clients to validate arguments before execution.
vs alternatives: Simpler than REST API wrappers because MCP handles protocol negotiation and schema discovery; more standardized than custom Claude plugin APIs because it uses the open MCP specification.
Manages multiple simultaneous screenshot/image-generation requests from MCP clients by queuing or parallelizing browser operations. The server likely uses a connection pool or worker thread pattern to handle concurrent tool_call invocations without blocking, though concurrency limits depend on available system resources (memory, CPU, browser instances).
Unique: Handles concurrent MCP tool invocations without blocking, allowing Claude and other clients to parallelize screenshot requests. Implementation approach (connection pooling, worker threads, or async I/O) not documented but likely uses Node.js async patterns.
vs alternatives: More efficient than sequential screenshot APIs because it can process multiple requests in parallel; more resource-aware than naive implementations because it manages browser lifecycle across requests.
Implements timeout and error handling for browser operations (page load, screenshot capture) to prevent hanging requests and resource leaks. The server likely sets configurable timeouts for navigation, rendering, and screenshot operations, catches browser errors (network failures, JavaScript exceptions), and returns structured error responses to MCP clients.
Unique: Implements timeout and error handling at the MCP tool level, preventing hung requests from blocking clients. Returns structured error responses that Claude can interpret and act upon (retry, fallback, etc.).
vs alternatives: More robust than naive browser automation because it prevents resource leaks from hanging processes; more client-friendly than raw browser APIs because it returns MCP-compatible error structures.
Allows callers to specify rendering parameters such as viewport width/height, device emulation, wait conditions, and output format. The server exposes these as optional parameters in the MCP tool schema, enabling fine-grained control over how pages are rendered. For example, agents can request mobile viewport rendering, wait for specific elements to load, or specify image quality/format.
Unique: Exposes rendering parameters as MCP tool inputs, allowing agents to request specific viewport/format combinations without server-side configuration changes. Likely uses Puppeteer/Playwright's viewport and emulation APIs directly, passing agent-specified options through to the browser.
vs alternatives: More flexible than fixed-viewport rendering; agents can adapt rendering to content type. More discoverable than environment variables or config files because parameters are part of the MCP tool schema.
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 url-to-image-mcp at 26/100. url-to-image-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