Troubleshooting

This page is the canonical symptom → fix guide.

Diagnosis Order

Start with the earliest layer that could be broken:

  1. Client connection — the MCP tools do not appear or the server cannot start.

  2. Runtime paths — the server starts, but data or output paths are not visible.

  3. Data loading — the file is visible, but the format or folder layout is wrong.

  4. Analysis prerequisites — the data loaded, but a downstream method is missing preprocessing, metadata, or optional dependencies.

  5. Resources — the analysis is valid but runs out of memory, GPU, or time.

MCP Connection Problems

Tools not showing in the client

  1. Confirm you used the correct config file for your client.

  2. Confirm the Python path is an absolute path from which python.

  3. Check the config file for JSON/TOML syntax errors.

  4. Restart the client after configuration changes.

  5. Test the server directly:

python -m chatspatial server --help

If you need the exact config file format, go back to the Configuration Guide.

“python not found” or “module not found”

  • Make sure ChatSpatial is installed inside the environment you configured

  • Re-run which python inside the activated environment

  • Update the MCP config to use that exact path

Docker / GHCR Problems

docker: command not found

Install Docker Desktop or Docker Engine, confirm docker --version works, then restart your MCP client.

Pull fails for the GHCR image

Check the image name and network access:

docker pull ghcr.io/cafferychen777/chatspatial:v1.2.10

MCP tools do not appear when using Docker

  • Use --rm -i, not -it, in MCP stdio configuration

  • Use absolute host paths in -v mounts

  • Restart the MCP client after changing configuration

Dataset not found in Docker

Mount the host data directory and use the container path in prompts:

-v /Users/alice/spatial-data:/data:ro

Load /data/sample.h5ad

Do not prompt with /Users/alice/spatial-data/sample.h5ad; that path exists on the host, not inside the container. The full Docker mount model is maintained in Docker / GHCR.

Permission denied on mounted outputs

Confirm the host output directory exists and Docker has permission to write there. On Docker Desktop, also check file-sharing permissions for the mounted parent directory.

Data Loading Problems

“Dataset not found”

Use an absolute path:

❌ ~/data/sample.h5ad
❌ ./data/sample.h5ad
✅ /Users/yourname/data/sample.h5ad

File format not recognized

  • H5AD: verify with python -c "import scanpy as sc; sc.read_h5ad('file.h5ad')"

  • Visium: point to the directory containing the spatial/ folder

  • HDF5 check: file yourdata.h5ad

Analysis Problems

“Run preprocessing first”

Most analyses require preprocessing first.

Preprocess the data

“No significant results”

  • check data quality (>500 spots, >1000 genes)

  • lower significance thresholds

  • try a different analysis method

Cell communication fails

Use species/resource pairs that match the dataset:

For mouse: species="mouse", liana_resource="mouseconsensus"
For human: species="human", liana_resource="consensus"

Resource Problems

System freezes / MemoryError

  • subsample data for testing

  • reduce batch sizes

  • monitor memory with top

  • use 32GB+ RAM or cloud resources for large datasets

CUDA out of memory

  • set use_gpu=False

  • reduce batch size

  • clear cached GPU memory if your workflow allows it

Quick Fix Table

Problem

First fix

Import errors

Reinstall with uv pip install chatspatial[full]

resolution-too-deep

Use uv instead of pip

Client not connecting

Re-check config and restart the client

Docker pull fails

Run docker pull ghcr.io/cafferychen777/chatspatial:v1.2.10 and check network access

Docker dataset not found

Mount the host data directory and prompt with /data/...

Path errors

Use absolute paths

Analysis fails immediately

Run preprocessing first

R methods fail

Install R and the required R packages

Still Stuck?