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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 7 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Fetches and caches Trello board hierarchies (boards → lists → cards) via the Trello REST API, maintaining a local representation of board structure that can be queried without repeated API calls. Implements MCP resource protocol to expose boards as queryable entities with lazy-loading of nested lists and cards, reducing API rate-limit pressure for frequent state checks.
Unique: Exposes Trello's hierarchical structure (board → list → card) as MCP resources with lazy-loading, allowing LLM agents to query board state without reimplementing Trello API pagination and rate-limit logic
vs alternatives: Simpler than building custom Trello API wrappers because MCP handles protocol negotiation and resource discovery; more efficient than direct API calls because caching reduces redundant requests
Creates new cards in specified Trello lists by accepting card name, description, and list ID, then calling Trello's POST /cards endpoint with proper payload formatting. Supports optional parameters like due dates, labels, and assignees, with validation to ensure list exists before card creation to prevent orphaned cards.
Unique: Integrates card creation as an MCP tool that validates list existence before creation, preventing silent failures when targeting non-existent lists and providing structured error feedback to LLM agents
vs alternatives: More reliable than raw Trello API calls because it adds validation layer; more discoverable than direct API integration because MCP exposes it as a named tool with schema documentation
Updates card properties (name, description, due date, labels, position, list membership) via Trello's PUT /cards/{id} endpoint with field-level validation and conflict detection. Implements optimistic updates with rollback capability if the API rejects changes due to concurrent modifications or invalid state transitions.
Unique: Provides field-level validation before mutation and optional conflict detection, preventing invalid state transitions (e.g., moving card to non-existent list) that would silently fail in raw API calls
vs alternatives: More robust than direct Trello API calls because validation prevents malformed updates; more flexible than batch operations because it supports granular property updates without full card replacement
Retrieves all lists within a Trello board and exposes them as queryable resources with optional filtering by list name, ID, or status (open/closed). Uses Trello's GET /boards/{id}/lists endpoint with caching to avoid repeated enumeration, enabling agents to discover target lists dynamically without hardcoding list IDs.
Unique: Exposes list enumeration as a discoverable MCP resource with optional filtering, allowing agents to dynamically resolve list names to IDs without hardcoding or external lookup tables
vs alternatives: More agent-friendly than raw Trello API because it abstracts pagination and filtering; more efficient than querying board state repeatedly because it caches list metadata separately
Searches for cards across a board or within specific lists using criteria like card name, description content, labels, assignees, or due date ranges. Implements client-side filtering on top of Trello's GET /boards/{id}/cards endpoint since Trello API lacks server-side search, with optional caching to reduce API calls for repeated queries.
Unique: Provides multi-criteria card search with client-side filtering, enabling agents to locate cards by name, label, assignee, or due date without requiring hardcoded card IDs or manual board navigation
vs alternatives: More flexible than Trello's native search because it supports programmatic filtering by multiple criteria; more agent-friendly than raw API because it abstracts filtering logic into a named tool
Retrieves available labels on a board and applies or removes labels from cards via Trello's PUT /cards/{id}/idLabels endpoint. Supports label creation if labels don't exist, with color and name validation to ensure labels conform to Trello's constraints.
Unique: Abstracts label application and retrieval as MCP tools with support for label discovery and creation, allowing agents to apply semantic tags to cards without pre-configuring label IDs
vs alternatives: More discoverable than raw Trello API because labels are exposed as named tools; more flexible than hardcoded label IDs because it supports dynamic label creation and lookup
Exposes board and list metadata (name, description, creation date, member list, permission settings) as MCP resources with read-only access. Implements caching to avoid repeated metadata fetches, enabling agents to understand board context and member structure without querying Trello API repeatedly.
Unique: Exposes board and list metadata as cached MCP resources, providing agents with structural context (members, permissions, descriptions) without requiring separate metadata queries
vs alternatives: More efficient than repeated API calls because metadata is cached; more agent-friendly than raw API because it provides structured context in a single resource
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 Trello at 21/100.
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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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