predictoracle
PredictOracle - 12 forecasting tools: time-series, scenario analysis, risk projections.
Should I use this
Quality & Safety
Findings (5)
- LOWTool 'predict_entity' description lacks action verbin predict_entity
- LOWTool 'predict_article' description lacks action verbin predict_article
- LOWTool 'predict_score' description lacks action verbin predict_score
- LOWTool 'evidence_decay' description lacks action verbin evidence_decay
- LOWTool 'health_check' description lacks action verbin health_check
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"predictoracle": {
"url": "https://tooloracle.io/predict/mcp/"
}
}
}Remote endpoints
https://tooloracle.io/predict/mcp/streamable-httpWhat it can do
Tool inventory
Tools (12)
⚪predict_entity(entity_id, horizon_days)
Full predictive risk profile: score trajectory, degradation timeline, risk level.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
},
"horizon_days": {
"type": "integer",
"description": "Prediction horizon (default: 30)"
}
},
"additionalProperties": false
}⚪predict_article(entity_id, article, horizon_days)
Predict status of a specific DORA article in N days.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
},
"article": {
"type": "string",
"description": "e.g. Art. 28"
},
"horizon_days": {
"type": "integer"
}
},
"additionalProperties": false
}⚪predict_score(entity_id)
Score trajectory: current, 7d, 14d, 30d, 60d, 90d with trend.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪risk_forecast(entity_id)
Which articles will degrade first? Sorted by urgency.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪evidence_decay(entity_id)
Evidence expiry timeline: what expires when, status per evidence.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪deadline_risk(entity_id)
Upcoming deadlines with compliance probability %.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string",
"description": "Optional for entity-specific probability"
}
},
"additionalProperties": false
}⚪remediation_velocity(entity_id)
How fast are findings being resolved? Average close time, velocity rating.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪trend_analysis(entity_id)
Historical trend: audit events, score history.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪early_warning(entity_id)
Critical warnings: evidence expiry, score prediction, DORA deadline.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
}
},
"additionalProperties": false
}⚪scenario_forecast(entity_id, scenario, days)
What-if: no_testing, cloud_outage_30d, no_training, policy_expired, data_breach.
Input Schema
{
"type": "object",
"properties": {
"entity_id": {
"type": "string"
},
"scenario": {
"type": "string",
"description": "no_testing|cloud_outage_30d|no_training|policy_expired|data_breach"
},
"days": {
"type": "integer"
}
},
"additionalProperties": false
}🟢health_check
Server status.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}⚪ping
Connectivity test.
Input Schema
{
"type": "object",
"properties": {},
"additionalProperties": false
}Community
Evidence