Supabase ranks higher at 42/100 vs @todoforai/puppeteer-mcp-server at 25/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @todoforai/puppeteer-mcp-server | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 25/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality |
| 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes Puppeteer's browser automation capabilities through the Model Context Protocol (MCP), allowing LLM agents to control a headless Chrome/Chromium instance via standardized tool calls. Implements MCP server transport layer that translates LLM function-calling requests into Puppeteer API invocations, managing browser lifecycle, page state, and screenshot/DOM capture for agent feedback loops.
Unique: Implements MCP server transport layer specifically for Puppeteer, enabling direct LLM agent control of browser automation without custom integration code. Uses MCP's standardized tool schema to expose Puppeteer methods as callable functions, with built-in screenshot and DOM evaluation capabilities for agent feedback.
vs alternatives: Provides MCP-native browser automation (compatible with Claude and other MCP clients) whereas raw Puppeteer requires custom API wrappers; simpler integration than Selenium-based MCP servers due to Puppeteer's JavaScript-native design.
Provides MCP tools for navigating to URLs, waiting for page load conditions, and interacting with page elements (click, type, select, scroll). Implements Puppeteer's page navigation API with configurable wait strategies (networkidle, domcontentloaded) and element interaction via CSS selectors or XPath, returning success/failure status and error details to the agent.
Unique: Wraps Puppeteer's page navigation and interaction APIs in MCP tool schema, exposing configurable wait strategies and element targeting (CSS/XPath) as discrete agent-callable functions. Includes error propagation to agent with specific failure reasons (element not found, timeout, navigation blocked).
vs alternatives: More flexible than Selenium-based automation (supports XPath and CSS equally) and faster than Playwright MCP due to Puppeteer's lighter footprint; native MCP integration means no custom client code needed.
Enables agents to extract page content via DOM queries, JavaScript evaluation, and screenshot capture. Implements Puppeteer's page.evaluate() for arbitrary JavaScript execution, page.$() for DOM element selection, and page.screenshot() for visual state capture. Returns structured data (text, HTML, JSON) or base64-encoded images for agent processing.
Unique: Combines Puppeteer's page.evaluate(), page.$(), and page.screenshot() into MCP tools with structured output formatting. Supports arbitrary JavaScript execution for complex data extraction while maintaining agent-friendly error handling and output serialization.
vs alternatives: More powerful than simple DOM parsing (supports JavaScript evaluation) and more flexible than screenshot-only approaches; native MCP integration eliminates custom client code for screenshot handling and base64 encoding.
Manages multiple browser pages/tabs within a single browser instance, allowing agents to switch between pages, open new pages, and maintain separate DOM/navigation contexts. Implements Puppeteer's browser.newPage() and page management, with context switching via page identifiers. Each page maintains independent cookies, localStorage, and navigation history.
Unique: Exposes Puppeteer's multi-page browser model through MCP tools, allowing agents to manage page lifecycle (create, switch, close) with explicit context tracking. Each page maintains independent DOM, cookies, and navigation state, enabling parallel workflows.
vs alternatives: Enables true multi-page workflows whereas single-page MCP servers require sequential navigation; more memory-efficient than multiple browser instances while maintaining isolation.
Provides tools for reading, setting, and clearing cookies and session storage across pages. Implements Puppeteer's page.cookies() and page.setCookie() APIs, allowing agents to persist authentication tokens, manage session state, and simulate returning users. Supports cookie attributes (domain, path, expiry, secure, httpOnly).
Unique: Wraps Puppeteer's cookie management APIs in MCP tools with full attribute support (domain, path, expiry, secure, httpOnly). Enables agents to manage session state across page interactions without re-authentication.
vs alternatives: More complete than screenshot-based session validation; provides programmatic session control vs manual cookie jar management in other automation frameworks.
Allows agents to intercept, monitor, and modify network requests/responses via Puppeteer's request interception API. Implements request.abort(), request.continue(), and request.respond() to block ads, mock API responses, or log network activity. Provides visibility into network timing, status codes, and response bodies for debugging and validation.
Unique: Exposes Puppeteer's request interception API through MCP tools, enabling agents to abort, continue, or respond to network requests with custom data. Includes network monitoring for debugging and validation without requiring external proxy tools.
vs alternatives: More integrated than external proxy-based interception (no separate tool setup); more flexible than simple request blocking (supports response mocking and modification).
Provides isolated browser contexts (separate cookies, cache, storage) for parallel or independent workflows. Implements Puppeteer's browser.createIncognitoBrowserContext() or context-based isolation, allowing agents to run multiple independent sessions without cross-contamination. Each context has its own cookies, localStorage, sessionStorage, and IndexedDB.
Unique: Exposes Puppeteer's browser context API through MCP tools, enabling agents to create isolated browser contexts with separate cookies, storage, and cache. Supports incognito mode for privacy-focused testing.
vs alternatives: More memory-efficient than multiple browser instances; provides true isolation without process-level overhead; simpler than manual cookie/storage management for multi-user scenarios.
Captures and exposes browser console output (logs, warnings, errors) and page errors to agents for debugging and validation. Implements Puppeteer's page.on('console'), page.on('error'), and page.on('pageerror') event listeners, streaming console messages and uncaught exceptions to the agent for real-time monitoring.
Unique: Streams browser console output and page errors to agents via MCP tools, providing real-time visibility into JavaScript execution. Captures console.log/warn/error and uncaught exceptions without requiring manual page inspection.
vs alternatives: More integrated than DevTools Protocol inspection (no separate tool needed); provides structured error data vs screenshot-based debugging.
+1 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 @todoforai/puppeteer-mcp-server 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