| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 7 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes Mapbox Geocoding API as an MCP tool, allowing Claude and other MCP clients to perform forward and reverse geocoding operations. Implements MCP's tool schema interface to wrap Mapbox REST endpoints, translating natural language requests into structured geocoding queries with support for proximity bias, language preferences, and result filtering by feature type.
Unique: Implements MCP's standardized tool schema to wrap Mapbox Geocoding API, enabling seamless integration with Claude and other MCP-compatible clients without requiring custom API bindings or authentication management in client code. Uses MCP's resource and tool discovery mechanisms to expose Mapbox capabilities as first-class LLM tools.
vs alternatives: Provides native MCP integration for Mapbox geocoding, eliminating the need for custom function-calling implementations or REST API wrappers that other LLM frameworks require.
Exposes Mapbox Static Images API through MCP tools, allowing Claude to generate map images with custom styling, markers, overlays, and zoom levels. Translates high-level map requests (e.g., 'show me a map of San Francisco with markers at these coordinates') into Mapbox Static Images API calls with support for custom styles, attribution, and multiple output formats.
Unique: Bridges MCP's tool interface with Mapbox Static Images API, enabling Claude to generate map visualizations programmatically without requiring image generation models or custom rendering pipelines. Handles URL encoding, parameter validation, and style management transparently.
vs alternatives: Provides direct Mapbox map generation without relying on generic image generation models, ensuring cartographic accuracy and Mapbox-specific styling capabilities that generic image generators cannot match.
Exposes Mapbox Directions API as MCP tools, enabling Claude to compute optimal routes between locations with support for multiple routing profiles (driving, walking, cycling), traffic-aware routing, and waypoint optimization. Translates route requests into Mapbox Directions API calls and returns turn-by-turn instructions, distance/duration estimates, and geometry data.
Unique: Integrates Mapbox Directions API as an MCP tool, allowing Claude to reason about travel routes and optimize multi-stop journeys. Supports traffic-aware routing and waypoint optimization, enabling agents to make informed decisions about logistics and navigation.
vs alternatives: Provides traffic-aware routing and multi-waypoint optimization that generic routing libraries lack, with seamless MCP integration for agent-based decision making.
Exposes Mapbox Matrix API through MCP, computing distance and duration matrices between multiple origin and destination points. Implements efficient batch distance calculations for many-to-many location pairs, supporting traffic-aware estimates and multiple routing profiles. Returns structured matrices suitable for optimization algorithms and travel time analysis.
Unique: Provides batch distance/duration computation via MCP, enabling Claude to perform many-to-many location analysis without sequential API calls. Supports traffic-aware matrices for realistic travel time estimation in optimization contexts.
vs alternatives: Enables efficient batch distance computation that sequential routing calls cannot match, with traffic awareness for realistic logistics optimization.
Exposes Mapbox Isochrone API through MCP tools, generating reachability polygons that show areas accessible within specified time or distance thresholds from a given location. Supports multiple routing profiles and contour levels, returning GeoJSON polygons suitable for visualization or spatial analysis. Enables accessibility-based location analysis and service coverage assessment.
Unique: Integrates Mapbox Isochrone API as an MCP tool, enabling Claude to generate and reason about accessibility polygons for location-based analysis. Supports multiple contour levels and routing profiles for nuanced accessibility assessment.
vs alternatives: Provides accessibility-based spatial analysis that routing-only approaches cannot offer, with seamless MCP integration for location intelligence workflows.
Implements the MCP server protocol for Node.js, handling client connections, tool schema registration, and request/response routing. Manages authentication via Mapbox API tokens, implements error handling for API failures, and provides structured logging for debugging. Automatically exposes all Mapbox capabilities as discoverable MCP tools with proper schema validation.
Unique: Implements the full MCP server lifecycle for Mapbox, handling protocol negotiation, tool schema registration, and request routing. Manages Mapbox API authentication transparently, allowing clients to call Mapbox tools without managing credentials.
vs alternatives: Provides a complete, production-ready MCP server implementation for Mapbox, eliminating the need for custom protocol implementations or manual tool schema management.
Exposes Mapbox Tilesets and Vector Tiles APIs through MCP, enabling Claude to query raw geographic data from Mapbox tilesets. Supports querying features by bounding box or point, filtering by properties, and retrieving vector tile data for custom analysis. Enables data-driven decision making based on underlying geographic datasets.
Unique: Provides MCP-based access to Mapbox vector tile data, enabling Claude to query and analyze raw geographic datasets without requiring GIS software. Supports property-based filtering and spatial queries on tileset features.
vs alternatives: Enables direct access to Mapbox tileset data through MCP, providing geographic data analysis capabilities that generic APIs cannot offer.
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 @mapbox/mcp-server at 29/100. @mapbox/mcp-server leads on adoption and ecosystem, while Supabase is stronger on quality.
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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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