tif-score-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| TIF_MODEL | No | The Claude model to use for scoring and diagnosis | claude-sonnet-4-6 |
| ANTHROPIC_API_KEY | Yes | Your Anthropic API key used for making Claude API calls |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| score_conversationA | Analyze a call transcript and extract structured business intelligence: intent, sentiment, urgency, objections, outcome, topics, missed-opportunity/follow-up flags, revenue signal, churn risk, and a plain-English summary. |
| get_lead_scoreA | Score a call transcript 0-100 and classify it hot/warm/cold. Internally runs the same analysis as score_conversation, then applies a point-based weighting to the resulting signals. |
| diagnose_workflow_errorA | Stateless diagnosis of an n8n workflow error: given the workflow JSON and error message, returns a root cause, a minimal proposed fix (or an honest 'not fixable by a workflow edit'), and a confidence level. Does not verify, deploy, or fetch anything live — pair with human or separate review before applying fixedWorkflow. |
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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