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ACCESS-CI MCP ServersConnect your AI assistant to ACCESS-CI resources, communities, and data.
Public Model Context Protocol servers — query compute resources, check system status, search software, explore allocations, and more through natural conversation.
What is MCP?
The Model Context Protocol (MCP) is an open standard that lets AI assistants securely interact with external tools, systems, and data sources. It provides a universal interface for AI to read data, call functions, and reason over real-world context. MCP is supported by Claude and a growing number of AI tools.
What You Can Do
With ACCESS-CI MCP servers connected, you can ask your AI questions like:
- "What GPU resources are available on ACCESS-CI?"
- "Are there any current outages or upcoming maintenance on Delta?"
- "Show me upcoming workshops on parallel computing"
- "What machine learning software is available on Anvil?"
- "What NSF-funded projects are doing work in quantum computing?"
Your AI queries the relevant ACCESS services and gives you a synthesized answer — no need to navigate multiple websites or APIs.
Available Servers
ACCESS-CI MCP servers provide structured access to:
- Compute Resources — Hardware specifications, GPU availability, system capabilities
- System Status — Outages, maintenance schedules, and incidents
- Software Discovery — Software packages available across ACCESS resources
- XDMoD — Usage statistics, visualizations, and resource utilization
- Allocations — Research projects, allocation trends, and collaboration discovery
- NSF Awards — NSF funding data and cross-referencing
- Events — Workshops, webinars, and training sessions
- Announcements — Community news and updates
- Affinity Groups — Communities, events, and knowledge base resources
A tenth server, XDMoD Data Analytics, provides per-user job and usage data via Claude Code (it requires API headers that aren't supported by Claude.ai connectors). Details →
Quick Start
Most tools work without authentication — adding a server takes about a minute.
Claude Desktop / claude.ai
- Open Customize > Connectors > Add custom connector
- Paste a server URL — start with
https://mcp.access-ci.org/compute-resources/sse - Authorize when prompted
You can add as many or as few servers as you need. See the Getting Started guide for all server URLs.
Claude Code
See the Getting Started guide for CLI commands and configuration.
Other MCP Clients
The Model Context Protocol is supported by a growing number of AI tools. ACCESS MCP servers should work with any client that supports remote MCP servers — see the Other MCP Clients section for details. We'd love to hear about your experience: open a support ticket so we can expand our documentation.
Self-Hosting
Want to run the servers yourself? See the setup guide for Docker deployment instructions.
Supported by ACCESS-CI
These MCP servers are built to work with official ACCESS-CI APIs and are designed to help researchers more effectively discover and utilize cyberinfrastructure resources.