Supabase ranks higher at 42/100 vs FARCOM Industrial Product Catalog at 31/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | FARCOM Industrial Product Catalog | Supabase |
|---|---|---|
| Type | MCP Server | MCP Server |
| UnfragileRank | 31/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality |
| 0 |
| 0 |
| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Searches a live catalog of 3,499 industrial products using semantic matching against product names, descriptions, and technical specifications. Implements MCP tool protocol to expose search as a callable function with query parsing and result ranking. Returns structured product metadata including SKU, category, pricing, and compliance certifications without requiring direct database access from the client.
Unique: First MCP-native industrial product server in Mexico with live Danfoss/Benshaw inventory; implements search as a callable MCP tool rather than REST API, enabling direct integration into Claude and other MCP-compatible agents without custom HTTP wrappers
vs alternatives: Eliminates API integration boilerplate compared to REST-based catalogs; agents can invoke search directly as a native tool with automatic parameter validation and structured response handling
Fetches complete product specifications including technical parameters, pricing, regulatory certifications (NOM, UL, IEC, CE), and availability status for a given SKU or product ID. Implemented as an MCP tool that queries the live catalog and returns structured JSON with all compliance tags and cross-reference information, enabling agents to verify regulatory requirements without external lookups.
Unique: Embeds regulatory compliance tags (NOM/UL/IEC/CE) directly in product metadata rather than requiring separate compliance lookup; MCP tool design allows agents to validate certifications inline during procurement workflows
vs alternatives: Faster than multi-step REST workflows that require separate calls to product and compliance endpoints; compliance data is pre-indexed and returned atomically with product details
Generates formal quotes for product selections with automatic calculation of pricing, taxes, and shipping (FOB Monterrey NL). Implements commission tracking for agent-assisted sales, recording which AI agent or sales representative initiated the quote. Exposes quoting logic as an MCP tool that accepts line items and returns a structured quote object with itemized pricing, subtotals, and agent attribution for downstream CRM/ERP integration.
Unique: Integrates agent commission tracking directly into quote generation; MCP tool records agent attribution at quote time, enabling downstream CRM systems to automatically allocate commissions without manual reconciliation
vs alternatives: Eliminates separate commission tracking systems; quote and attribution are generated atomically, reducing data sync issues compared to REST-based quote APIs that require post-hoc commission logging
Exposes the product catalog's category hierarchy (e.g., VFDs, soft starters, contactors, enclosures, sensors, PLCs, power factor correction) as an MCP tool that returns available categories and subcategories. Enables agents to navigate the catalog structure, list products within a category, and support category-based filtering in search workflows. Implemented as a tree-traversal tool that returns category metadata and product counts per category.
Unique: Exposes category hierarchy as a first-class MCP tool rather than embedding it in search results; enables agents to navigate catalog structure independently, supporting use cases like guided product discovery and category-based filtering
vs alternatives: More flexible than search-only interfaces; agents can explore catalog structure without formulating search queries, improving discoverability for users unfamiliar with product terminology
Validates product compliance against specified regulatory standards (NOM for Mexico, UL for North America, IEC international, CE for EU) by querying product metadata and returning certification status. Implemented as an MCP tool that accepts a product SKU and target regulatory framework, returning compliance status, certification numbers, and applicable standards. Enables procurement workflows to automatically verify regulatory eligibility before quote generation.
Unique: Embeds regulatory compliance as a first-class MCP tool rather than metadata-only field; enables agents to make compliance-gated procurement decisions automatically, with explicit pass/fail status and certification details
vs alternatives: Faster than manual compliance lookups or external regulatory databases; compliance data is pre-indexed and returned in structured format, enabling automated compliance gates in procurement workflows
Compares technical specifications across multiple products (e.g., different VFD models or soft starters) by fetching detailed specs for each SKU and returning a structured comparison matrix. Implemented as a composite MCP tool that accepts a list of product SKUs and returns aligned specifications, highlighting differences in key parameters (power rating, voltage, frequency, certifications). Enables agents to recommend alternatives or help customers select the best fit.
Unique: Automatically aligns specifications across products with different schema; MCP tool handles field mapping and normalization, returning a clean comparison matrix without requiring client-side data transformation
vs alternatives: Reduces manual comparison work compared to downloading datasheets separately; structured output enables agents to programmatically evaluate alternatives based on customer requirements
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 FARCOM Industrial Product Catalog at 31/100.
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