MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client
Nothing to run from here
EasyDeploy AI is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
30
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Train AutoML models on CSV files and run predictions from Claude and other MCP clients.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http easydeploy-ai-mcp https://mcp.easydeploy.ai/mcp
# 2 — ask your agent for something these tools do
# get_started, get_account_status, list_projects and 27 more
EasyDeploy AI costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
EAAll 1 server
easydeploy1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Its publisher asks you to sign in with OAuth: run /mcp in Claude Code and pick this server, and it opens a browser for that once.
claude mcp add --scope user --transport http easydeploy-ai-mcp https://mcp.easydeploy.ai/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add — the only sign-in is its publisher’s own, with OAuth.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
30 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Read from its source code. A server that builds its tool list when it starts can list more tools than this.
Return the EasyDeploy data-science playbook: how to prepare leakage-free training data, keep an honest test split, upload the files, train, validate on the holdout and predict with the model. Useful at the start of a modeling task.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| section | no | — |
Get current account status: tier, training credits, prediction usage, endpoint limits.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| customer_id | string | no | — |
List all projects for this API key (id, name, description, timestamps).
Takes no parameters.
Fetch a single project by id.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
Create or update a project (create-or-update: not idempotent).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | yes | — |
| description | string | no | — |
| project_id | string | no | — |
List datasets in a project (id, name, type, timestamps).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
Fetch one dataset by id (name, description, type, timestamps). Read-only.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| dataset_id | string | yes | — |
Rename a dataset or change its description.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| dataset_id | string | yes | — |
| name | string | no | — |
| description | string | no | — |
Open an upload session for one file and return the ways to send its bytes.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| filename | string | yes | — |
| project_id | string | yes | — |
| dataset_id | string | no | — |
| file | no | — |
Hand EasyDeploy a URL to fetch an upload session's bytes from, server-side.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| upload_request_id | string | yes | — |
| source_url | string | yes | — |
Poll an upload session by the `upload_request_id from start_upload`.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| upload_request_id | string | yes | — |
Register a validated upload as a dataset (the last step of every channel).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| name | string | yes | — |
| upload_request_id | string | yes | — |
| description | string | no | — |
| dataset_type | no | — | |
| dataset_id | string | no | — |
List all versions of a dataset (version number, version_type, qa_status, row counts).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| dataset_id | string | yes | — |
| project_id | string | no | — |
Fetch one dataset version by id (row and column counts, `columnNames` list, qa_status, version_type).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| dataset_id | string | yes | — |
| version_id | string | yes | — |
Create or update a dataset version.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| dataset_id | string | yes | — |
| version_type | no | — | |
| file_url | string | no | — |
| qa_metadata | object | no | — |
| version_id | string | no | — |
| qa_status | no | — |
Create or update a model (create-or-update: not idempotent).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| name | string | yes | — |
| description | string | no | — |
| model_id | string | no | — |
Fetch a single model by id (name, description, version count, and `aliases: each alias with the modelVersionId` it points to).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| model_id | string | yes | — |
Create a model version tied to a dataset version and target column.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| model_id | string | yes | — |
| dataset_version_id | string | yes | — |
| target_feature | string | yes | — |
| time_series_mode | boolean | no | — |
| time_column | string | no | — |
List all models in a project (id, name).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
List model versions.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| model_id | string | yes | — |
List a model's aliases: named pointers such as `staging or production, each resolving to exactly one version of the model. Each entry has alias, modelVersionId and its version number, the version it pointed to before (previousModelVersionId`, null for a new alias),…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| model_id | string | yes | — |
Fetch a single model version by id (status, edaReportStatus, target, `aliases` pointing to it, timestamps).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| model_id | string | yes | — |
| version_id | string | yes | — |
Load the EDA training report (metrics, feature analysis, performance summary).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model_id | string | yes | — |
| project_id | string | no | — |
| model_version_id | string | no | — |
| full_report | boolean | no | — |
Point a model alias, such as `staging or production, at one of the model's versions: creates the alias, or moves it. Callers that predict with model_id + alias` score with the new version from then on, without changing their calls. Pointing an alias at the version it already has…
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | yes | — |
| model_id | string | yes | — |
| alias | string | yes | — |
| model_version_id | string | yes | — |
| confirm | boolean | no | Write the alias even though the check found warnings. Set it only after the user has seen the warnings and agreed. |
| expected_current_model_version_id | string | no | The current_model_version_id returned by the needs_confirmation result, or the literal 'none' for a new alias. With confirm=true, the alias is written only if it still points there; otherwise the tool |
Submit a training job for a model version.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model_version_id | string | yes | — |
| dataset_version_id | string | no | — |
Check a training job by job_id (the `jobId field from submit_training_job`).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| job_id | string | yes | — |
| wait | boolean | no | — |
| timeout_seconds | integer | no | With wait=true, how long to block, in seconds (default 45, at most 60; larger values are clamped). Hosts end long tool calls at different times, some at 60 s, so the default returns well before that; |
| poll_interval_seconds | number | no | — |
Run a single ad-hoc prediction against a trained model version.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model_version_id | string | no | — |
| input_data | object | yes | — |
| model_id | string | no | — |
| alias | string | no | — |
| project_id | string | no | — |
| target_feature | string | no | — |
| wait_for_result | boolean | no | — |
| max_wait_seconds | integer | no | With wait_for_result=true, how long to wait, in seconds (default 45, at most 60; larger values are clamped). Hosts end long tool calls at different times, some at 60 s, so the default returns well bef |
| poll_interval_seconds | number | no | Seconds between status checks while waiting (default 2.0). Values below 2 are raised to 2. |
Score an entire dataset against a trained model version.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| model_version_id | string | no | — |
| dataset_version_id | string | yes | — |
| model_id | string | no | — |
| alias | string | no | — |
| project_id | string | no | — |
| target_feature | string | no | — |
| wait_for_result | boolean | no | — |
| max_wait_seconds | integer | no | With wait_for_result=true, how long to wait, in seconds (default 45, at most 60; larger values are clamped). Hosts end long tool calls at different times, some at 60 s, so the default returns well bef |
| poll_interval_seconds | number | no | Seconds between status checks while waiting (default 5.0). Values below 2 are raised to 2. |
Fetch prediction status and result by prediction id.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| prediction_id | string | yes | — |
List predictions (newest first). Optionally filter by project_id.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| project_id | string | no | — |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install EasyDeploy AI or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.5.0.
0.5.0
undated
latestNo release note was published with this version.
—
no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish EasyDeploy AI can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.