| Ecosystem | 1 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Exposes Proxmox VE infrastructure (nodes, VMs, containers, storage) as MCP tools that Claude and other LLM clients can invoke. Uses the MCP server specification to translate Proxmox REST API responses into structured tool definitions, enabling LLMs to query cluster state without direct API knowledge. Implements read-only access by default with optional credential-based authentication to the Proxmox API endpoint.
Unique: Minimal Docker-based MCP server that directly wraps Proxmox REST API without intermediate abstraction layers, enabling single-command deployment ('one Docker command') while maintaining read-only safety defaults and MCP protocol compliance
vs alternatives: Simpler deployment and lower operational overhead than building custom Proxmox integrations in Python/Go, and safer by default (read-only) compared to exposing raw Proxmox API to LLMs
Automatically generates MCP tool definitions (name, description, input schema, output schema) by introspecting Proxmox REST API endpoints and translating them into LLM-callable tools. Maps Proxmox API parameters to JSON Schema for input validation and structures responses as typed outputs that Claude can parse and act upon. Handles authentication headers and endpoint routing transparently.
Unique: Leverages Proxmox API structure to programmatically generate MCP tool schemas rather than requiring manual tool definition, reducing maintenance burden and keeping tool definitions aligned with API versions
vs alternatives: Avoids hand-written tool definitions that drift from API reality, unlike static MCP server implementations that require code changes for each new endpoint
Manages authentication to Proxmox VE REST API using either API tokens (preferred, fine-grained permissions) or username/password credentials. Stores credentials securely (environment variables or config files) and injects them into all outbound Proxmox API requests as Bearer tokens or Basic Auth headers. Validates credentials at server startup and fails fast if authentication fails.
Unique: Supports both Proxmox API tokens (fine-grained, revocable) and legacy username/password auth, with read-only default configuration that prevents accidental infrastructure modifications through the MCP interface
vs alternatives: More secure than embedding credentials in MCP tool definitions, and supports Proxmox's modern token-based auth unlike older integration approaches that rely solely on user accounts
Packages the Proxmox MCP server as a Docker image with pre-configured entrypoint, environment variable injection, and network binding. Enables deployment via a single 'docker run' command with credential and endpoint configuration passed as environment variables. Includes health checks and graceful shutdown handling for container orchestration systems.
Unique: Advertises 'one Docker command' deployment model, eliminating installation complexity and dependency conflicts by bundling the entire MCP server runtime and Proxmox client libraries into a single container image
vs alternatives: Faster to deploy and more reproducible than manual installation from source, and requires less operational knowledge than building and running the server natively
Enforces read-only access to Proxmox infrastructure by default, preventing Claude or other LLM clients from accidentally (or maliciously) modifying VMs, containers, or cluster state through MCP tools. Provides configuration option to selectively enable write operations (VM power control, container management) for trusted deployments, with audit logging of all state-modifying operations.
Unique: Defaults to read-only access, requiring explicit opt-in for write operations, which is a safer-by-default approach than exposing full API capabilities and relying on LLM judgment to avoid destructive actions
vs alternatives: Prevents accidental infrastructure damage that could occur with unrestricted API access, and provides a clear security boundary that can be audited and enforced at the MCP server level rather than relying on Proxmox RBAC alone
Implements the Model Context Protocol (MCP) specification, enabling the Proxmox server to be discovered and invoked by any MCP-compatible client (Claude Desktop, LLM frameworks, custom applications). Handles MCP message serialization/deserialization, tool invocation routing, and response formatting according to the MCP standard. Supports both stdio and HTTP transport modes for flexible client integration.
Unique: Adheres to the MCP specification, enabling seamless integration with Claude and other MCP-aware clients without requiring custom protocol adapters or client-specific code
vs alternatives: More interoperable than proprietary integration approaches, and enables future compatibility with new MCP clients as the ecosystem grows
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 proxmox-mcp at 24/100. proxmox-mcp leads on ecosystem, while Supabase is stronger on quality.
Need something different?
Search the match graph →© 2026 Unfragile. Stronger through disorder.
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