| Ecosystem |
| 0 |
| 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 8 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Executes arbitrary commands across three distinct Windows shell environments (PowerShell, CMD, Git Bash) through a unified MCP tool interface. Each shell is configured with default invocation patterns and can be dynamically selected per command. The CLIServer class routes execution requests through a shell-agnostic abstraction layer that handles process spawning, output capture, and exit code reporting while maintaining shell-specific environment variables and working directory contexts.
Unique: Implements a unified MCP tool abstraction over three distinct Windows shells with configurable invocation patterns per shell (defined in config.json via shells.powershell, shells.cmd, shells.gitbash keys), allowing clients to select execution context per-command rather than maintaining persistent shell sessions. Uses process spawning via Node.js child_process module with configurable timeout controls and output buffering.
vs alternatives: Supports native Windows shells (PowerShell, CMD) directly without WSL translation layer, eliminating cross-subsystem overhead and compatibility issues that affect WSL-based alternatives.
Manages persistent SSH connections to remote systems through an SSHManager class that maintains a connection pool, supporting both password and private-key authentication. Commands are executed on remote hosts through established SSH sessions, with automatic connection lifecycle management (creation, reuse, cleanup). The system implements dynamic SSH configuration management allowing clients to add, update, and remove SSH connection profiles through MCP tools without server restart.
Unique: Implements a stateful SSH connection pool (SSHManager class) that persists connections across multiple command invocations, reducing SSH handshake overhead for repeated commands to the same host. Supports dynamic SSH configuration management through MCP tools, allowing runtime addition/removal of SSH profiles without server restart — configuration changes are reflected immediately in the connection pool.
vs alternatives: Maintains persistent SSH connections with pooling, reducing latency for sequential remote commands by ~500-1000ms per command compared to stateless SSH alternatives that establish new connections per invocation.
Implements a multi-layer command validation system that prevents execution of dangerous commands through configurable blocklists, argument filtering, and injection attack prevention. The validation pipeline checks commands against a blocklist (e.g., rm, del, format), filters dangerous arguments (e.g., /s, /q flags), detects command chaining operators (|, &&, ||, ;), and enforces path restrictions to limit execution directories. Validation rules are defined in the configuration file and applied before any command execution occurs.
Unique: Implements a configuration-driven validation pipeline (defined in src/types/config.ts and enforced in command validation system) with multiple independent checks: blocklist matching, argument filtering, command chaining detection, and path restriction enforcement. Validation rules are externalized to config.json, allowing operators to customize security policies without code changes. Uses regex-based pattern matching for injection detection and simple string containment checks for blocklist enforcement.
vs alternatives: Provides operator-configurable security policies through config.json rather than hardcoded rules, enabling organizations to define custom blocklists and path restrictions aligned with their security posture without forking the codebase.
Implements a four-tier configuration loading strategy that searches for configuration files in priority order: command-line specified path (--config flag), local directory (./config.json), user home directory (~/.win-cli-mcp/config.json), and built-in restrictive defaults. Configuration is loaded via utilities in src/utils/config.ts and validated against the ServerConfig interface defined in src/types/config.ts. This approach allows operators to override defaults at multiple levels without modifying the codebase, with each tier overriding the previous one.
Unique: Implements a hierarchical configuration loading strategy with four tiers (command-line > local directory > user home > built-in defaults) that allows configuration to be specified at multiple levels without code changes. Built-in defaults are intentionally restrictive (deny-by-default security posture), requiring operators to explicitly enable features. Configuration is validated against a TypeScript interface (ServerConfig) ensuring type safety at load time.
vs alternatives: Provides environment-aware configuration without requiring environment variable parsing or complex templating, using standard JSON files that can be version-controlled and deployed alongside infrastructure-as-code tools.
Integrates with the Model Context Protocol (MCP) SDK to expose command execution capabilities as MCP tools and system state as MCP resources. The CLIServer class implements the MCP server interface, handling tool calls from MCP clients (e.g., Claude Desktop) and translating them into command executions. Tools are registered for each shell type and SSH operations, while resources expose system state (e.g., available SSH connections, shell configurations). The server operates as a stdio-based MCP server, communicating with clients through JSON-RPC messages over standard input/output.
Unique: Implements the CLIServer class as a full MCP server that translates MCP tool calls into command executions across multiple shell backends and SSH connections. Tools are registered for each shell type (powershell, cmd, gitbash) and SSH operations (execute, add-connection, remove-connection), with each tool mapping to a specific command execution path. Resources expose system state (available SSH connections, shell configurations) for client introspection. Uses MCP SDK's stdio transport for communication with clients.
vs alternatives: Provides a standardized MCP interface for Windows CLI access, enabling integration with any MCP-compatible client (Claude Desktop, custom agents) without custom protocol implementation, compared to proprietary REST or WebSocket APIs.
Enforces configurable timeout limits on command execution to prevent runaway processes from consuming system resources indefinitely. Timeouts are applied at the process level using Node.js child_process timeout mechanisms, with a default timeout value configurable in the ServerConfig. When a command exceeds the timeout threshold, the process is forcefully terminated and an error is returned to the client. Timeout values can be customized per shell or globally through configuration.
Unique: Implements timeout enforcement through Node.js child_process timeout parameter, which automatically terminates the process if execution exceeds the configured threshold. Timeout values are configurable per shell or globally through the ServerConfig interface, allowing operators to customize limits based on expected command duration. Timeout enforcement is applied uniformly across all shell types and SSH connections.
vs alternatives: Provides automatic process termination on timeout without requiring manual monitoring or external process managers, compared to manual timeout handling that requires explicit signal management and cleanup logic.
Provides MCP tools for dynamic management of SSH connection profiles, allowing clients to add, update, and remove SSH connections at runtime without server restart. The SSHManager class maintains the connection pool and configuration state, with each SSH profile stored in the configuration. When a profile is added or updated, the SSHManager immediately reflects the change, and subsequent commands can use the new connection. Removed profiles are cleaned up from the connection pool, and any active connections are closed.
Unique: Implements runtime SSH profile management through MCP tools that directly modify the SSHManager's connection pool and configuration state without requiring server restart. Profile changes are immediately reflected in subsequent command executions. The system supports both password and private-key authentication, with credentials stored in the configuration and passed to the SSH client at connection time.
vs alternatives: Enables dynamic SSH connection management without server restart, compared to static configuration approaches that require redeployment or service interruption to add/remove SSH targets.
Captures both stdout and stderr from executed commands into memory buffers, combining them into a single output stream returned to the client. Exit codes are captured separately and reported alongside the output, allowing clients to determine command success/failure. Output buffering uses Node.js child_process stdout/stderr streams, with all output accumulated in memory until the process completes. The combined output and exit code are returned as structured data in the MCP tool result.
Unique: Implements output capture through Node.js child_process stdout/stderr event handlers that accumulate output in memory buffers. Both streams are combined into a single output string, with exit codes captured separately through the 'close' event. The combined output and exit code are returned as a structured object in the MCP tool result, allowing clients to inspect both success status and command output in a single response.
vs alternatives: Provides simple, synchronous output capture without requiring external logging infrastructure or file-based output redirection, compared to approaches that write to temporary files or require post-processing to correlate output with exit codes.
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 Windows CLI 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