title: "Fixing MCP Deployment Issues in Docker/Vercel" description: "Troubleshoot MCP deployment failures in Docker containers and Vercel serverless environments." slug: "deployment-errors" category: "testing" updatedAt: "2025-09-21T00:00:00.000Z" faqs:
- q: "Why does my MCP crash on Vercel?" a: "Most MCP servers need persistent processes. Use Edge Functions or background jobs, set proper memory limits, and ensure the handler returns responses quickly."
- q: "How do I debug a failing Docker container?"
a: "Check
docker logs
, run an interactive shell withdocker exec -it
, and verify environment variables and exposed ports." - q: "Can I share the same Docker image across staging and production?" a: "Yes, but parameterise configuration via environment variables and secrets so each environment remains isolated."
Fixing MCP Deployment Issues in Docker/Vercel
Overview
Containerising MCP servers or running them on Vercel’s serverless platform offers convenient deployment, but misconfiguration can produce cold-start failures, timeouts, or missing environment variables. This guide covers the most frequent issues and their fixes.
Docker Deployment Checklist
# Dockerfile
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --omit=dev
COPY . .
ENV PORT=8000
EXPOSE 8000
CMD ["node", "dist/server.js"]
- Ensure dependencies install (check network access, private registries).
- Expose the MCP port and map it when running:
docker run -p 8000:8000 mcp-server
. - Set env vars through
--env-file
or your orchestrator. - Health checks: add
/health
endpoint and configure Docker or Kubernetes readiness probes.
Vercel Deployment Checklist
- Only lightweight MCP handlers work well in Edge Functions. For long-running tasks, use Vercel cron jobs or background functions.
- Configure
vercel.json
:
{
"functions": {
"api/mcp.ts": {
"memory": 1024,
"maxDuration": 30
}
}
}
- Set environment variables for each environment (Preview, Production).
- Use
next.config.js
to mark MCP routes as dynamic:export const runtime = "edge";
when appropriate.
Debugging Techniques
Docker
# View logs
docker logs mcp-server
# Attach shell
docker exec -it mcp-server /bin/sh
# Inspect network
docker inspect mcp-server --format '{{json .NetworkSettings.Ports}}'
Vercel
- Inspect deployment logs in the Vercel dashboard.
- Run
vercel env pull .env.local
to keep local env vars in sync. - Use
vercel logs <deployment-url>
for realtime output.
Common Error Matrix
| Symptom | Docker Fix | Vercel Fix |
| --- | --- | --- |
| MODULE_NOT_FOUND
| Rebuild image after adding files to COPY
. | Verify vercel build
uses the correct entry point. |
| Timeout | Increase --timeout
or optimize queries. | Move heavy work to background job. |
| PORT
already in use | Change host port mapping or use --init
. | Let Vercel manage the port; remove hard-coded values. |
| Environment variable missing | Pass via docker run --env
. | Set in Vercel dashboard and redeploy. |
Logging & Monitoring
- Ship container logs to CloudWatch, Datadog, or Logflare.
- Enable OpenTelemetry (OTLP) exporters inside the MCP server for traces.
- Tag logs with deployment version and commit SHA for traceability.
Related Guides
- Running MCP Servers in Docker
- Serverless MCP Deployment on Vercel
- Deploying MCPs on AWS Lambda
- Fixing MCP Server Connection Refused
FAQ
Why does my MCP crash on Vercel?
Ensure the MCP handler finishes within the max duration and uses supported APIs. For long-running servers, deploy to a container or background worker instead.
How do I debug a failing Docker container?
Use docker logs
, inspect the container with docker exec
, and verify environment variables, network ports, and filesystem paths.
Can I share the same Docker image across staging and production?
Yes—tag the image once, then supply environment-specific configuration via secrets or environment variables.
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Last updated: September 21, 2025
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