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MDEngine MCP Server

by forcefieldsilicon Your server? Claim it
answering

MDEngine is answering right now. Last checked 13 min ago. It exposes 12 tools. Last commit 11 Sep 2026.

MD workbench for agents: 13 analysis tools, renders, hosted GPU runs; LAMMPS + OpenMM.

Uptime history 16 days of history
16 days agonow
100.0%
Uptime 24h
91 of 91 checks
12
Tools
read from the server
83 ms
Response time
average over 24h
0
Stars
last commit 11 Sep 2026

What changed 5

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 8 September 2026. No other catalogue keeps this.

11 Sep 2 tools changed the parameters they ask for create_job, submit_job
11 Sep a tool description was rewritten account
8 Sep a tool changed version2 times that day
and 1 more, back to 8 September 2026

What the code does

We read the source, 20 h ago · tools taken from the live server · rules 3dff92dd89df

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Builds a database query by concatenation docker/runner-gpu/build-on-pod.sh:11
apt-get update -qq && apt-get install -y -qq --no-install-recommends git cmake g++ make python3 rsync > /dev/null
USER root

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

run in your terminal
claude mcp add mdengine --transport http https://api.forcefieldsilicon.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "mdengine": {
      "url": "https://api.forcefieldsilicon.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.mdengine]
url = "https://api.forcefieldsilicon.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "mdengine": {
      "url": "https://api.forcefieldsilicon.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "mdengine": {
      "url": "https://api.forcefieldsilicon.com/mcp"
    }
  }
}

Available tools 12

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

job
create_job
Step 1 of the two-step path for big decks: validates the spec, reserves a job id, returns a presigned upload_url. PUT the deck as a .tar.gz (<= 2 GB, relative paths, input at `input`) to upload_url, then call start_job.
job_log
The last <= 20 thermo/log lines the running pod reported (30 s heartbeat). Full log.lammps is in the results tarball.
job_results
For a done/failed job: a presigned download_url (valid ~7 days) for the results tarball (work/, log.lammps, exitcode). Results are deleted 30 days after the run.
job_status
State (created|uploaded|queued|launching|running|uploading|done|failed|cancelled), GPU, rate, billed seconds, cost so far, exit code, error, last thermo lines.
account
account
Balance in USD, how jobs are priced (`pricing.mode` job = the deck's own work in atom-steps at per-class prices, capped at wall_limit_s x rate; metered = per second of pod time), the rate table, and the key id of the API key in use.
cancel
cancel_job
Cancel a job that is not finished. A running job is billed up to the cancel time; its pod is terminated.
capabilities
capabilities
Capability manifest of the hosted runners: LAMMPS version, installed packages, and every style by category with gpu=true (KOKKOS-accelerated) or gpu=false (exists, but runs on the pod's CPU cores at the GPU rate). Default = compact summary; runner=lammps&full=true returns the whole style table. Use preflight_deck to check a specific deck.
jobs
list_jobs
Jobs of this API key, newest first. Compact rows (id, state, label, created, finished, gpu, cost_usd, error) unless full=true.
preflight
preflight_deck
Dry run of the check submit_job performs: which styles the deck asks for are MISSING on every hosted LAMMPS image (the run would exit at startup), which are CPU-only, whether its pair style will use the GPU at all, and which image (`runner`) the job will be routed to — decks needing packages beyond the fast default image run on lammps-full automatically. Nothing is created or billed.
results
delete_results
For a finished job: delete its deck and results tarballs immediately instead of at the automatic 30-day purge. Metadata and billing records are kept; results can no longer be downloaded.
start
start_job
Step 2: queue a job whose deck tarball has been uploaded. A GPU pod is launched; billing starts when it reports running.
submit
submit_job
One call: create a hosted GPU job, upload the deck given INLINE as {relative_path: text}, and queue it. Total inline size <= 8 MB; for larger decks use create_job, PUT the tarball to upload_url, then start_job. Billing starts at the first heartbeat (state running) and stops at done/failed/cancelled. The deck is executed as a program on an isolated GPU pod.

Endpoints

URLTransportStateLatencyChecked
https://api.forcefieldsilicon.com/mcp streamable-http answering 163 ms 13 min ago

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MDEngine — questions

Answers built from our own checks of this server.

What can MDEngine do?
It exposes 12 tools, read directly from the server on our last check. Among them: account, cancel_job, capabilities, create_job, delete_results, job_log and 6 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is MDEngine working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 83 ms. The bar chart above shows every period we have measured.
How do I connect MDEngine?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does MDEngine need an API key?
No. MDEngine completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 12 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is MDEngine?
It answers our handshake in 83 ms on average, which is faster than 96% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is MDEngine open source?
We cannot say either way: written in Swift and 0 stars on GitHub, but we could not determine the licence, and without one the code is not open source by default.