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    MCP server that enables natural language interaction with an Ansible repository, providing tools for inventory inspection, syntax checking, and playbook execution with configurable safety controls.
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    Enables AI assistants to interact with Gitea repositories through intelligent tools for issue/PR management, workflow analysis, compliance checking, and content generation, plus 200+ CLI commands for complete CRUD operations.
    22
    81 npm
    6
    MIT
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    Exposes open automation platform capabilities to AI agents with tools for managing job templates, inventories, collections, EDA activations, audit events, and policy checks, governed by gateway auth, RBAC, and policy enforcement.
    7
    Apache 2.0
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    Enables intelligent management of Google Cloud Platform infrastructure using Terragrunt, with support for experimental stacks, parallel deployments, resource visualization, cost analysis, and comprehensive infrastructure operations through natural language.
    1
    GPL 3.0
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    A multi-Jenkins server management and automation tool that enables intelligent scenario mapping, multi-server management, and complete CI/CD lifecycle operations through natural language interactions.
    11
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    A feature-complete TypeScript project template for rapidly developing Model Context Protocol tools with integrated best practices for code quality, testing, and automated deployment.
    1
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    Enterprise-grade MCP server exposing Ansible Automation Platform 2.x as a complete AI interface for LLMs, enabling natural language management of automation resources.
    86
    1
    Apache 2.0
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    Enables AI assistants to interact with SemaphoreUI for managing and running Ansible automation tasks through natural language commands.
    69
    24 PyPI
    94
    AGPL 3.0
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    Enables AI assistants to interact with Semaphore UI for managing Ansible, Terraform, and other automation workflows through project, task, template, and inventory management.
    37
    1
    MIT
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    Enables comprehensive management of Ansible Automation Platform Controller and Gateway through 17 specialized tools covering job execution, inventory management, workflows, credentials, user administration, and system monitoring.
    18
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    Enables AI clients to manage GitLab projects, merge requests, issues, pipelines, wiki, releases, tags, milestones, and repository operations via MCP over stdio, SSE, and Streamable HTTP. Supports personal access token and OAuth authentication plus read-only and modify permission modes.
    225,078 npm
    MIT
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    A curated MCP server for Semaphore UI that enables driving Ansible and Terraform automation from Claude with a safe, read-first tool surface.
    BSD 2-Clause "Simplified"
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    Industry-standard MCP server for AWX/AAP/Ansible Tower automation, enabling AI agents to manage job templates, launch and monitor jobs, and handle inventories and projects through natural language.
    14
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    Supply-chain gate for AI agent skills and MCP servers: poison-scan tool definitions, hash-pin the vetted set into a lock file and verify drift in CI. truecopy-mcp is a drop-in stdio proxy that filters a live server's tools/list down to its pinned, unmodified, unpoisoned tools.
    2
    256 npm
    2
    MIT
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    MCP server with the watch_ci tool that polls GitHub Actions until a commit's CI run finishes, then returns the outcome and failed log tail in one call.
    1
    MIT
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    Record an agent's MCP tool-call workflow once, replay it deterministically for zero tokens, and get a receipt — a snapshot-testing and deterministic-execution layer for Agent Skills.
    5
    120 npm
    3
    MIT
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    An MCP server that enables AI assistants to discover and execute Nox sessions for project automation tasks like testing, linting, and building. It provides tools to list available sessions and run them using specific Python versions, tags, or keyword expressions.
    2
    MIT
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    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
    20 npm
    5
    MIT
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    Enables AI coding agents to see their Odoo.sh projects by listing projects, branches and builds, waiting for a build to finish, reading build and server logs, and optionally rebuilding branches or updating the firewall. It runs read-only by default with bounded, time-limited tool calls, keeping the user's Odoo.sh session out of the agent's reach.
    8
    2
    MIT