MDEngine MCP
An MCP server provided by ForceField Silicon that enables AI agents to run molecular dynamics simulations using LAMMPS and OpenMM on hosted GPU infrastructure. It allows agents to submit simulation decks, monitor job status, view live logs, and retrieve results, with pricing based on computational work performed.
Endpoint and access
No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.
https://api.forcefieldsilicon.com/mcpWhat its tools do
14 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.
Can change data (6)
Checks and signals
Each line is separate evidence, not a trust score.
- Passed Endpoint answered the live check ·
- Passed Official MCP Registry namespace is tied to forcefieldsilicon.com ·
- Passed Endpoint is on the registry namespace domain ·
- Availability 1 of 1 checks passed in 30 days
What you can do with it
- Run LAMMPS molecular dynamics simulations on hosted GPUs
- Monitor simulation job status and view live logs
- Retrieve and visualize simulation results and trajectories
- Check pricing and submit decks via agent tools
Source and maintenance
- Maintenance checked
Protocol and capabilities
- Server
- com.forcefieldsilicon/mdengine 0.11.0
- MCP protocol negotiated in check
- 2025-11-25
- Tools
- 14 advertised
- Resources
- Not advertised
- Resource templates
- Not advertised
- Prompts
- Not advertised
{
"tools": {}
}Server-provided instructions
Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.
Tools
14 advertised
guide — Start here: guides by customer type
No key needed. Without customer_type: the list of guides (one line each), the start page and how to get a key. With customer_type (mineral-processing | dark-proteins | alloys): the full guide, which says what to supply, what runs, what comes back and what it costs. With template (openmm-stability): the script text of that template, ready to save and submit.
{
"type": "object",
"properties": {
"template": {
"type": "string",
"description": "openmm-stability (dark-proteins stage 1 OpenMM script); returns the script text"
},
"customer_type": {
"type": "string",
"description": "mineral-processing | dark-proteins | alloys; omit for the list"
}
}
}{
"title": "Start here: guides by customer type",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}campaign_request — Start a study: request a quoted campaign
No key needed. Sends a study request to a person and returns a request_id, the tier that fits, the price band, what we still need from you, the next step and the claim scope. Nothing is run or charged. Call it after reading a guide.
{
"type": "object",
"required": [
"customer_type",
"question",
"contact_email"
],
"properties": {
"grid": {
"type": "string",
"description": "Free text: compositions x temperatures, or ligands x pockets (e.g. 3 ligands x 1 receptor)"
},
"question": {
"type": "string",
"maxLength": 4000,
"minLength": 20,
"description": "One paragraph: the decision the study feeds"
},
"data_rules": {
"type": "string",
"description": "How the data and results may be used, kept or shared"
},
"organization": {
"type": "string",
"description": "Optional"
},
"contact_email": {
"type": "string",
"description": "Where the reply goes"
},
"customer_type": {
"enum": [
"mineral-processing",
"dark-proteins",
"alloys",
"semiconductor",
"other"
],
"type": "string",
"description": "mineral-processing | dark-proteins | alloys | semiconductor | other"
},
"inputs_available": {
"type": "array",
"items": {
"type": "string"
},
"description": "What you can supply now, e.g. bath range, AlphaFold model, ligand list, alloy composition range"
}
}
}{
"title": "Start a study: request a quoted campaign",
"readOnlyHint": false,
"openWorldHint": true,
"idempotentHint": false,
"destructiveHint": false
}account — Account balance and pricing
Balance in USD (`balance_usd`), the part of it held by your unfinished jobs (`reserved_usd`, `held_jobs`) and what a new submit can use (`available_usd` = balance - reserved; a submit needs wall_limit_s x rate of it), 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, the key id of the API key in use, and `packs` (when the endpoint sells credit): [{id, name, usd, gpu_h, url}] to top up THIS key by appending ?client_reference_id=<key_id> to the pack url.
{
"type": "object",
"properties": {}
}{
"title": "Account balance and pricing",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}submit_job — Submit a deck (inline files) and start it
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.
{
"type": "object",
"required": [
"input",
"files"
],
"properties": {
"gpu": {
"type": "string",
"description": "GPU class; call account for the offered classes and how jobs are priced. Default any = cheapest available"
},
"files": {
"type": "object",
"description": "Deck contents: {\"in.lmp\": \"...\", \"data.al\": \"...\"}; paths relative, no '..'; must include `input`",
"additionalProperties": {
"type": "string"
}
},
"input": {
"type": "string",
"description": "Relative path of the LAMMPS (or runner) input script inside the deck, e.g. in.lmp"
},
"label": {
"type": "string",
"description": "Free text <= 120 chars shown in job lists"
},
"launch": {
"type": "string",
"description": "Launch template; omit for the default KOKKOS/CUDA LAMMPS command line"
},
"runner": {
"type": "string",
"description": "Runner flavour: lammps (default) or openmm (beta)"
},
"end_marker": {
"type": "string",
"description": "Optional line your deck prints when it truly finished (e.g. a `print DONE` at the end); a done job whose log lacks a line starting with it gets verdict=warnings, end_marker_missing=true"
},
"estimate_s": {
"type": "integer",
"description": "Your runtime guess in seconds; informational only; the pre-check uses wall_limit_s net of credit held by your unfinished jobs"
},
"wall_limit_s": {
"type": "integer",
"description": "Hard cap in seconds (default 14400, max 86400); the job fails at the cap and is billed to it"
}
}
}{
"title": "Submit a deck (inline files) and start it",
"readOnlyHint": false,
"openWorldHint": true,
"idempotentHint": false,
"destructiveHint": false
}create_job — Create a job (returns upload URL)
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.
