front-asset-intel-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_asset_summaryA | Return the precomputed rubric-style JSON summary for an asset. For tables and analyst-agent routing, prefer agent_display.score_display, agent_display.decision_label, underwriting_status, execution_automation_status, primary_blockers, and next_action over the legacy rubric.score/decision_class fields. The payload also includes per-rubric dimension score, score band, status, evidence state, and evidence pointers. |
| get_asset_researchA | Return the full precomputed Markdown research report for an asset. For simple-token assets, the MCP response prepends the validated simple_token_return_estimate from summary JSON so research callers get organic ROI, estimated points ROI, expected-loss bands, and risk-adjusted ROI without a second tool call. Use this when the rubric answer needs source context or audit detail. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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