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| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 5 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Generates Ziwei Doushu charts by leveraging a proprietary algorithm that interprets birth data and aligns it with celestial positions. It uses a modular architecture to allow for easy integration of different astrological systems, enabling users to explore multiple interpretations of their charts. This capability stands out due to its focus on detailed palace and star analysis, providing insights that are often overlooked in traditional astrology tools.
Unique: Utilizes a modular architecture that allows for the integration of various astrological systems, enhancing flexibility in chart interpretation.
vs alternatives: More comprehensive than typical astrology apps due to its multi-system integration and detailed analysis of celestial influences.
Creates Bazi charts by analyzing the user's birth information against the five elements and their interactions. This capability employs a rule-based engine that evaluates elemental strengths and balances, providing users with insights into their personal fortunes over various timeframes. The distinctiveness lies in its ability to visualize elemental gaps and strengths, which is crucial for users seeking to understand their life cycles.
Unique: Incorporates a rule-based engine specifically designed to evaluate the interactions of the five elements in Bazi, providing a unique perspective on personal fortunes.
vs alternatives: Offers deeper elemental analysis compared to standard Bazi applications, focusing on strengths and gaps rather than just static readings.
Analyzes generated charts to forecast fortunes over decades, years, months, days, and hours. This capability uses temporal data analysis techniques to correlate astrological influences with specific timeframes, allowing users to make informed decisions based on their astrological readings. Its unique approach involves a time-series analysis of astrological data, which is not commonly found in other astrology tools.
Unique: Employs time-series analysis of astrological data to provide detailed forecasts across multiple timeframes, enhancing decision-making capabilities.
vs alternatives: More granular and time-sensitive than traditional astrology forecasts, which often lack temporal specificity.
Analyzes the elemental strengths and balances within a user's chart, providing insights into their personal characteristics and potential life challenges. This capability uses a combination of statistical analysis and astrological principles to evaluate how elements interact and influence the user's life. Its distinctiveness lies in its visual representation of elemental dynamics, making it easier for users to understand their astrological profile.
Unique: Provides a visual representation of elemental strengths and balances, making complex astrological concepts more accessible to users.
vs alternatives: More user-friendly and visually engaging than traditional elemental analysis tools, which often present data in a less intuitive manner.
Allows users to compare different astrology systems by analyzing their charts through various frameworks, such as Western astrology versus Chinese astrology. This capability uses a comparative analysis framework that integrates multiple astrological principles, enabling users to see how different systems interpret their data. Its unique aspect is the ability to synthesize insights from diverse astrological traditions into a cohesive analysis.
Unique: Integrates insights from multiple astrological systems into a single analysis, providing a broader perspective on personal fortunes.
vs alternatives: Offers a more holistic view of astrology compared to tools that focus solely on one tradition.
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.
Ziwei & Bazi Astrology scores higher at 46/100 vs Supabase at 42/100.
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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
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