{
"type": "object",
"required": [
"input"
],
"properties": {
"gpu": {
"type": "string",
"description": "GPU class; call account for the offered classes and how jobs are priced. Default any = cheapest available"
},
"input": {
"type": "string",
"description": "Relative path of the LAMMPS (or runner) input script inside the deck, e.g. in.lmp"
},
"label": {
"type": "string",
"description": "Free text <= 120 chars shown in job lists"
},
"launch": {
"type": "string",
"description": "Launch template; omit for the default KOKKOS/CUDA LAMMPS command line"
},
"runner": {
"type": "string",
"description": "Runner flavour: lammps (default) or openmm (beta)"
},
"end_marker": {
"type": "string",
"description": "Optional line your deck prints when it truly finished (e.g. a `print DONE` at the end); a done job whose log lacks a line starting with it gets verdict=warnings, end_marker_missing=true"
},
"estimate_s": {
"type": "integer",
"description": "Your runtime guess in seconds; informational only; the pre-check uses wall_limit_s net of credit held by your unfinished jobs"
},
"wall_limit_s": {
"type": "integer",
"description": "Hard cap in seconds (default 14400, max 86400); the job fails at the cap and is billed to it"
}
}
}{
"title": "Create a job (returns upload URL)",
"readOnlyHint": false,
"openWorldHint": true,
"idempotentHint": false,
"destructiveHint": false
}start_job — Start an uploaded job
Step 2: queue a job whose deck tarball has been uploaded. A GPU pod is launched; billing starts when it reports running.
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Job id, e.g. MDJOB-20260907-3F200C"
}
}
}{
"title": "Start an uploaded job",
"readOnlyHint": false,
"openWorldHint": true,
"idempotentHint": false,
"destructiveHint": false
}job_status — 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, and the post-run verdict: clean | warnings (a done run whose log shows QEq CG failures, lost atoms, a fix halt, or no end_marker line; counts in `warnings`).
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Job id, e.g. MDJOB-20260907-3F200C"
}
}
}{
"title": "Job status",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}job_log — Job log tail
The last <= 20 thermo/log lines the running pod reported (30 s heartbeat). Full log.lammps is in the results tarball.
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Job id, e.g. MDJOB-20260907-3F200C"
}
}
}{
"title": "Job log tail",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}job_results — Results download URL
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.
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Job id, e.g. MDJOB-20260907-3F200C"
}
}
}{
"title": "Results download URL",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}list_jobs — List jobs
Jobs of this API key, newest first. Compact rows (id, state, label, created, finished, gpu, cost_usd, error) unless full=true.
{
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "Return the complete status object per job (default false)"
},
"limit": {
"type": "integer",
"description": "1..200, default 20"
}
}
}{
"title": "List jobs",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}delete_results — Delete a job's files now
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.
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Job id, e.g. MDJOB-20260907-3F200C"
}
}
}{
"title": "Delete a job's files now",
"readOnlyHint": false,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": true
}capabilities — What the runner can do
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.
{
"type": "object",
"properties": {
"full": {
"type": "boolean",
"description": "Include the full style table (large)"
},
"runner": {
"type": "string",
"description": "lammps | openmm; omit for all"
}
}
}{
"title": "What the runner can do",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}preflight_deck — Check a deck before spending
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.
{
"type": "object",
"required": [
"input",
"files"
],
"properties": {
"files": {
"type": "object",
"description": "Deck contents {path: text}, must include `input`",
"additionalProperties": {
"type": "string"
}
},
"input": {
"type": "string",
"description": "Relative path of the LAMMPS (or runner) input script inside the deck, e.g. in.lmp"
}
}
}{
"title": "Check a deck before spending",
"readOnlyHint": true,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": false
}cancel_job — Cancel job
Cancel a job that is not finished. A running job is billed up to the cancel time; its pod is terminated.
{
"type": "object",
"required": [
"id"
],
"properties": {
"id": {
"type": "string",
"description": "Job id, e.g. MDJOB-20260907-3F200C"
}
}
}{
"title": "Cancel job",
"readOnlyHint": false,
"openWorldHint": true,
"idempotentHint": true,
"destructiveHint": true
}Prompts
Not advertised
Resources
Not advertised
90-day uptime
A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.
- 2026-11-07: 1 of 1 checks answered
30-day availability
Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.
- Successful checks
- 1 of 1 (100%)
- Average latency
- 571 ms
- 95th percentile latency
- 571 ms
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · probe · passed · 571 ms · metadata changed · 14 tool(s)
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http mdengine-mcp https://api.forcefieldsilicon.com/mcpCodex
codex mcp add mdengine-mcp --url https://api.forcefieldsilicon.com/mcpCursor
{
"mcpServers": {
"mdengine-mcp": {
"url": "https://api.forcefieldsilicon.com/mcp"
}
}
}Cline
{
"mcpServers": {
"mdengine-mcp": {
"type": "streamableHttp",
"url": "https://api.forcefieldsilicon.com/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"mdengine-mcp": {
"type": "http",
"url": "https://api.forcefieldsilicon.com/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http mdengine-mcp https://api.forcefieldsilicon.com/mcpClaude Desktop
https://api.forcefieldsilicon.com/mcpWindsurf
{
"mcpServers": {
"mdengine-mcp": {
"serverUrl": "https://api.forcefieldsilicon.com/mcp"
}
}
}Let your agent find its tools
Find servers like MDEngine MCP from your agent. Add Koskamo once to search the index for endpoints, access requirements, and client setup. Public discovery needs no key.
Other ai and machine learning servers
Do you run MDEngine MCP?
Prove ownership with a DNS record, a well-known file, or your Official MCP Registry entry, and your edits publish immediately. Proofs are re-checked weekly; admins can still hide or remove a listing.