| Ecosystem |
| 1 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
This capability allows users to create various 3D objects in Autodesk Maya using the MCP protocol. It leverages the Maya API to instantiate objects like cubes or spheres by sending structured JSON commands to the server, which then executes the commands in the Maya environment. The implementation ensures that the commands are validated and executed in a safe environment, preventing unauthorized operations.
Unique: Utilizes direct API calls to Maya for object creation, ensuring immediate feedback and execution within the Maya environment.
vs alternatives: More efficient than traditional scripting as it directly interfaces with the Maya API without intermediary steps.
This capability allows users to select objects in the Maya scene by their names through the MCP protocol. It sends a command to the server that interacts with the Maya API to identify and highlight specified objects, making it easier for users to manipulate or query them further. The command is structured in JSON format, ensuring clear communication between the AI assistant and the Maya environment.
Unique: Directly interfaces with the Maya selection API, providing immediate feedback on the selection status.
vs alternatives: Faster and more reliable than manual selection methods, as it eliminates the need for user interaction.
This capability enables users to transform objects in the Maya scene, including moving, rotating, and scaling them. It sends transformation commands in JSON format to the MCP server, which then translates these into API calls to Maya. The implementation ensures that transformations are applied in real-time, allowing for immediate visual feedback in the Maya workspace.
Unique: Utilizes real-time API calls to apply transformations, ensuring immediate updates in the Maya interface.
vs alternatives: More efficient than manual transformations, as it allows batch processing of multiple objects.
This capability captures output from the Maya console, including errors and logs, by sending commands to the MCP server. It enables users to retrieve a specified number of lines from the console output, which can be useful for debugging scripts or monitoring operations. The implementation ensures that the output is filtered and formatted for easy consumption.
Unique: Integrates directly with Maya's console output, allowing for real-time monitoring and debugging.
vs alternatives: More comprehensive than manual logging, as it captures all relevant output in a structured format.
This capability allows users to load and unload plugins in Maya through the MCP protocol. It sends commands to the server that interact with the Maya API to manage plugins, ensuring that they are loaded or unloaded safely and correctly. The implementation includes checks to prevent conflicts and ensure that only compatible plugins are activated.
Unique: Provides a safe execution environment for plugin management, preventing conflicts and ensuring stability.
vs alternatives: More reliable than manual plugin management, as it automates the loading/unloading process with built-in checks.
This capability allows users to execute arbitrary Python commands in Maya using the MCP protocol. It sends commands to the server that are then executed in the Maya Python environment, enabling users to perform complex operations or automate tasks. The implementation includes error handling to ensure that any issues during execution are reported back to the user.
Unique: Directly executes Python commands in the Maya environment, providing immediate feedback and results.
vs alternatives: Faster than traditional script execution methods, as it bypasses file I/O overhead.
This capability retrieves detailed information about the current scene in Maya, including object attributes and transformations. It sends a request to the MCP server, which interacts with the Maya API to gather the requested data and return it in a structured format. The implementation ensures that the data is comprehensive and relevant to the user's needs.
Unique: Utilizes direct API calls to gather scene data, ensuring accuracy and relevance of the retrieved information.
vs alternatives: More efficient than manual inspection, as it provides structured data for further analysis.
This capability retrieves detailed information about node connections in Maya, including input and output connections. It sends a request to the MCP server, which queries the Maya API for the specified node's connection details. The implementation ensures that the information is accurate and formatted for easy interpretation.
Unique: Directly interfaces with the Maya API to retrieve connection data, ensuring immediate and accurate results.
vs alternatives: More detailed than manual inspection, as it provides structured data for complex node networks.
+2 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 MAYA MCP at 34/100.
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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