Search / io.github.jgaethle10/career-command
Career Command
not classifiedAI interview practice and career preparation with user-controlled guidance.
v1.0.2 · active · website · descriptor JSON · versions
Search / io.github.jgaethle10/career-command
AI interview practice and career preparation with user-controlled guidance.
v1.0.2 · active · website · descriptor JSON · versions
{
"mcpServers": {
"career-command": {
"type": "http",
"url": "https://evercraft-career-command.base44.app/functions/careerMcp"
}
}
}claude mcp add --transport http career-command https://evercraft-career-command.base44.app/functions/careerMcp[mcp_servers.career-command]
url = "https://evercraft-career-command.base44.app/functions/careerMcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"career-command": {
"type": "remote",
"url": "https://evercraft-career-command.base44.app/functions/careerMcp",
"enabled": true
}
}
}{
"mcpServers": {
"career-command": {
"type": "http",
"url": "https://evercraft-career-command.base44.app/functions/careerMcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=career-command&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZXZlcmNyYWZ0LWNhcmVlci1jb21tYW5kLmJhc2U0NC5hcHAvZnVuY3Rpb25zL2NhcmVlck1jcCJ9"
}{
"servers": {
"career-command": {
"type": "http",
"url": "https://evercraft-career-command.base44.app/functions/careerMcp"
}
}
}{
"mcpServers": {
"career-command": {
"httpUrl": "https://evercraft-career-command.base44.app/functions/careerMcp"
}
}
}extensions:
"career-command":
enabled: true
name: "career-command"
type: streamable_http
uri: "https://evercraft-career-command.base44.app/functions/careerMcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltools/list declares ttlMs 0, so clients re-fetch it on every useauth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations5 of 5 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 717 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo 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.
+website -unreachable(3 failures) +updated-26d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://evercraft-career-command.base44.app/functions/careerMcp streamable-http | none | no (3 failures) | 97% | 529 ms | 2026-07-28 | 2026-10-17 |
get_career_command_capabilitiesread-only | Read Career Command machine-commerce boundaries and supported premium practice actions. |
get_interview_sprint_offerread-only | Read the current Evercraft Interview Sprint terms. Read-only. Creates no checkout or payment obligation. |
get_interview_sprint_statusread-only | Verify the Evercraft Payments checkout and, only after provider-confirmed payment, return the bounded 7-day Career Sprint access token and remaining premium actions. |
prepare_interview_sprint_checkout | Only after the human explicitly agrees to pay $19 for the 7-day Interview Sprint, prepare a secure Evercraft Payments checkout. Checkout creation is not payment proof. |
run_interview_sprint_action | Consume one verified premium action for pre-interview preparation. Supports role-specific question generation, practice-answer evaluation, story recovery, and interview planning. Not for covert live-interview answer feeding. |
Schemas: list_tools.
And 9 more from this publisher.
{
"name": "io.github.jgaethle10/career-command",
"title": "Career Command",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://evercraft-career-command.base44.app/functions/careerMcp",
"type": "streamable-http"
}
],
"version": "1.0.2",
"websiteUrl": "https://evercraft-career-command.base44.app/",
"description": "AI interview practice and career preparation with user-controlled guidance."
}