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| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability generates detailed horoscope predictions based on Vedic astrology principles using the Raman Ayanamsa system. It processes user birth chart data to derive over 200 life aspect predictions, leveraging a combination of astrological rules and algorithms to interpret planetary positions and their influences. The implementation is designed to handle multiple requests efficiently, making it suitable for high-traffic scenarios.
Unique: Utilizes a comprehensive set of Vedic astrology rules encoded in algorithms to produce nuanced predictions, distinguishing it from simpler astrology tools that may rely on generic templates.
vs alternatives: More detailed and personalized than many generic astrology APIs due to its reliance on Vedic principles.
This capability assesses compatibility between two individuals using 16 Kuta factors derived from their birth charts. It employs a scoring system that evaluates various astrological aspects, providing a detailed report that outlines strengths and weaknesses in the relationship. The system is designed to deliver results quickly, allowing for real-time compatibility checks.
Unique: Incorporates a detailed scoring system based on 16 Kuta factors, providing a more nuanced compatibility analysis compared to simpler tools that may only offer binary compatibility results.
vs alternatives: Offers a more comprehensive analysis than many other astrology compatibility tools by using a multi-factor scoring approach.
This capability generates numerology predictions based on the Chaldean numerology system, analyzing user names to derive insights about personality traits and life paths. It processes input names to calculate various numerological values and provides interpretations that are unique to the Chaldean system, distinguishing it from other numerology approaches.
Unique: Focuses specifically on Chaldean numerology, providing interpretations that are not available in other numerology tools that may use different systems.
vs alternatives: Delivers deeper insights based on Chaldean principles, unlike many numerology tools that offer generic interpretations.
This capability retrieves raw astrological data for all nine planets and twelve houses based on user birth chart information. It processes the input to extract detailed planetary positions and house placements, providing foundational data that can be used for further astrological analysis or application development. The implementation ensures high accuracy by adhering to Vedic astrology standards.
Unique: Provides comprehensive raw data that is specifically tailored for Vedic astrology, making it a valuable resource for practitioners who require detailed planetary information.
vs alternatives: Offers more detailed and structured raw data than many astrology APIs that only provide high-level summaries.
This capability retrieves 24 general properties of Vedic astrology, such as Lagna, Moon sign, and Nakshatra, based on user birth chart data. It processes the input to extract these essential astrological attributes, which are crucial for a variety of astrological interpretations and applications. The implementation is optimized for speed and accuracy, ensuring timely responses.
Unique: Focuses on a comprehensive set of 24 properties that are essential for Vedic astrology, providing a level of detail not commonly found in other astrology data retrieval tools.
vs alternatives: Delivers a more extensive set of general astrology properties than many competing services that may only offer a subset.
This capability generates Sarvashtakavarga and Bhinnashtakavarga charts based on user birth chart data, which are essential for predictive astrology in Vedic practices. It processes planetary positions and house placements to create these charts, which help in assessing the strength of planets in various houses. The implementation is designed to ensure accuracy and adherence to traditional Vedic methods.
Unique: Generates both Sarvashtakavarga and Bhinnashtakavarga charts, providing a dual perspective on planetary strengths that is unique among astrology tools.
vs alternatives: Offers a more comprehensive analysis of planetary strengths than many astrology services that focus on single-chart interpretations.
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 VedAstro MCP Server at 33/100.
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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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