developer-tools

Mia-Platform Console

mia-platform

by mia-platform

Integrate with Mia-Platform Console APIs to streamline platform engineering and cloud operations for faster deployments

Integrate with Mia-Platform Console APIs for platform engineering and cloud operations

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

OAuth2.1 with Dynamic Client RegistrationService account support for machine-to-machine authDocker deployment ready

best for

  • / Platform engineers managing Mia-Platform infrastructure
  • / DevOps teams automating cloud operations
  • / Developers building on Mia-Platform

capabilities

  • / Integrate with Mia-Platform Console APIs
  • / Automate cloud platform operations
  • / Manage development workflows
  • / Authenticate via service accounts or OAuth2
  • / Perform company-wide operations

what it does

Connects to Mia-Platform Console APIs to automate cloud platform operations and development workflows. Supports both service account and OAuth authentication.

about

Mia-Platform Console is an official MCP server published by mia-platform that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate with Mia-Platform Console APIs to streamline platform engineering and cloud operations for faster deployments It is categorized under developer tools.

how to install

You can install Mia-Platform Console in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server supports remote connections over HTTP, so no local installation is required.

license

Apache-2.0

Mia-Platform Console is released under the Apache-2.0 license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

Mia-Platform Console MCP Server

pipeline status license

Introduction

The Mia-Platform Console MCP Server is a Model Context Protocol (MCP) server that provides seamless integration with Mia-Platform Console APIs, enabling advanced automation and interaction capabilities for developers and tools.

Prerequisites

To use the Mia-Platform Console MCP Server in your client (such as Visual Studio Code, Claude Desktop, Cursor, Gemini CLI or others), you first need to have a valid account on the Mia-Platform Console instance you want to communicate with. You will be required also to include the instance host address you in the environment variable named CONSOLE_HOST.

You may decide to access via:

  • Service Account to perform machine-2-machine authentication and have full access to the MCP capabilities to perform operations on the Company where the S.A. has been created (for more information, visit our official documentation on how to create a Mia-Platform Service Account). If you do so, you need to include the environment variables MIA_PLATFORM_CLIENT_ID and MIA_PLATFORM_CLIENT_SECRET.
  • Using your own credentials: Mia-Platform Console MCP Server follows the Model Context Protocol specifications on authentication using OAuth2.1 and Dynamic Client Registration: clients that follow that specifications will be able to discover the authentication endpoints of the selected Mia-Platform instance you want to access to and guide you to perform the log in.

How to Run

You can run stable versions of the Mia-Platform Console MCP Server using Docker. You can get detailed guide in the related page of the Mia-Platform documentation.

If you don't have Docker installed, or you simply wish to run it locally, you can use NPM and Node.js. Once you have cloned the project you can run the commands:

npm ci
npm run build

These commands will install all the dependencies and then transpile the typescript code in the build folder.

NOTE

The server automatically loads environment variables from a .env file if present in the project root. You can create one by copying default.env to .env and updating the values as needed.

Once these steps are completed you can setup the MCP server using the node command like the following:

{
  "mcp": {
    "servers": {
      "mia-platform-console": {
        "command": "node",
        "args": [
          "${workspaceFolder}/mcp-server",
          "start",
          "--stdio",
          "--host=https://console.cloud.mia-platform.eu"
        ]
      }
    }
  }
}

TIP

Alternatively, you start the service after the build with the following command:

node mcp-server start

Then add the mcp server to your client simply including the url. As example for VS Code:

{
  "mcp": {
    "servers": {
      "mia-platform-console": {
        "type": "http",
        "url": "http://localhost:3000/console-mcp-server/mcp"
      }
    }
  }
}

Instead of 3000, please include the port defined in the environment variable PORT. More detail in the Environment Variables section.

Environment Variables

Environment variables located inside a file named .env are automatically included at service startup.

Variable NameDescriptionRequiredDefault Value
LOG_LEVELLog level of the applicationNoinfo
PORTPort number for the HTTP serverNo3000
CONSOLE_HOSTThe host address of the Mia-Platform Console instanceYes-
MIA_PLATFORM_CLIENT_IDClient ID for Service Account authenticationNo-
MIA_PLATFORM_CLIENT_SECRETClient secret for Service Account authenticationNo-
CLIENT_EXPIRY_DURATIONDuration in seconds of clients generated with the DCR authentication flow. After this time, the client will be expired and cannot be used anylonger.No300

Local Development

To help with the development of the server you need Node.js installed on your machine.
The recommended way is to use a version manager like nvm or mise.

Once you have setup your environment with the correct Node.js version declared inside the .nvmrc file you can run the following command:

npm ci

Once has finished you will have all the dependencies installed on the project, then you have to prepare an environment file by copying the default.env file and edit it accordingly.

cp default.env .env

Finally to verify everything works, run:

npm run local:test

If you are not targeting the Console Cloud installation you can use the --host flag and specify your own host

npm run local:test  -- --host https://CONSOLE_HOST

This command will download and launch the MCP inspector on http://localhost:6274 where you can test if the implementation will work correctly testing the discovery of tools and prompts without the needs of a working llm environment.

To run tests for new implementations you can use:

npm test

Or running a test for a single file run:

node --test --import tsx <FILE_PATH>

FAQ

What is the Mia-Platform Console MCP server?
Mia-Platform Console is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Mia-Platform Console?
This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.630 reviews
  • Aisha Nasser· Dec 24, 2024

    According to our notes, Mia-Platform Console benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Amelia Sanchez· Dec 8, 2024

    Useful MCP listing: Mia-Platform Console is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Kwame Thompson· Nov 27, 2024

    Strong directory entry: Mia-Platform Console surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Aisha Okafor· Nov 15, 2024

    We wired Mia-Platform Console into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Ama Khanna· Oct 18, 2024

    I recommend Mia-Platform Console for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Daniel Thompson· Oct 6, 2024

    Mia-Platform Console is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Arya Dixit· Sep 25, 2024

    Useful MCP listing: Mia-Platform Console is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Oshnikdeep· Sep 9, 2024

    Mia-Platform Console has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Valentina Desai· Sep 9, 2024

    According to our notes, Mia-Platform Console benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Ganesh Mohane· Aug 28, 2024

    According to our notes, Mia-Platform Console benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

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