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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 10 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Implements a FastMCP server that translates natural language requests from LLM clients into authenticated OAuth1 API calls to the DevHub CMS backend, using requests-oauthlib for credential injection and structured response formatting. The server acts as a translation layer that handles authentication state management, request serialization, and response deserialization without requiring LLMs to implement native DevHub API integration.
Unique: Uses FastMCP framework to expose DevHub CMS as standardized MCP tools, eliminating need for LLMs to implement custom DevHub API clients. OAuth1 credentials are injected at server startup via environment variables, allowing multiple LLM clients (Claude Desktop, Cursor, Claude Code) to share a single authenticated session without exposing secrets to the LLM.
vs alternatives: Simpler than building native DevHub integrations into each LLM client; more secure than passing API credentials in prompts because authentication happens server-side before LLM invocation.
Exposes DevHub CMS operations as standardized MCP tools that work across Claude Desktop, Cursor IDE, Claude Code CLI, and Smithery package manager through a single FastMCP server implementation. Tools are declaratively defined with schema validation, parameter documentation, and structured output formatting, enabling LLM clients to discover and invoke capabilities without custom integration code.
Unique: Implements a single FastMCP server that automatically works with Claude Desktop (via uvx + claude_desktop_config.json), Cursor IDE (via MCP config), Claude Code CLI (via claude mcp add), and Smithery (via npx install) without code changes. Tool schemas are declaratively defined once and reused across all client types.
vs alternatives: More maintainable than building separate integrations for each client; MCP standardization ensures consistent behavior across Claude Desktop, Cursor, and CLI tools, whereas custom integrations would require per-client testing and maintenance.
Provides tools to query DevHub CMS business and location data with hierarchical relationships, including get_businesses (retrieve all businesses), get_locations (retrieve locations for a specific business), get_nearest_location (find closest location by coordinates), and site_from_url (resolve business from website URL). Implements geospatial distance calculation and URL-to-business reverse lookup, enabling LLMs to navigate multi-location business structures.
Unique: Combines business-location hierarchy traversal with geospatial distance calculation (get_nearest_location) and reverse URL-to-business lookup (site_from_url), enabling LLMs to resolve business context from multiple input types (IDs, coordinates, URLs) without requiring users to manually specify business/location relationships.
vs alternatives: More flexible than static business lookups because it supports geospatial queries and URL resolution; enables location-aware workflows that would require manual business ID specification in simpler systems.
Exposes get_hours_of_operation (retrieve current hours for a business/location) and update_hours (modify hours with validation and persistence to DevHub CMS). Updates are immediately persisted to the DevHub backend via authenticated API calls, enabling LLMs to manage business hours directly without manual CMS access. Supports structured hours data with day-of-week granularity.
Unique: Provides bidirectional hours management (read + write) with immediate persistence to DevHub CMS, allowing LLMs to both retrieve current hours and update them in a single workflow. Updates bypass manual CMS UI, enabling automation of hours changes for seasonal/holiday scenarios.
vs alternatives: More powerful than read-only hours queries because it enables LLM-driven automation of hours updates; more direct than requiring users to manually edit hours in the CMS UI.
Implements get_blog_post (retrieve published blog content by slug), create_blog_post (publish new blog posts with title, body, metadata), and update_blog_post (modify existing posts) with full persistence to DevHub CMS. Each operation maps to authenticated DevHub API endpoints, enabling LLMs to manage blog content lifecycle without CMS UI access. Supports structured metadata (tags, categories, publish status).
Unique: Provides full CRUD operations for blog posts with immediate persistence to DevHub CMS, enabling LLMs to both read published content and generate/update posts in a single workflow. Integrates with LLM text generation capabilities to enable end-to-end AI-assisted blog authoring.
vs alternatives: More complete than read-only blog APIs because it enables LLM-driven content creation and updates; more direct than requiring manual CMS UI access for publishing.
Exposes upload_image tool that accepts image files (binary or base64-encoded) and persists them to DevHub CMS media storage with metadata (alt text, title, description). Handles multipart form encoding for file transmission and returns media asset URLs/IDs for reference in blog posts and other content. Integrates with DevHub's asset management backend.
Unique: Integrates image upload directly into the MCP tool set, enabling LLM agents to upload images generated by AI tools (DALL-E, Midjourney) or provided by users without leaving the MCP context. Returns asset URLs that can be immediately referenced in blog posts or other content.
vs alternatives: More integrated than separate image hosting because images are stored in DevHub CMS alongside content; enables end-to-end workflows where LLMs generate text + images and publish both together.
Supports four distinct installation methods (Claude Desktop via uvx, Cursor IDE via MCP config, Claude Code CLI via claude mcp add, Smithery via npx) that deploy the same FastMCP server code to different environments. Each method handles platform-specific configuration (config file paths, environment variable injection, package registry integration) while maintaining identical server behavior. Enables developers to choose deployment method based on their LLM client preference.
Unique: Single FastMCP codebase supports four distinct installation methods (Claude Desktop, Cursor, Claude Code, Smithery) without code changes, using platform-specific configuration and package managers. Developers choose installation method based on their LLM client preference, not based on different server implementations.
vs alternatives: More flexible than single-client integrations because same server works across Claude Desktop, Cursor, and CLI; more maintainable than separate implementations for each client because code is shared.
Manages DevHub CMS OAuth1 credentials (API key, API secret, base URL) through environment variables (DEVHUB_API_KEY, DEVHUB_API_SECRET, DEVHUB_BASE_URL) that are read at server startup and injected into all API requests via requests-oauthlib. Credentials are never exposed to LLM clients or stored in configuration files, enabling secure multi-client access without credential sharing. Supports both local development and containerized deployment.
Unique: Implements server-side credential injection via environment variables, ensuring OAuth1 secrets never reach LLM clients or appear in prompts. Credentials are read once at startup and cached, enabling multiple LLM clients to share a single authenticated session without exposing secrets.
vs alternatives: More secure than passing credentials in prompts because authentication happens server-side; more practical than per-client credentials because multiple clients share one authenticated session.
+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 DevHub at 22/100.
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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