MCP Variance Log

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Schema

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Tools

Functions exposed to the LLM to take actions

NameDescription
log-query
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

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