| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 7 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Queries Korea's National Procurement Service (조달청) OPEN API to retrieve active and historical bid notices with filtering by date range, procurement type, and business category. Returns structured bid metadata including notice ID, tender amount, deadline, and procurement agency, enabling developers to build procurement monitoring applications without direct API credential management.
Unique: Direct integration with Korea's official Nara Market OPEN API via MCP protocol, eliminating need for developers to handle authentication and API versioning directly; abstracts Korean government data schema into LLM-friendly structured outputs
vs alternatives: Provides real-time access to authoritative Korean procurement data through a conversational interface, whereas generic procurement APIs require manual integration and lack Korean government data specificity
Fetches completed procurement contracts and award records from Nara Market, including winning bidder information, final contract amounts, and award dates. Implements pagination and filtering to handle large result sets, allowing developers to build historical analysis tools and vendor performance tracking systems without manual data scraping.
Unique: Exposes Nara Market's award and contract completion data through MCP, providing structured access to historical procurement outcomes that are typically scattered across agency websites; implements intelligent pagination to handle result sets exceeding 1000+ records
vs alternatives: Centralizes Korean government contract data in a single queryable interface, whereas competitors require manual aggregation from multiple agency portals or expensive commercial procurement databases
Computes and retrieves aggregated procurement statistics from Nara Market including yearly spending totals, procurement volume by business type, and category-level trends. Implements server-side aggregation to reduce data transfer and client-side processing, enabling rapid dashboard and reporting integrations without requiring developers to implement complex ETL pipelines.
Unique: Server-side aggregation of Nara Market data eliminates need for client-side ETL; provides pre-computed statistics by year and business type, reducing query latency compared to on-demand aggregation across millions of procurement records
vs alternatives: Delivers pre-aggregated Korean government procurement statistics through a simple query interface, whereas generic analytics platforms require manual data import and custom metric definition
Queries the Nara Market shopping-mall product database to retrieve government-approved supplier products with pricing, specifications, and availability. Implements keyword and category-based search with filtering by supplier and price range, enabling procurement teams to discover approved products without manual catalog browsing across multiple supplier websites.
Unique: Integrates Nara Market's government-approved supplier shopping-mall into MCP, providing programmatic access to pre-vetted vendor catalogs that would otherwise require manual portal navigation; implements keyword search across product names and specifications
vs alternatives: Enables automated discovery of government-approved products through a conversational interface, whereas manual Nara Market portal browsing requires repeated clicks and lacks programmatic integration
Exposes all Nara Market capabilities as MCP tools with standardized schemas, enabling LLM agents to autonomously chain procurement queries (e.g., search bids → retrieve award history → aggregate statistics) without explicit user orchestration. Implements request validation and error handling to ensure robust agent execution across multiple sequential API calls.
Unique: Implements MCP tool schema for all Nara Market capabilities, allowing LLM agents to autonomously compose multi-step procurement workflows; includes request validation and error handling to ensure reliable agent execution across sequential API calls
vs alternatives: Enables autonomous agent-driven procurement research through MCP tool integration, whereas manual API integration requires explicit orchestration code and lacks LLM-native reasoning capabilities
Parses and extracts structured fields from Nara Market procurement notices and contracts, converting unstructured Korean government text into normalized JSON schemas with fields like tender amount, deadline, procurement type, and agency. Implements regex and pattern-matching extraction to handle variations in government document formatting across different agencies.
Unique: Implements pattern-based extraction specifically tuned for Korean government procurement document formats, normalizing variations across different agencies into consistent JSON schemas; handles Korean language field identification and date format conversion
vs alternatives: Provides Korean government-specific document parsing, whereas generic document extraction tools lack domain knowledge of procurement terminology and format variations
Enables developers to set up persistent filters on bid searches and receive structured notifications when new bids matching criteria appear. Implements polling or webhook-based monitoring of Nara Market updates, abstracting the complexity of maintaining persistent queries and change detection from client applications.
Unique: Abstracts polling and change detection for Nara Market bid updates, enabling developers to set up persistent filters without managing long-running queries; implements intelligent polling to minimize API calls while maintaining notification freshness
vs alternatives: Provides automated bid monitoring through MCP without requiring developers to implement polling infrastructure, whereas manual API integration requires custom change-detection logic
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 NaraMarketMCP at 30/100.
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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