MCP Variance Log
by truaxki
Server Configuration
Describes the environment variables required to run the server.
Name | Required | Description | Default |
---|---|---|---|
No arguments |
Schema
Prompts
Interactive templates invoked by user choice
Name | Description |
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No prompts |
Resources
Contextual data attached and managed by the client
Name | Description |
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No resources |
Tools
Functions exposed to the LLM to take actions
Name | Description |
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log-query | Copy Conversation Variation analysis
Continuously monitor our conversation and automatically log unusual or noteworthy interactions based on the following criteria:
1. Probability Classifications:
HIGH (Not Logged):
- Common questions and responses
- Standard technical inquiries
- Regular clarifications
- Normal conversation flow
MEDIUM (Logged):
- Unexpected but plausible technical issues
- Unusual patterns in user behavior
- Noteworthy insights or connections
- Edge cases in normal usage
- Uncommon but valid use cases
LOW (Logged with Priority):
- Highly unusual technical phenomena
- Potentially problematic patterns
- Critical edge cases
- Unexpected system behaviors
- Novel or unique use cases
|
read-logs | Retrieve logged conversation variations from the database. |
read_query | Execute a SELECT query on the SQLite database Copy Schema Reference:
Table: chat_monitoring
Fields:
- log_id (INTEGER PRIMARY KEY)
- timestamp (DATETIME)
- session_id (TEXT)
- user_id (TEXT)
- interaction_type (TEXT)
- probability_class (TEXT: HIGH, MEDIUM, LOW)
- message_content (TEXT)
- response_content (TEXT)
- context_summary (TEXT)
- reasoning (TEXT)
Example:
SELECT timestamp, probability_class, context_summary
FROM chat_monitoring
WHERE probability_class = 'LOW'
LIMIT 5;
|
write_query | Execute an INSERT, UPDATE, or DELETE query |
create_table | Create a new table in the SQLite database |
list_tables | List all tables in the database |
describe_table | Show structure of a specific table |
append_insight | Add a business insight to the memo |