ADCIRC Model Setup MCP Server
Let your coding agent debug ADCIRC model setups, look up parameters, and validate configuration while you build coastal or ocean modeling workflows.
Overview
io.github.mansurjisan/adcirc-mcp is a Build-phase MCP server that helps debug ADCIRC model configuration, look up parameters, and validate setup through agent-callable tools.
What is this MCP server?
- ADCIRC model configuration debugging through MCP tools
- Parameter lookup for ADCIRC inputs and options
- Validation helpers for model setup before runs
- PyPI package adcirc-mcp with uvx runtime hint and stdio transport
- Version 0.1.1 from the ocean-mcp monorepo on GitHub
- Published version 0.1.1 on PyPI as adcirc-mcp
- Stdio MCP transport with uvx runtime hint
- Source repository: mansurjisan/ocean-mcp on GitHub
Community signal: 5 GitHub stars.
What problem does it solve?
Tuning ADCIRC namelists and inputs is error-prone, and bouncing between documentation and your editor slows solo builders iterating on coastal models.
Who is it for?
Solo coastal modelers and small teams using ADCIRC who already run Python tooling and want MCP-assisted setup checks in Claude Code or Cursor.
Skip if: General web developers with no ADCIRC workflow who only need generic database or HTTP MCP servers.
What do I get? / Deliverables
Your agent can query ADCIRC-oriented MCP tools for parameter help and validation signals while you stay in the IDE working on model files.
- Agent-accessible ADCIRC configuration debugging and parameter lookup
- Validation feedback on model setup before compute runs
- Repeatable MCP integration alongside other ocean-mcp servers
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Journey fit
ADCIRC setup is specialized engineering work that happens when you integrate scientific modeling tools into your stack, which maps to building product or research tooling rather than marketing or ops monitoring. The server connects an LLM agent to ADCIRC configuration knowledge via MCP, which is classic agent-tooling integration during build.
How it compares
Domain-specific scientific MCP for ADCIRC setup, not a generic code-review skill or a raw NOAA data feed server.
Common Questions / FAQ
Who is io.github.mansurjisan/adcirc-mcp for?
Builders and researchers working with ADCIRC storm surge and circulation models who want MCP tools for configuration debugging and validation in their coding agent.
When should I use io.github.mansurjisan/adcirc-mcp?
Use it while building or refining ADCIRC model setups—when you need parameter lookup and validation before launching long HPC runs or operational forecasts.
How do I add io.github.mansurjisan/adcirc-mcp to my agent?
Register the adcirc-mcp PyPI MCP server (stdio, version 0.1.1) in your MCP config; use uvx as the runtime hint if your client supports it, then restart the agent.