com.mcparmory/runpod MCP Server
com.mcparmory/runpod
Launch, scale, and manage GPU pods and serverless endpoints across regions with Runpod
What is the com.mcparmory/runpod MCP server?
The Runpod MCP server provides AI agents with tools to launch, scale, and manage GPU pods and serverless endpoints across multiple regions. It exposes the Runpod API as MCP tools, enabling programmatic control of compute infrastructure for machine learning workloads and serverless applications.
This server connects Claude and other AI agents to Runpod's GPU infrastructure platform. Use it to automate pod deployment, scaling, and management across regions, monitor resource usage, and integrate Runpod compute into AI-driven workflows without manual API calls.
How to install com.mcparmory/runpod
Copy-paste configuration for popular MCP clients.
Use cases
- Launch and manage GPU pods for machine learning training and inference
- Scale compute resources up or down based on workload demands
- Deploy serverless endpoints for real-time model serving
- Monitor and manage pods across multiple geographic regions
- Automate infrastructure provisioning as part of AI agent workflows
com.mcparmory/runpod MCP server FAQ
It's an MCP server that exposes Runpod's GPU pod and serverless endpoint management API as tools for AI agents, allowing programmatic control of compute infrastructure.
The server itself is free (MIT licensed), but using Runpod's infrastructure requires a Runpod account and incurs compute costs based on GPU usage.
Install via pip (`pip install mcparmory-runpod`) or use uvx (`uvx mcparmory-runpod`), then configure it in your MCP client settings with your Runpod API credentials.
You need a Runpod API key, which should be provided via environment variables when configuring the server.
You can launch GPU pods, manage serverless endpoints, scale resources, monitor pod status, and automate infrastructure provisioning across regions.
Yes, the server is auto-generated from Runpod's OpenAPI specification using MCP Blacksmith and tested against the live API.
README (reference)
Source of truth, from the repository.
MCP servers that connect AI agents to real-world APIs. Each server is a standalone Python package — generated from the upstream OpenAPI spec using MCP Blacksmith and tested against the live API before release. Hosted on MCP Armory or run independently.
<!-- SERVERS:BEGIN -->Servers
🧠 AI & Machine Learning ElevenLabs · Linkup · Parallel · Perplexity AI · Ragie · Replicate
📊 Analytics Ahrefs · Datadog · Google Analytics · Google Search Console · Linkly · Mixpanel · PostHog
⛓️ Blockchain & Crypto Alchemy NFT
💼 CRM & Sales Apollo
💬 Communication Atlassian Confluence · Google Gmail · MailerSend · Mailtrap · Postmark · Resend · Slack
🗄️ Data & Databases Enigma · Pinecone
🛠️ Developer Tools AgentQL · Apify · Bitbucket · Bright Data · Browserbase · BuiltWith · Canvas · CircleCI · Codacy · Contentful Management · ConvertAPI · E2B · Firecrawl · GitHub · GitLab · LaunchDarkly · Postman · Scrapingant · Semrush AppCenter · Sentry
📄 Documents & Printing PDF.co
🛒 E-commerce Shopify Admin
💰 Finance Alpha Vantage · Polygon · Ramp
👥 HR & Recruiting BambooHR
☁️ Infrastructure Globalping · Grafana · PagerDuty · Rootly · Runpod
⚖️ Legal & Compliance NetLicensing
🗺️ Maps & Location Google Maps Platform · IP2Location.io IP Geolocation · OpenCage Geocoding
📣 Marketing Customer.io Journeys Track · Klaviyo
🎬 Media & Entertainment Canva · Perigon
✅ Productivity Airtable · Asana · Atlassian Jira · ClickUp · Figma · Google Sheets · Miro · Notion · Outline · Shortcut
🔍 Search Algolia Search · Google Search
📦 Storage Box · Files.com · Google Drive
📌 Other Close
More servers are being added continuously.
<!-- SERVERS:END -->Install & Usage
Every server is a standalone PyPI package (mcparmory-<server-name>). Each server's own README.md has full credential setup and configuration instructions.
# With uvx (no install needed)
uvx mcparmory-github
# With pip
pip install mcparmory-github
mcparmory-github
MCP client configuration (Claude Desktop, Cursor, Codex, Claude Code):
{
"mcpServers": {
"github": {
"command": "uvx",
"args": ["mcparmory-github"],
"env": {
"BEARER_TOKEN": "ghp_your_token_here"
}
}
}
}
Features
Every server in this registry provides:
- Full API coverage — all endpoints from the OpenAPI spec are exposed as MCP tools
- Authentication — API key, Bearer token, Basic auth, OAuth2, JWT, OpenID Connect, and mutual TLS
- Multi-auth — servers that support multiple auth methods let you configure whichever you prefer
- Pydantic validation — request parameters are validated before sending to the API
- Resilience — configurable retries with exponential backoff, connection pooling, and timeouts
- Response sanitization — optional redaction of sensitive fields from API responses
How servers are generated
Servers are generated by MCP Blacksmith, an automated pipeline that:
- Parses an OpenAPI specification
- Transforms operations through LLM-driven passes (naming, parameter filtering, enhancement, classification)
- Generates a complete MCP server with auth, models, validation, and configuration
- Tests every tool against the live API using an autonomous agent
- Deploys passing servers to this registry
The generator targets Python 3.11+ and uses FastMCP as the MCP framework.
Contributing
Servers are auto-generated — don't edit server code directly. If you find an issue, open a GitHub Issue describing:
- Broken or deprecated endpoints
- Missing or incorrect parameters
- Authentication problems
- Incorrect request/response models
We'll re-generate the affected server with the fix. To request a new server, open an issue with a link to the API's OpenAPI spec or documentation.
License
Each generated server is released under the MIT License. The underlying APIs have their own terms of service — see individual server READMEs for details.
<p align="center"> <a href="https://mcparmory.com">MCP Armory</a> · <a href="https://mcpblacksmith.com">MCP Blacksmith</a> · <a href="https://docs.mcpblacksmith.com/quickstart">Docs</a> </p>
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