predictoracle
Server Details
PredictOracle - 12 forecasting tools: time-series, scenario analysis, risk projections.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
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Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 2.5/5 across 12 of 12 tools scored. Lowest: 1.6/5.
Tools like deadline_risk, early_warning, and evidence_decay have overlapping concerns about deadlines and warnings, though descriptions provide some distinction. Similarly, predict_article, predict_entity, and predict_score all cover predictions but differ in scope. Some ambiguity remains.
All names use snake_case, but the naming pattern mixes verb phrases (predict_article, trend_analysis) with noun phrases (deadline_risk, health_check), lacking a consistent verb_noun or noun_verb structure. This inconsistency can confuse an agent.
12 tools is well within the optimal 3-15 range for a specialized predictive analytics server. Each tool appears to serve a distinct function without unnecessary bloat or deficiency.
The tool set covers core predictive needs: deadlines, warnings, decay, scores, scenarios, trends, and remediation velocity. Missing are raw data access or configuration tools, but for a read-only prediction server, the surface is reasonably complete.
Available Tools
12 toolsdeadline_riskInspect
Upcoming deadlines with compliance probability %.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No | Optional for entity-specific probability |
early_warningInspect
Critical warnings: evidence expiry, score prediction, DORA deadline.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
evidence_decayInspect
Evidence expiry timeline: what expires when, status per evidence.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
health_checkInspect
Server status.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
pingInspect
Connectivity test.
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
predict_articleInspect
Predict status of a specific DORA article in N days.
| Name | Required | Description | Default |
|---|---|---|---|
| article | No | e.g. Art. 28 | |
| entity_id | No | ||
| horizon_days | No |
predict_entityInspect
Full predictive risk profile: score trajectory, degradation timeline, risk level.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No | ||
| horizon_days | No | Prediction horizon (default: 30) |
predict_scoreInspect
Score trajectory: current, 7d, 14d, 30d, 60d, 90d with trend.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
remediation_velocityInspect
How fast are findings being resolved? Average close time, velocity rating.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
risk_forecastInspect
Which articles will degrade first? Sorted by urgency.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
scenario_forecastInspect
What-if: no_testing, cloud_outage_30d, no_training, policy_expired, data_breach.
| Name | Required | Description | Default |
|---|---|---|---|
| days | No | ||
| scenario | No | no_testing|cloud_outage_30d|no_training|policy_expired|data_breach | |
| entity_id | No |
trend_analysisInspect
Historical trend: audit events, score history.
| Name | Required | Description | Default |
|---|---|---|---|
| entity_id | No |
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
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For server owners:
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Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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