"Crawling News from Official Journals" matching MCP servers:

Enables AI assistants to connect to an Octopus instance so they can inspect, query, and diagnose deployments while managing projects, releases, runbooks, tasks, tenants, deployment targets, and certificates through natural language. Supports read-only or write-enabled modes with configurable toolsets and a REST backstop for API operations.

Enables AI assistants to inspect, query, and diagnose projects, deployments, releases, runbooks, tasks, tenants, Kubernetes resources, machines, certificates, accounts, and interruptions, with optional write operations and read-only safeguards.

Connects AI assistants to an Octopus instance so they can inspect, query, and diagnose deployments, projects, releases, runbooks, tenants, and infrastructure through curated read and write tools. It can also create releases, trigger deployments, run runbooks, and call Octopus REST APIs, with read-only and delete-restricted modes for safer operation.

Enables AI assistants to inspect, query, and diagnose problems in a continuous delivery platform, and to perform release, deployment, runbook, task, tenant, and related operational actions with configurable read-only or write access.

Enables AI assistants to inspect, query, and diagnose deployments, releases, runbooks, tasks, tenants, and infrastructure inside an Octopus instance through its APIs. Supports read-only and write-gated modes, toolset selection, and structured REST access for both interactive use and automation.

Enables AI assistants to inspect, query, and diagnose problems within an Octopus Deploy instance, with tools for projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, targets, certificates, accounts, and approvals, plus a structured REST backstop. Runs read-only by default-optional write and delete modes so assistants can also create releases, deploy, and run runbooks under confirmation.

Enables AI assistants to connect to an Octopus instance to inspect, query, and diagnose deployments, and optionally create releases, deploy releases, run runbooks, and adjust feature toggles.

Enables AI assistants to inspect, query, and diagnose problems within an Octopus instance, and optionally create releases, deploy releases, run runbooks, and adjust feature toggles through MCP tools.

Connects AI assistants to an Octopus instance so they can inspect, query, and diagnose deployment state, and, when write tools are enabled, create releases, deploy them, and run runbooks. Supports read-only mode and toolset scoping for safer, more controlled access.

Enables AI assistants to inspect, query, and diagnose an Octopus instance and perform release, deployment, runbook, and feature-toggle operations via curated tools and a REST backstop.

Enables AI assistants to inspect, query, and diagnose issues in an Octopus Deploy instance and perform release, deployment, runbook, and feature-toggle operations through MCP tools, with read-only and write-confirmation controls.

Enables AI assistants to inspect, query, and diagnose an Octopus instance and, when write access is enabled, create releases, deploy releases, run runbooks, and adjust feature toggles.

Enables AI assistants to connect to Octopus instances to inspect, query, and diagnose deployment and operational data, and to perform release, deployment, runbook, and feature-toggle actions with configurable read-only safeguards.

Connects AI assistants to a user's instance so they can inspect, query, and diagnose projects, deployments, releases, runbooks, tasks, tenants, Kubernetes resources, and other operational data. Optionally enables gated write actions such as creating releases, deploying them, running runbooks, and adjusting feature toggles.

Enables AI assistants to inspect, query, diagnose, and operate an Octopus instance through MCP tools for projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, machines, certificates, accounts, and interruptions, with read-only or write-enabled modes.

Lets AI assistants inspect, query, and diagnose an Octopus Deploy instance, covering projects, releases, deployments, runbooks, tasks, tenants, Kubernetes, machines, certificates, and accounts. Supports read-only operation plus gated write actions such as creating releases, deploying them, and running runbooks through natural language.

Enables AI assistants like Claude Code and ChatGPT to inspect, query, and diagnose problems within an Octopus instance, and optionally create releases, deploy them to environments and tenants, and run runbooks. Tools are grouped into toolsets covering projects, deployments, releases, runbooks, tasks, tenants, Kubernetes, machines, certificates, accounts, and interruptions, with a read-only mode for production use.

Enables AI assistants to connect to an Octopus instance to inspect, query, and diagnose deployment problems, with toolsets covering projects, releases, deployments, runbooks, tenants, Kubernetes, machines, and accounts. Supports read-only mode and gated write operations for creating releases, deploying, and running runbooks.

Automates the full setup and deployment of Ballerina + Apache ActiveMQ integrations inside a WSO2 Integrator workspace, from broker validation to a runnable BI-low-code-ready project.

Enables AI agents to retrieve the latest semantic version tags for container images from Docker Hub, GHCR, Quay, and other OCI registries, allowing them to pin specific versions for reproducible deployments.

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

Fetches the latest version numbers for popular GitHub Actions from simonw/actions-latest, allowing users to easily check and update workflow versions.

Uptime monitoring your AI agent can set up: create HTTP, SSL, ping, TCP and DNS monitors checked from multiple regions, run checks on demand, read and acknowledge incidents, manage cron heartbeats, maintenance windows and status page updates.

Checks whether software dependencies (npm packages, GitHub Actions, MCP servers, Docker images) are alive, dormant, abandoned, archived, or deleted using dated observations from lastseen.dev.

Analyzes, plans, and benchmarks LLM workload migration from x86 to Arm64, generating measurable speedups using free GitHub Arm runners.

Converts Jenkins declarative pipelines into GitHub Actions workflow YAML files, facilitating migration from Jenkins to GitHub Actions CI/CD.

A temporary MCP server that scrapes Bitrise Insights using Playwright to fetch flaky test data, providing tools to query workspace and app test insights until the official API is released.

MCP server for Bitbucket Cloud that enables reviewing, managing, and merging pull requests, assigning reviewers by name, reading files at a ref, and inspecting pipeline status from any MCP client.

Enables management of Railway.app infrastructure through natural language, including deploying services from GitHub repos or Docker images, managing environment variables, monitoring deployments, and configuring networking and volumes.

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