Context7 for REMORA Workflows

Context7 can expose project documentation to MCP-enabled coding assistants in real time. For REMORA work, this helps keep parameter suggestions and API lookups grounded in current docs.

How It Fits

With MCP configured, an assistant can retrieve relevant sections from docs on demand instead of relying only on model pretraining memory.

This is useful for:

• REMORA inputs editing and explanation,

• AMReX-level parameter and API questions,

• mixed C++/Python workflows that also touch pyAMReX.

Setup

1. Configure Context7 in your client using: Context7 client documentation.

2. Add the documentation namespaces you want available to the assistant.

3. Restart/reload the client so MCP tools are active.

Recommended Namespaces

For REMORA-focused usage, these two are the highest-value baseline:

• AMReX: context7.com/amrex-codes/amrex

• pyAMReX: context7.com/amrex-codes/pyamrex

If a REMORA-specific Context7 namespace is available in your environment, add that as well.

Practical Usage Pattern

1. Start from Exec/Generic/inputs_generic for full parameter coverage.

2. Ask the assistant to cross-check a small set of keys against docs context.

3. Apply edits, then run a short REMORA test.

4. Iterate in small changes rather than rewriting the full file in one pass.

Example prompts:

• “Using Context7 docs, explain these parameters and suggest conservative values: remora.cfl, amr.max_level, geometry.prob_lo.”

• “Update this case from z-level style assumptions to REMORA sigma-coordinate expectations and list what changed.”