"The official LinkedIn platform or related resources" matching MCP servers:

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.

Enables AI agents to interact with 1C: Enterprise development environment, including running tests, managing launch profiles, building configurations, and performing database operations through the 1C: Platform Tools extension.

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.

Connects to a GCP-hosted AOSP build VM via IAP tunnel, uploads APKs as privileged system apps, and builds system.img.

Automates enterprise Power Platform project setup and management via MCP, reducing setup time from weeks to hours through template-based provisioning, Azure DevOps orchestration, and direct API integration.

Exposes Power Platform Pipeline operations as MCP tools for Copilot Studio agents, enabling pipeline discovery, deployments, approvals, and configuration management.

OBTO gives your AI assistant a hosted app platform: it scaffolds, deploys, and operates real full-stack apps — pages, APIs, database, scheduled jobs — in a workspace created automatically at your first Google sign-in.

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.

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 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.

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 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.

A FastAPI-based JSON-RPC 2.0 server implementation that enables users to work with HDF5 files, submit Slurm jobs, retrieve CPU information, and visualize CSV data through standardized API endpoints.

Enables users to inspect ephemeral GitHub Actions runner fleet status, SLOs, incidents, capacity recommendations, and cost evidence through read-only MCP tools, without allowing infrastructure or cluster mutations.

An MCP-style stdio server for evaluating AI agent outputs, enabling CI-friendly quality gates, regression comparisons, and canary promotion decisions.

Enables AI assistants to interact with Bitbucket repositories, pull requests, and related resources through the Bitbucket Cloud and Server APIs. It supports operations such as listing repositories, retrieving repository details, and fetching or creating pull requests.

A LangGraph-powered MCP server for infrastructure orchestration with autonomous subagents.