"SST" matching MCP servers:

Enables monitoring and control of the SST development process by streaming dev logs, managing Lambda invocations, and executing lifecycle commands like start, stop, and restart. It provides real-time access to event streams and deployment status directly through the Model Context Protocol.

Interactive, streaming SSH tool for LLM agents that enables spawning long-running remote commands with live line-by-line output, signal handling, stdin input, and SFTP file transfer.

MCP server for managing remote servers via SSH, enabling command execution, file transfer, rsync, tunnels, health checks, backups, and database operations.

Enables converting Indian GST tax invoices into government INV-01 JSON payloads via OCR and deterministic extraction, with tools to validate GSTINs and re-validate payloads, and reports exactly what it couldn't read.

Provides prompt injection detection, PII/secrets redaction, and an audit trail for AI agents via MCP tools.

AST-targeted code editing MCP server with 28 surgical tools for structural edits across 11 languages. Built on tree-sitter, replaces brittle search/replace with byte-correct edits keyed by symbol names.

Enables LLM agents to explore JavaScript/TypeScript repositories through parsed syntax trees by returning compact file outlines, precise symbol definitions, and local dependency graphs. It keeps access read-only and sandboxed to chosen roots while using a bounded, flood-proof stdio transport.

Exposes persistent, stateful remote Bash sessions to AI agents via SSH, enabling command execution with preserved working directory and environment.

Enables managing multiple remote Linux hosts over SSH via MCP, with command execution, SFTP file operations, and Windows DPAPI-protected credentials.

A high-performance MCP server that manages persistent SSH sessions via a local tmux instance, enabling command execution, file transfer, and session monitoring for AI agents.

SSH MCP is a Model Context Protocol tool for managing and interacting with multiple virtual machines over SSH. It simplifies executing commands on remote servers using the standard SSH config file format.

A robust, language-agnostic Model Context Protocol (MCP) server that provides AI coding agents with the ability to edit files surgically via Abstract Syntax Trees (AST) instead of relying on token-heavy, brittle search-and-replace or diff operations.

Enables MCP clients to store encrypted SSH host credentials and execute remote commands over pooled SSH connections, including single commands, prompt-answering interactive runs, and multi-step playbooks. Hosts can be listed, created, updated, and deleted through tools, with credentials kept server-side and never echoed back.

Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.

Enables logical entailment and satisfiability checks by dispatching formal SMT-LIB queries to both Z3 and cvc5, returning auditable solver verdicts, counterexamples, and caveats.

Enables reading diagnostic data from remote servers over SSH using a whitelist of read-only commands, with secret redaction.

Transcribes audio files by referencing them in chat, using OpenAI's speech-to-text models locally without uploading audio, and supports speaker diarization.

Enables AI assistants to manage remote servers via SSH with 43 specialized tools for command execution, file editing, directory operations, and background tasks across Linux, macOS, and Windows.

Enables AI agents to establish and manage persistent SSH sessions, supporting smart command execution, async tasks, multi-host, sudo, and file operations through SFTP.

Enables natural-language search and retrieval of live statistics from Norway's Statistics Norway, including table discovery, dimension selection, and latest-figure queries, all indexed locally for fast responses.

Enables AI assistants to search and analyze codebases using Abstract Syntax Tree (AST) pattern matching with ast-grep. Supports structural code search, pattern testing, and AST visualization across multiple programming languages.

Lets AI clients execute shell commands and transfer files on remote machines via configured aliases, while keeping credentials and audit logs local.

Enables AI agents to execute SSH commands, read files, and list directories on remote hosts with a configurable command-safety policy.

MCP server that analyzes TypeScript/JavaScript codebases via AST parsing and dependency graph tracing to identify affected tests, detect dead code, circular dependencies, and trace import chains, enabling AI agents to run only relevant tests.

Enables AI clients to manage remote Linux workspaces over OpenSSH, including file read/write/edit, glob/grep search, shell command execution, and background job management, with authentication handled interactively in a terminal.

Enables AI coding agents to efficiently explore codebases by providing structural outlines, module digests, symbol bodies, and AST-aware grep via MCP.

Provides deep structural analysis of Python source code via AST, including function signatures, call graphs, cyclomatic complexity, code smells, dead code detection, and protocol conformance.

Automatically collects daily report data from KPI systems using browser automation and Google OAuth login. Generates structured Markdown reports for specified date ranges with persistent session management.

Enables AI agents to safely access and administer remote machines over SSH using existing OpenSSH config, with typed tools for running commands, reading and writing files, listing directories, and retrieving file metadata.

An MCP server that gives AI agents SSH access to remote machines through your local OpenSSH client, enabling remote command execution, file transfer, persistent shell sessions, and port forwarding.