Mia-Platform Console▌
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
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
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_IDandMIA_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
.envfile if present in the project root. You can create one by copyingdefault.envto.envand 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 startThen 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 variablePORT. More detail in the Environment Variables section.
Environment Variables
Environment variables located inside a file named .env are automatically included at service startup.
| Variable Name | Description | Required | Default Value |
|---|---|---|---|
LOG_LEVEL | Log level of the application | No | info |
PORT | Port number for the HTTP server | No | 3000 |
CONSOLE_HOST | The host address of the Mia-Platform Console instance | Yes | - |
MIA_PLATFORM_CLIENT_ID | Client ID for Service Account authentication | No | - |
MIA_PLATFORM_CLIENT_SECRET | Client secret for Service Account authentication | No | - |
CLIENT_EXPIRY_DURATION | Duration in seconds of clients generated with the DCR authentication flow. After this time, the client will be expired and cannot be used anylonger. | No | 300 |
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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.
List & Promote Your MCP Server
Share your MCP server with the developer community
Ratings
4.6★★★★★30 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.
showing 1-10 of 30