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

  • logslim-mcp

    P156HAM
    A
    license
    A
    quality
    A
    maintenance
    Compacts noisy test, build, and cloud-log output before an AI agent reads it — dedupes repeats, collapses stack frames, folds Playwright retries, and renders CloudWatch/GCP JSON logs down to the signal. Typically 80–95% fewer tokens on failures. Tool: compact_output. Run: npx -y logslim logslim-mcp
    1
    13
    5
    MIT

  • platform-mcp

    K-manankov
    F
    license
    A
    quality
    B
    maintenance
    MCP server for Argo CD and Vault that allows authenticated users to run CLI commands via GitLab SSO, with confirmation for dangerous operations and secret redaction from model context.
    8
  • astro-airflow-mcp by astronomer

    astro-airflow-mcpofficial

    astronomer
    A
    license
    A
    quality
    F
    maintenance
    An MCP server that enables AI assistants to interact with Apache Airflow's REST API for DAG management, task monitoring, and system diagnostics. It provides comprehensive tools for triggering workflows, retrieving logs, and inspecting system health across Airflow 2.x and 3.x versions.
    31
    13
    Apache 2.0
  • CData Sync MCP Server by CDataSoftware

    CData Sync MCP Serverofficial

    CDataSoftware
    A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.
    24
    4
    MIT
  • LocalStack MCP Server by localstack

    LocalStack MCP Serverofficial

    localstack
    A
    license
    A
    quality
    C
    maintenance
    A Model Context Protocol (MCP) server for LocalStack that enables management of local AWS development environments, including container lifecycle operations, infrastructure deployments, log analysis with IAM policy generation, chaos injection, and Cloud Pods state management.
    7
    501
    25
    Apache 2.0

  • gh_mcp

    fvanevski
    A
    license
    A
    quality
    A
    maintenance
    A Python MCP server that wraps the GitHub CLI (gh) to provide structured tools for searching, reading, and managing GitHub resources like repos, issues, PRs, releases, and workflows, with write commands disabled by default.
    61
    MIT

  • Hatchet MCP Server

    GJakobi
    A
    license
    A
    quality
    D
    maintenance
    Enables monitoring and debugging of Hatchet workflows and jobs through MCP clients like Claude Code. Users can list workflows, track run statuses, query queue metrics, and retrieve job results using natural language commands.
    6
    2
    MIT

  • Structured Workflow MCP

    kingdomseed
    A
    license
    A
    quality
    B
    maintenance
    Enforces disciplined programming practices by requiring AI assistants to audit their work and produce verified outputs at each phase of development, following structured workflows for refactoring, feature development, and testing.
    20
    35
    12
    MIT

  • XcodeMCP

    lapfelix
    A
    license
    A
    quality
    C
    maintenance
    MCP server for Xcode build automation and log parsing that opens Xcode projects, triggers builds directly in Xcode, and parses build logs to extract errors and warnings.
    26
    69
    58
    Apache 2.0

  • TeamCity MCP Server

    Daghis
    A
    license
    A
    quality
    A
    maintenance
    Enables AI coding assistants to interact with JetBrains TeamCity CI/CD server through natural language commands. Supports triggering builds, monitoring status, analyzing test failures, and managing build configurations directly from development environments.
    32
    891
    28
    MIT

  • MCP-SST

    shanewwarren
    F
    license
    A
    quality
    D
    maintenance
    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.
    6
    2