| Ecosystem |
| 1 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 12 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Uploads static files and directories to IPFS via the Glitter Protocol gateway, generating immutable content identifiers (CIDs) without requiring server management or account setup. Uses a dual-path architecture: simple single-file uploads via uploadToIpfs() for files under 200MB, and chunked directory uploads via uploadToIpfsSplit() for directories up to 1GB with session-based state management to handle interruptions and resume capability.
Unique: Implements dual-path upload architecture (simple vs. chunked) with session-based resumable uploads for large directories, integrated directly into CLI without requiring separate IPFS node or pinning service account. Uses Glitter Protocol gateway as abstraction layer, eliminating need for users to manage IPFS daemon or provider credentials.
vs alternatives: Simpler than Netlify/Vercel for static sites (no build config needed) and more decentralized than traditional CDNs, but slower retrieval than centralized alternatives due to IPFS peer-dependent performance.
Maintains a local JSON-based history file (~/.pinme/history.json) that records all upload metadata including CIDs, timestamps, file paths, and domain bindings. Implements addHistory() and getHistory() functions to provide users with queryable records of past deployments without requiring external databases or cloud state storage, enabling reproducibility and audit trails.
Unique: Uses filesystem-based JSON history instead of cloud state or database, keeping all deployment metadata local and user-owned. Integrates directly with CLI commands to auto-record uploads without explicit user action, creating implicit audit trail.
vs alternatives: More transparent and portable than cloud-based deployment tracking (Vercel, Netlify dashboards) since history is human-readable JSON, but lacks cross-device sync and team collaboration features.
Generates temporary preview URLs at https://pinme.eth.limo/#/preview/* that embed encrypted or obfuscated CIDs, allowing users to share deployments before binding to permanent domains. Preview URLs provide time-limited or access-controlled viewing without requiring domain setup, using URL fragment-based routing to avoid exposing raw CIDs in server logs.
Unique: Uses URL fragment-based routing (#/preview/*) to embed CID without exposing it in HTTP requests, enabling preview access without server-side state. Provides immediate shareable link without requiring domain binding setup.
vs alternatives: Faster than Vercel/Netlify preview deployments (no build step) but less feature-rich (no environment variables, no preview comments). More accessible than raw IPFS gateway URLs due to human-friendly pinme.eth.limo domain.
Abstracts IPFS network interaction through Glitter Protocol gateway, eliminating need for users to run local IPFS nodes or manage provider credentials. Implements uploadToIpfs() and uploadToIpfsSplit() functions that communicate with gateway's HTTP API, handling content upload, chunking, and CID generation without exposing IPFS complexity to CLI users.
Unique: Abstracts IPFS complexity behind Glitter Protocol gateway, providing IPFS benefits (content addressing, decentralization) without requiring users to understand IPFS protocol or manage nodes. Gateway integration is transparent — users interact only with pinme CLI.
vs alternatives: Simpler than self-hosted IPFS (no node management) but less decentralized than running local node. More reliable than public IPFS gateways due to Glitter Protocol's dedicated infrastructure.
Binds IPFS content (identified by CID) to human-readable domains via two mechanisms: automatic Pinme subdomains (*.pinit.eth.limo) for free users, and custom DNS domains (CNAME/TXT records) for VIP users. Implements domain binding logic in PinmeApi class with HTTP methods that communicate with Pinme backend to register domain-to-CID mappings, enabling users to access immutable content via familiar URLs.
Unique: Implements tiered domain binding: free Pinme subdomains auto-provisioned without user DNS management, plus VIP custom domain support with CNAME/TXT validation. Backend integration via PinmeApi class abstracts domain registration complexity from CLI users.
vs alternatives: Simpler than manual DNS configuration (no IPFS gateway URL management needed) but less flexible than self-hosted IPFS with custom reverse proxies. Faster than Vercel/Netlify domain setup for IPFS content since no build step required.
Enables users to export IPFS content as Content Addressable aRchive (CAR) files for backup, migration, or sharing, and import CAR files to restore content. Implements bidirectional CAR file handling through PinmeApi integration, allowing users to migrate deployments between IPFS providers or create portable archives of their sites without relying on live IPFS network availability.
Unique: Integrates CAR file handling directly into CLI workflow via PinmeApi, abstracting IPFS-level CAR operations. Enables one-command export/import without requiring separate IPFS tools or manual DAG manipulation.
vs alternatives: More portable than relying on single IPFS provider's pinning guarantees, but requires manual CAR file management vs. automatic cloud backup systems like Vercel/Netlify.
Implements JWT-based authentication using AppKey format (<ethereum_address>-<jwt_token>) to gate premium features including custom domain binding, CAR file operations, and VIP status checks. Validates AppKey credentials against Pinme backend via PinmeApi class, enabling role-based access control without requiring OAuth or external identity providers.
Unique: Uses Ethereum address + JWT token pair for authentication, enabling Web3-native identity without traditional OAuth. AppKey format ties authentication to blockchain identity, allowing future integration with ENS or smart contract-based access control.
vs alternatives: Simpler than OAuth for CLI tools but less secure than hardware-backed authentication. More Web3-aligned than API keys used by Vercel/Netlify, but requires users to manage long-lived credentials.
Exposes pinme CLI commands as a Claude Code Skill, enabling Claude AI to invoke deployment operations directly within code generation workflows. Implements LLM execution protocol that allows Claude to call upload, domain binding, and history commands with natural language instructions, automating multi-step deployment tasks without manual CLI invocation.
Unique: Implements Claude Code Skill protocol to expose CLI commands as callable functions within Claude's code generation context, enabling AI to orchestrate multi-step deployments. Bridges gap between code generation and infrastructure deployment without requiring separate CI/CD configuration.
vs alternatives: More integrated than manual CLI invocation but less flexible than custom GitHub Actions. Enables AI-driven deployment but requires Claude Code environment vs. language-agnostic CLI tools.
+4 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 pinme at 38/100.
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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