"The official Python standard library documentation" matching MCP servers:

A DevOps-friendly template for building MCP servers with CI/CD, Docker support, and automatic documentation generation using fastmcp and FastAPI.

Lets your coding agent check whether a production deploy actually worked. It waits for DeployAngel's verdict on a release (cleared, failed, or not cleared yet) and reads the evidence when one fails, including jobs that quietly stopped running.

MCP Blast-Radius Auditor — statically extract what an MCP server can touch and detect declaration divergences against manifest.json. Stdio MCP (mcp-blast-radius) plus CI gate (mcp-blast-radius-gate). pip install mcp-blast-radius==0.2.0

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 automated Python code quality checks including linting, complexity analysis, typo detection, structure validation, duplicate detection, and test coverage, with integration into Cursor IDE and CLI.

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.