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| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 9 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Scans the local machine for installed MCP servers and automatically discovers their configurations, endpoints, and capabilities without manual setup. Uses filesystem introspection and process detection to identify MCP server installations, then registers them into a centralized registry accessible via remote HTTP endpoints. This eliminates the need for manual configuration files or hardcoded server addresses.
Unique: Implements a 'meta-MCP' pattern where the discovery service itself is exposed as an MCP server, allowing clients to query available servers through the same MCP protocol they use to interact with those servers, creating a unified interface for server enumeration and orchestration
vs alternatives: Unlike manual MCP configuration or environment-variable-based server lists, 1mcpserver provides zero-touch automatic discovery that works across heterogeneous server installations and exposes results through a standardized remote HTTP interface
Aggregates multiple local MCP servers into a single remote HTTP endpoint (https://mcp.1mcpserver.com/mcp/) that routes incoming MCP protocol requests to the appropriate local server based on tool/resource namespacing or explicit server selection. Implements request routing logic that translates HTTP-based MCP calls into local IPC or socket communication with individual servers, then marshals responses back to remote clients.
Unique: Implements a transparent HTTP-to-MCP protocol bridge that preserves MCP semantics (tool calling, resource access, sampling) while exposing them through a standard HTTP endpoint, enabling cloud-based AI agents to interact with local servers without requiring MCP protocol support in the client
vs alternatives: More flexible than individual server tunneling (ngrok, SSH tunnels) because it provides semantic routing and aggregation at the MCP protocol level; simpler than building custom API gateways because it understands MCP tool/resource structure natively
Stores and manages MCP server configurations (endpoints, authentication credentials, capabilities metadata) in a persistent registry, allowing users to save discovered servers and customize their settings without re-discovery on each startup. Provides a configuration management interface that tracks server status, availability, and custom metadata alongside auto-discovered server information.
Unique: Combines automatic discovery with manual configuration overrides in a single unified registry, allowing users to start with zero-touch auto-discovery and progressively customize individual servers without losing the benefits of automatic detection for new servers
vs alternatives: Unlike static configuration files (JSON, YAML) that require manual updates, 1mcpserver merges auto-discovery with persistent customization, reducing configuration drift while maintaining flexibility for custom server setups
Translates incoming HTTP requests into MCP protocol messages (JSON-RPC 2.0 format) and marshals responses back to HTTP, handling protocol conversion, error mapping, and payload serialization. Implements MCP protocol semantics including tool calling, resource access, and sampling request handling, ensuring that HTTP clients can invoke MCP capabilities without understanding the underlying protocol details.
Unique: Implements bidirectional MCP ↔ HTTP protocol translation that preserves MCP semantics (tool schemas, resource hierarchies, sampling directives) while exposing them through standard HTTP conventions, enabling seamless integration with HTTP-only clients
vs alternatives: More complete than simple HTTP wrappers because it handles full MCP protocol semantics; simpler than building custom API gateways because it reuses standard MCP protocol definitions
Continuously monitors the availability and health of discovered MCP servers by periodically sending heartbeat requests and tracking response times, error rates, and capability availability. Maintains a real-time status dashboard showing which servers are online, offline, or degraded, and provides historical metrics for capacity planning and troubleshooting.
Unique: Implements MCP-aware health checks that validate not just connectivity but also tool/resource availability and response correctness, going beyond simple TCP/HTTP health checks to ensure servers are functionally operational
vs alternatives: More sophisticated than generic HTTP health checks because it understands MCP protocol semantics; more lightweight than full APM solutions because it focuses specifically on MCP server availability
Dynamically queries discovered MCP servers to extract their tool schemas, resource definitions, and sampling capabilities, then exposes this metadata through a unified schema registry accessible to remote clients. Allows clients to discover available tools and resources without hardcoding server-specific knowledge, enabling dynamic tool binding and capability negotiation.
Unique: Implements a meta-layer that treats MCP server capabilities as first-class queryable entities, allowing clients to discover and bind to tools dynamically rather than through static configuration, enabling true plugin-like behavior for MCP servers
vs alternatives: More flexible than static tool registries because it automatically reflects server capability changes; more discoverable than documentation-based tool lists because schemas are machine-readable and queryable
Distributes incoming MCP requests across multiple instances of the same server (if available) using round-robin or weighted load balancing, and automatically fails over to healthy servers when one becomes unavailable. Implements request queuing and retry logic with exponential backoff to handle transient failures gracefully.
Unique: Implements MCP-aware load balancing that understands tool idempotency and resource affinity, allowing intelligent routing decisions based on tool semantics rather than generic HTTP load balancing rules
vs alternatives: More sophisticated than generic HTTP load balancers (nginx, HAProxy) because it understands MCP tool semantics; simpler than full service mesh solutions because it focuses specifically on MCP server routing
Bridges authentication and authorization between remote HTTP clients and local MCP servers, translating HTTP authentication (API keys, OAuth tokens, mTLS) into MCP-compatible authentication mechanisms. Implements per-server credential management and access control policies that enforce which clients can invoke which tools on which servers.
Unique: Implements a credential translation layer that maps HTTP authentication schemes to MCP server authentication requirements, enabling heterogeneous authentication across multiple servers while maintaining a unified authentication interface for clients
vs alternatives: More flexible than API gateway authentication because it understands per-server credential requirements; more secure than passing credentials through HTTP headers because it implements secure credential storage and translation
+1 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 1mcpserver at 25/100.
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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