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| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 11 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes Puppeteer browser automation capabilities through the Model Context Protocol (MCP) interface, allowing LLM agents and tools to control a headless Chrome/Chromium instance via standardized MCP resource and tool endpoints. Implements MCP server pattern with stdio transport, enabling seamless integration into Claude Desktop, LLM frameworks, and agent systems without direct library imports.
Unique: Wraps Puppeteer as an MCP server rather than a direct library, enabling LLM agents to invoke browser automation through standardized MCP tool/resource endpoints without language-specific SDK dependencies. Uses MCP's stdio transport for process-level isolation and multi-client support.
vs alternatives: Provides standardized MCP interface for browser automation (vs. Puppeteer's direct Node.js API), making it compatible with any MCP client including Claude Desktop, while maintaining full Puppeteer capability surface.
Implements MCP tools for controlling page navigation including goto(), reload(), goBack(), and goForward() operations with configurable timeouts and wait conditions. Handles navigation events, page load states, and error conditions (network failures, timeouts) through Puppeteer's navigation APIs, returning structured confirmation of navigation success or failure.
Unique: Exposes Puppeteer's navigation primitives (goto, reload, back, forward) as discrete MCP tools with configurable wait conditions, allowing agents to express navigation intent declaratively rather than managing Puppeteer API directly.
vs alternatives: Simpler and more agent-friendly than raw Puppeteer navigation (which requires promise handling and event listeners), while maintaining full control over wait conditions and timeout behavior.
Implements MCP server initialization, resource discovery, and tool registration following the Model Context Protocol specification. Manages stdio transport for client communication, handles MCP message serialization/deserialization, and exposes available tools and resources through MCP's standard resource and tool listing endpoints. Enables clients to discover capabilities and invoke tools through standardized MCP protocol.
Unique: Implements full MCP server specification with stdio transport, enabling seamless integration with MCP-compatible clients without custom protocol implementation. Handles tool registration, resource discovery, and message serialization transparently.
vs alternatives: Provides standardized MCP interface (vs. custom REST API or WebSocket protocol), making it compatible with any MCP client including Claude Desktop, LangChain, and other frameworks without custom integration code.
Provides MCP tools for querying and interacting with DOM elements including click(), type(), select(), fill(), and getAttribute() operations. Uses CSS selectors or XPath for element targeting, with built-in waiting for element visibility/stability before interaction. Implements Puppeteer's ElementHandle API through MCP tool parameters, handling stale element references and dynamic content.
Unique: Wraps Puppeteer's ElementHandle operations as stateless MCP tools that re-query the DOM on each call, avoiding stale reference issues common in long-running automation scripts. Includes automatic visibility waiting before interaction.
vs alternatives: More robust than direct Puppeteer ElementHandle usage for agent workflows because it handles element re-querying and visibility waiting transparently, reducing agent-side error handling complexity.
Implements MCP tool for capturing full-page or viewport screenshots as base64-encoded PNG/JPEG images. Supports configurable viewport dimensions, full-page capture mode, and clip regions for capturing specific DOM areas. Returns image data directly in MCP response, enabling vision-capable LLM agents to analyze page state visually.
Unique: Exposes Puppeteer's screenshot capability as an MCP tool with base64 encoding, enabling direct integration with vision-capable LLM clients without requiring separate image storage or file system access.
vs alternatives: Simpler than Puppeteer's screenshot API for agent workflows because it handles encoding and returns data directly in MCP response, vs. requiring agents to manage file I/O or external image storage.
Provides MCP tools for extracting page content including getContent() for full HTML, getText() for plain text, and evaluate() for executing JavaScript in page context to extract structured data. Uses Puppeteer's page.evaluate() to run arbitrary JS and return JSON-serializable results, enabling complex DOM queries and data extraction without multiple round-trips.
Unique: Combines multiple extraction methods (HTML, text, JavaScript evaluation) as discrete MCP tools, allowing agents to choose the appropriate extraction method for their use case without managing Puppeteer's page.evaluate() API directly.
vs alternatives: More flexible than simple HTML scraping because it enables in-page JavaScript execution for complex data extraction, while being simpler than managing Puppeteer's evaluation context directly in agent code.
Implements MCP tools for configuring browser viewport dimensions and device emulation settings including user agent, device pixel ratio, and mobile device profiles. Uses Puppeteer's setViewport() and emulate() APIs to simulate different devices and screen sizes, affecting page layout and rendering for responsive design testing.
Unique: Exposes Puppeteer's device emulation as MCP tools, allowing agents to dynamically switch device profiles and viewport sizes without managing Puppeteer's emulate() API or device descriptor objects directly.
vs alternatives: Simpler than raw Puppeteer device emulation because it abstracts device profiles and provides them as named options, vs. requiring agents to construct device descriptor objects manually.
Provides MCP tools for managing browser cookies and local storage including setCookie(), getCookies(), deleteCookie(), and clearCookies() operations. Enables agents to persist authentication state, manage session data, and simulate returning users. Implements Puppeteer's cookie APIs with JSON serialization for storage and restoration.
Unique: Exposes Puppeteer's cookie management as discrete MCP tools with JSON serialization, enabling agents to export and import session state without managing Puppeteer's cookie API directly or handling domain/path validation.
vs alternatives: More agent-friendly than raw Puppeteer cookie APIs because it provides simple get/set/delete operations as MCP tools, vs. requiring agents to manage Puppeteer's cookie objects and domain validation.
+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 @hisma/server-puppeteer 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
+1 more capabilities