| Ecosystem |
| 1 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 12 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Decodes Vehicle Identification Numbers (VINs) to extract comprehensive vehicle metadata including make, model, year, engine specifications, and production details. Implements server-side VIN parsing via the CarAPI backend, returning structured JSON with standardized vehicle attributes. The MCP server acts as a stateless proxy that translates VIN queries into CarAPI database lookups, caching results in-memory per request to avoid redundant decoding operations.
Unique: Provides instant VIN decoding via stateless MCP proxy without requiring clients to manage CarAPI authentication directly — the server handles Bearer token injection server-side, reducing client-side credential exposure and simplifying multi-client deployments
vs alternatives: Faster integration than direct CarAPI REST calls because MCP abstraction eliminates HTTP boilerplate and supports native function calling across multiple AI platforms simultaneously
Performs reverse lookup of vehicle registration data using license plate numbers, returning owner information, registration status, and vehicle details. The MCP server translates plate queries into CarAPI's plate-lookup endpoint, handling regional plate format variations and returning standardized registration records. Supports lookups across multiple jurisdictions by accepting region/state parameters alongside the plate string.
Unique: Abstracts region-specific plate format handling and privacy compliance logic server-side, allowing clients to submit plates without understanding jurisdiction-specific validation rules or PII redaction policies
vs alternatives: More privacy-compliant than direct CarAPI calls because the MCP server can enforce consistent PII redaction policies across all clients, whereas direct API access leaves redaction responsibility to each consumer
Provides a free carapi_docs tool that allows clients to search CarAPI documentation and API reference materials without requiring authentication. The MCP server implements a documentation search interface that queries CarAPI's public documentation, returning relevant articles, API endpoint descriptions, and usage examples. Supports full-text search and filtering by topic.
Unique: Provides free, unauthenticated documentation search as a public tool, allowing potential customers and agents to explore CarAPI capabilities without API key requirements
vs alternatives: More accessible than requiring API key for documentation because it lowers the barrier to entry for evaluation and allows agents to provide documentation support without credential management
Supports MCP tool invocation from multiple AI platforms and clients including Claude Desktop, Claude Code, Cursor, ChatGPT, Cline, and Zed. The MCP server implements the standard MCP protocol specification, ensuring compatibility with any client that supports MCP function calling. Clients can connect by configuring the MCP server URL and providing authentication credentials.
Unique: Implements standard MCP protocol, enabling single-server deployment that works across multiple AI platforms without platform-specific adapters or custom integrations
vs alternatives: More flexible than platform-specific integrations because a single MCP server deployment works across Claude, ChatGPT, Cursor, and other MCP-compatible clients without duplication
Queries stolen vehicle databases to verify whether a vehicle (identified by VIN or plate) is reported stolen or flagged in law enforcement systems. The MCP server implements a stateless lookup against CarAPI's stolen-vehicle index, returning boolean status and metadata about theft reports. Supports batch verification by accepting multiple VINs/plates in a single request, with results mapped back to input identifiers.
Unique: Implements server-side batch verification logic that maps results back to input identifiers, allowing clients to screen multiple vehicles in a single MCP call without managing request/response correlation
vs alternatives: More efficient than sequential REST calls because batch verification reduces network round-trips and allows the server to optimize database queries across multiple lookups simultaneously
Retrieves historical mileage records and odometer readings for a vehicle across multiple data points (service records, inspections, auctions, listings). The MCP server aggregates mileage data from CarAPI's connected data sources, returning a timeline of recorded mileage with timestamps and source attribution. Detects odometer inconsistencies (e.g., mileage decreases) and flags potential fraud indicators.
Unique: Aggregates mileage data from multiple heterogeneous sources (service records, auctions, inspections, listings) and normalizes timestamps, allowing clients to see a unified mileage timeline without managing source-specific data formats
vs alternatives: More comprehensive than single-source mileage lookups because it cross-references multiple data streams to detect inconsistencies that would be invisible in isolated records
Retrieves historical inspection records, safety certifications, and compliance reports for a vehicle. The MCP server queries CarAPI's inspection database to return records from emissions tests, safety inspections, MOT (Ministry of Transport) records, and other regulatory certifications. Results include inspection dates, pass/fail status, noted defects, and issuing authority information.
Unique: Centralizes inspection data from multiple regulatory authorities and certification bodies into a single MCP interface, eliminating the need for clients to query jurisdiction-specific inspection databases separately
vs alternatives: Simpler than aggregating inspections manually because it handles jurisdiction-specific database access and data normalization server-side, presenting a unified inspection timeline to clients
Retrieves available photos, images, and media assets for a vehicle from CarAPI's connected data sources (listings, auctions, dealer inventories, inspection reports). The MCP server returns URLs and metadata for vehicle images, including image type (exterior, interior, detail shots), source attribution, and capture date. Supports filtering by image type and source.
Unique: Aggregates vehicle images from multiple heterogeneous sources (dealer listings, auctions, inspections) and normalizes metadata, allowing clients to retrieve a complete visual record without managing source-specific image APIs
vs alternatives: More efficient than scraping individual listing sites because it provides centralized access to images across multiple sources with consistent metadata, reducing client-side scraping complexity
+4 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 carapidev 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