"Octopus Deploy" matching MCP servers:

A server that enables interaction with Octopus Deploy through the Model Context Protocol, allowing users to manage projects, releases, and deployments across different spaces.

Lets Claude analyse your Octopus Energy account: usage, costs, tariff comparisons, Saving Sessions, Octoplus rewards.

Unified deployment dashboard MCP server for AI agents. 9 tools to manage services across Vercel, Render, Railway, and Fly.io — deploy status, logs, service listing, environment variables, rollback, and health checks from one endpoint. Free tier: 50 requests/IP/day.

A hardened, self-hosted MCP server that lets AI agents query and govern an Infraveil control plane in-loop, reading state and filing deploy/remediation requests that require human approval.

AI-powered VMware vCenter/ESXi monitoring and operations. 20 MCP tools for inventory queries, health monitoring, VM lifecycle management, fast provisioning (Linked Clone, OVA, template deploy), snapshot management, and datastore browsing. Supports vSphere 6.5–8.0. Works with local models via Ollama/LM Studio.

MCP server exposing 570 config-driven dev tools across plan, develop, QA, feedback automation, and deploy stages, with meta-tools for searching and running them via natural language.

Enables AI agents to deploy and manage simulated AWS resources (like EC2, S3, DynamoDB) on a local Floci instance through natural language.

An MCP server that gives AI agents deterministic, verified access to ISO 8583 field specs, MTI decoding, jPOS packager XML generation, deploy descriptor validation, message building, and jPOS documentation search.

MCP server for the Symbols.app platform, enabling AI coding assistants to search docs, generate components, audit code, manage projects, and deploy via the smbls stack.

VibOps MCP is the control plane between your AI agents and your GPU infrastructure. 74 tools covering: GPU fleet management (deploy, scale, monitor across NVIDIA, AMD, Intel, AWS, Google, Groq), Agent Infrastructure Control Plane (per-agent GPU cost, budget enforcement, model policies, dependency graph), governance (AI Act, SOC 2, immutable HMAC audit chain), and GPU FinOps (chargeback, waste..)..

Lets AI assistants interact with Node-RED to read flows, search nodes, edit function code, deploy changes safely, and manage modules.

An MCP server that connects to the Google Play Developer API to deploy apps, manage releases, respond to reviews, and monitor app health through an AI assistant.

Diablo II Resurrected modding toolkit — character builder, mod build/deploy pipeline, save inspector, CASC reader, and MCP server for Claude/Codex/AI integration. Linux/Steam Deck.

An MCP server that enables AI agents to interact with Modal, allowing them to deploy apps and run functions in a serverless cloud environment.

Enables management of Verda Cloud GPU instances through Claude, allowing users to deploy spot instances, attach volumes, and monitor status. It supports automated workflows for checking availability and configuring instances with startup scripts.

Enables LLMs to build, validate, smoke test, and deploy Imperal apps using a declarative IR format directly from the editor.

Enables AI agents to deploy applications to AWS with DevOps capabilities by automatically inferring infrastructure needs from code and generating inspectable Infrastructure as Code specifications.

Enables interaction with Bitcoin's blockchain through Claude to embed and read data using OP_RETURN, create timestamps, deploy BRC-20 tokens, and store documents up to 100KB on-chain.

Enables retail investors to create calendar-based investment plans, review portfolios, deploy cash, rebalance with fees in mind, and pick stocks using deterministic engines and public data, generating suggested orders only.

A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client, allowing users to easily create and deploy custom AI tools.