"Information about Time MCP" matching MCP servers:

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

Enables triggering Jenkins builds from IDEs with Slack notifications, requiring only a one-time login.

Enables retrieving comprehensive information about GitLab merge requests, including details, commits, diffs, discussions, approvals, and CI/CD status, through natural language.

A Model Context Protocol server that allows management of Netlify sites, enabling users to create, list, get information about, and delete Netlify sites directly from an MCP-enabled environment.

A Model Context Protocol server that enables integration with GitHub Actions, allowing users to fetch available actions, get detailed information about specific actions, trigger workflow dispatch events, and fetch repository releases.

Enables AI assistants to interact with Terraform Cloud workspaces and runs, including checking run status, listing workspaces, and retrieving detailed information about workspaces and runs.

Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.

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.

A read-only MCP server that exposes a self-hosted Atlassian Bamboo instance to AI assistants, enabling natural language queries about builds, deployments, and plan status.

Enables triggering GitHub repository dispatch events, creating issues, and retrieving repository information.

Finds version and image tag from latest successful GitHub Actions workflow run and creates a Confluence release page documenting that information.

Exposes Jenkins CI/CD capabilities as MCP tools, including job management, builds, pipelines, and Terraform/GCP log inspection.

Generates complex draw.io diagrams (tables, kanbans, GANTT) using a local 9B LLM with RAG, featuring a real-time dashboard and CI/CD pipeline.

Analyzes Testing Farm jobs, checks job status, and investigates failures with detailed error information.

Enables AI applications to retrieve GitHub repository information, manage issues, and monitor workflow statuses through the GitHub REST API.

Enables natural language management of servers, deployments, and build pipelines through the Komodo infrastructure platform. It provides over 60 tools for automated workflows, real-time monitoring, and secure HMAC-authenticated infrastructure control.

Provides AI assistants with access to Capawesome documentation and Cloud management tools, enabling app, build, and deployment operations via API token authentication.

Enables AI assistants to monitor GitHub repository health by calculating health scores, fetching repository metadata, analyzing Dependabot alerts, checking CI/CD status, and retrieving code scanning alerts.

Agent-readiness scorecard for any MCP server: protocol checks, 0-100 score and actionable findings.

Checks npm and PyPI packages for outdated versions, deprecation status, and breaking changes with cited sources, enabling AI agents to verify dependency freshness.