"Executing terminal commands and retrieving log outputs" matching MCP servers:

A log analysis MCP server that enables tailing, searching, filtering, and summarizing logs from local files and Docker containers.

Enables AI agents to execute and interact with terminal commands through MCP, supporting command-line operations and workflows.

Enables AI agents to run shell commands, execute Python code, read and write files, search text, and create or delete folders through MCP stdio tools.

A lightweight MCP server that enables AI assistants to interact with the local machine through terminal, filesystem, and Python execution tools.

Enables AI agents to execute terminal commands and Python scripts, search and manage files, and create or delete folders through the Model Context Protocol.

Ranks log patterns by volume and cost on Splunk, Datadog, Elasticsearch, CloudWatch and ClickHouse, and plans compact, tier down or offload for the excess over each cap. Runs locally over stdio; no log data reaches log10x. Read-only against a public demo dataset without an API key.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

Enables AI agents to create and control persistent terminal sessions, run and monitor asynchronous jobs, page through ordered event history, and resolve registered device connection details without exposing stored secrets. Exposes 15 MCP tools over stdio that mirror a REST API, keeping session state alive independently of the agent that started it.

An MCP server built with FastMCP that provides basic terminal abilities like running commands, running Python, and working with files and folders.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

AI visibility and SEO data for AI agents. Check whether ChatGPT, Claude, Perplexity and Gemini mention your brand and which sources they cite, plus keyword volume and Google Trends.

Enables querying of Hong Kong government data on elderly community care services, such as waiting times and applicant counts.

Provides access to Hong Kong climate and weather data from the Hong Kong Observatory, including current conditions, forecasts, warnings, tides, and more.

Query Langfuse traces, schema and datasets, scores and metrics, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.

Provides a secure, sandboxed interface for LLM agents to interact with HPC clusters via bubblewrap isolation, managing workspaces and executing commands locally or through Slurm.

Allows Claude desktop app to execute terminal commands and edit files on your computer through MCP, with features including command execution, process management, and diff-based file editing.

An MCP server that gives an agent terminal and file-management capabilities, including running shell/Python commands, searching and reading files, and creating/editing/deleting files and folders.

A secure MCP server for shell operations, terminal management, and process control, enabling AI assistants to safely execute commands and manage interactive sessions.

A WorkFlowy MCP Server with node creation, recursive gets, updates, completions, search and replace (with a dry run mode), usage reports, a configurable list of exposed commands and customizable log output.

Enables file IO operations and terminal commands via agentic actions using the MCP protocol.