| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 14 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Validates MCP extension manifests against multiple schema versions (0.1, 0.2, 0.3) using Zod runtime validation. Provides dual validation modes: strict schemas enforce exact manifest structure for production bundles, while loose schemas allow passthrough and auto-correction during bundle cleaning operations. Schemas are versioned independently to support backward compatibility and gradual migration paths for extension developers.
Unique: Dual strict/loose validation modes using Zod allow both production-grade enforcement and auto-correction workflows in a single schema system, with explicit version tracking for each manifest schema generation (0.1, 0.2, 0.3) rather than a single evolving schema
vs alternatives: More flexible than JSON Schema alone because loose mode enables auto-fixing workflows; more maintainable than custom validation because Zod provides runtime type safety and composable schema definitions
Packages MCP extensions into self-contained .mcpb files (ZIP archives with maximum compression level 9 via fflate library) that include manifest.json, server code, all runtime dependencies (node_modules, Python venv, or server/lib), visual assets, and localization files. Preserves Unix file permissions for executable binaries and includes SHA1 hash metadata for integrity verification. Supports configurable entry points and platform-specific dependency inclusion.
Unique: Uses fflate for maximum compression (level 9) with explicit Unix permission preservation in ZIP extra fields, enabling both small bundle sizes and correct executable bit restoration on Unix systems — most package managers use default compression levels
vs alternatives: More efficient than tar.gz for desktop distribution because ZIP is natively supported on Windows; more complete than npm pack because it includes all runtime dependencies and platform-specific assets in a single file
Provides optional cryptographic signature system for .mcpb bundles to verify integrity and authenticity. Supports signing bundles with private keys and verifying signatures with public keys. Stores signature metadata in bundle manifest or separate signature files. Enables marketplace platforms to verify that bundles come from trusted publishers and haven't been tampered with. Uses industry-standard cryptographic algorithms (RSA, ECDSA, or similar).
Unique: Provides optional cryptographic signatures for bundles, enabling marketplace trust models without requiring signature verification by default — most package managers make signatures mandatory or absent
vs alternatives: More flexible than mandatory signatures because verification is optional; more practical than no signatures because it enables trust-based distribution models
Enables MCP extensions to define user-configurable settings through manifest.json userConfiguration field with type-safe schemas. Supports various configuration types (string, number, boolean, enum, object) with validation rules (min/max, pattern, required). Generates configuration UI hints for desktop apps and web interfaces. Validates user-provided configuration values against schema before passing to server. Supports configuration persistence and default values.
Unique: Defines user configuration schemas in manifest.json with type-safe validation and UI hints, enabling desktop apps to generate configuration UIs automatically — most package managers don't support user configuration
vs alternatives: More user-friendly than environment variables because configuration is validated and UI-driven; more flexible than hardcoded settings because users can customize behavior at installation time
Enables MCP extensions to declare available tools (functions the server exposes) and prompts (pre-written prompts for LLM interaction) in manifest.json with full schema validation. Tools include name, description, input schema, and output schema. Prompts include name, description, and template text. Manifest system validates that declared tools and prompts match actual server implementation. Enables client applications to discover and display available tools/prompts without executing server.
Unique: Includes tools and prompts as first-class manifest fields with schema validation, enabling static discovery of server capabilities without execution — most MCP implementations require dynamic discovery via server connection
vs alternatives: More efficient than dynamic discovery because tools/prompts are available without connecting to server; more maintainable than separate documentation because declarations are validated against schema
Manages visual assets (icons, screenshots, banners) and localization files (translations for multiple languages) within bundles through manifest.json asset specifications. Supports multiple icon sizes and formats, screenshot galleries, and localized manifest fields (name, description in different languages). Validates asset file references and formats. Enables marketplace platforms to display localized extension information and assets. Supports asset compression and optimization within bundles.
Unique: Manages visual assets and localization as integrated manifest fields with validation, enabling marketplace platforms to display localized, branded extension information — most package managers treat assets and localization separately
vs alternatives: More integrated than separate asset management because assets are bundled and validated together; more user-friendly than code-based localization because translations are in manifest
Extracts .mcpb ZIP archives with automatic restoration of Unix file permissions from ZIP extra fields, selective file extraction based on manifest specifications, and validation of bundle structure during unpacking. Supports extracting to custom directories and preserves the original bundle structure (manifest.json at root, server code in specified directory, dependencies in node_modules/venv). Includes integrity checks to ensure no files were corrupted during extraction.
Unique: Automatically restores Unix file permissions from ZIP extra fields during extraction, enabling shell scripts and binaries to be executable immediately after unpacking without post-processing — most ZIP libraries discard permission metadata
vs alternatives: More convenient than manual tar extraction because ZIP is natively supported on all platforms; more reliable than shell script post-processing because permissions are embedded in the archive itself
Enables MCP bundles to define platform-specific server configurations, dependencies, and assets through manifest.json platform overrides (e.g., separate Node.js entry points for macOS vs Windows, different Python venv paths). Supports variable substitution syntax for dynamic values like ${HOME}, ${PLATFORM}, ${ARCH} that are resolved at installation time. Allows conditional inclusion of dependencies and assets based on target platform, reducing bundle size and ensuring correct runtime configuration.
Unique: Combines platform-specific manifest overrides with runtime variable substitution, allowing a single bundle to adapt to different OS/architecture combinations and user environments without requiring separate bundle variants — most package managers require separate builds per platform
vs alternatives: More flexible than environment-only configuration because overrides are declared in manifest; more maintainable than build-time platform detection because configuration is resolved at installation time when the target platform is known
+6 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 mcpb at 30/100.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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