Search / io.github.OpenTrain-AI/opentrain
OpenTrain
L0· runs locallyHire human data labelers, RLHF annotators, and evaluators from your coding agent.
v0.2.2 · active · repository · website · descriptor JSON · versions
Search / io.github.OpenTrain-AI/opentrain
L0· runs locallyHire human data labelers, RLHF annotators, and evaluators from your coding agent.
v0.2.2 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"opentrain": {
"command": "npx",
"args": [
"-y",
"@opentrain-ai/[email protected]"
],
"env": {
"OPENTRAIN_PERSONAL_API_TOKEN": "${OPENTRAIN_PERSONAL_API_TOKEN}",
"OPENTRAIN_API_BASE_URL": "https://app.opentrain.ai"
}
}
}
}claude mcp add opentrain -e "OPENTRAIN_PERSONAL_API_TOKEN=${OPENTRAIN_PERSONAL_API_TOKEN}" -e "OPENTRAIN_API_BASE_URL=https://app.opentrain.ai" -- npx -y @opentrain-ai/[email protected][mcp_servers.opentrain]
command = "npx"
args = ["-y", "@opentrain-ai/[email protected]"]
env = { "OPENTRAIN_PERSONAL_API_TOKEN" = "${OPENTRAIN_PERSONAL_API_TOKEN}", "OPENTRAIN_API_BASE_URL" = "https://app.opentrain.ai" }
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"opentrain": {
"type": "local",
"command": [
"npx",
"-y",
"@opentrain-ai/[email protected]"
],
"enabled": true,
"environment": {
"OPENTRAIN_PERSONAL_API_TOKEN": "{env:OPENTRAIN_PERSONAL_API_TOKEN}",
"OPENTRAIN_API_BASE_URL": "https://app.opentrain.ai"
}
}
}
}{
"mcpServers": {
"opentrain": {
"command": "npx",
"args": [
"-y",
"@opentrain-ai/[email protected]"
],
"env": {
"OPENTRAIN_PERSONAL_API_TOKEN": "${OPENTRAIN_PERSONAL_API_TOKEN}",
"OPENTRAIN_API_BASE_URL": "https://app.opentrain.ai"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=opentrain&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBvcGVudHJhaW4tYWkvbWNwQDAuMi4yIl0sImVudiI6eyJPUEVOVFJBSU5fUEVSU09OQUxfQVBJX1RPS0VOIjoiJHtPUEVOVFJBSU5fUEVSU09OQUxfQVBJX1RPS0VOfSIsIk9QRU5UUkFJTl9BUElfQkFTRV9VUkwiOiJodHRwczovL2FwcC5vcGVudHJhaW4uYWkifX0%3D"
}{
"servers": {
"opentrain": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@opentrain-ai/[email protected]"
],
"env": {
"OPENTRAIN_PERSONAL_API_TOKEN": "${OPENTRAIN_PERSONAL_API_TOKEN}",
"OPENTRAIN_API_BASE_URL": "https://app.opentrain.ai"
}
}
}
}{
"mcpServers": {
"opentrain": {
"command": "npx",
"args": [
"-y",
"@opentrain-ai/[email protected]"
],
"env": {
"OPENTRAIN_PERSONAL_API_TOKEN": "${OPENTRAIN_PERSONAL_API_TOKEN}",
"OPENTRAIN_API_BASE_URL": "https://app.opentrain.ai"
}
}
}
}extensions:
"opentrain":
enabled: true
name: "opentrain"
type: stdio
cmd: "npx"
args:
- "-y"
- "@opentrain-ai/[email protected]"
envs:
"OPENTRAIN_PERSONAL_API_TOKEN": "${OPENTRAIN_PERSONAL_API_TOKEN}"
"OPENTRAIN_API_BASE_URL": "https://app.opentrain.ai"
timeout: 300
Placeholders to fill from your own secret store: ${OPENTRAIN_PERSONAL_API_TOKEN}. The registry never accepts secret values.
This is a local package: the command runs on your machine.
Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulnsno known advisory in 98 resolved packagesdeps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 1 known advisory (GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.31.0 or laterdeps.resolvable@opentrain-ai/[email protected] resolved: 98 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +namespace-matches-repo +website ~liveness-unmeasured ~updated-126d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
@opentrain-ai/[email protected] npm97 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-19
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
@opentrain-ai/mcp | npm | 0.2.2 | npx | OPENTRAIN_PERSONAL_API_TOKEN |
No tools observed. Local packages are never executed by the registry.
Schemas: list_tools.
{
"name": "io.github.OpenTrain-AI/opentrain",
"title": "OpenTrain",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "0.2.2",
"packages": [
{
"version": "0.2.2",
"transport": {
"type": "stdio"
},
"identifier": "@opentrain-ai/mcp",
"runtimeHint": "npx",
"registryType": "npm",
"registryBaseUrl": "https://registry.npmjs.org",
"environmentVariables": [
{
"name": "OPENTRAIN_PERSONAL_API_TOKEN",
"isSecret": true,
"description": "OpenTrain personal API token (ot_pat_...). Optional: if absent, the server can register an anonymous agent account at runtime for a human to claim."
},
{
"name": "OPENTRAIN_API_BASE_URL",
"default": "https://app.opentrain.ai",
"description": "OpenTrain API base URL. Defaults to https://app.opentrain.ai."
}
]
}
],
"repository": {
"url": "https://github.com/OpenTrain-AI/OpenTrain-Platform-Monorepo",
"source": "github",
"subfolder": "packages/opentrain-mcp"
},
"websiteUrl": "https://www.opentrain.ai/docs/developers/overview",
"description": "Hire human data labelers, RLHF annotators, and evaluators from your coding agent."
}