MCP Variance Log
# MCP Variance Log
Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.
<a href="https://glama.ai/mcp/servers/acqq8twrk6"><img width="380" height="200" src="https://glama.ai/mcp/servers/acqq8twrk6/badge" alt="Variance Log MCP server" /></a>
## Requirements
- Python ≥3.10
- MCP ≥1.2.0
- SQLite3
- UV (Python package installer and environment manager)
## Quick Start
```bash
# Clone and install
git clone https://github.com/truaxki/mcp-variance-log.git
cd mcp-variance-log
uv pip install -e .
```
Add to Claude Desktop config (`%APPDATA%\Claude\claude_desktop_config.json` on Windows):
```json
{
"mcpServers": {
"mcp-variance-log": {
"command": "uv",
"args": [
"--directory",
"C:\\Users\\username\\source\\repos\\mcp-variance-log", # Update this path
"run",
"mcp-variance-log"
]
}
}
}
```
Add to Claude Desktop preferences:
```
Automatic Logging Process:
- Silently monitor each interaction
- When MEDIUM or LOW probability events occur, use this tool to log them
- Each log includes context and reasoning
- Logging happens without disrupting conversation flow
```
## Usage
### Automatic Logging Examples
```
prompt: "What if I told you I could lift 1000 lbs?"
{
`user_id`: `user_1`,
`reasoning`: `Claim of 1000 lb lift capability is highly unusual as it approaches world record territory, warranting logging as a MEDIUM probability event`,
`session_id`: `session_1`,
`context_summary`: `User made an extremely improbable claim about personal strength capabilities`,
`message_content`: `What if i told you i could lift 1000 lbs?`,
`interaction_type`: `claim_verification`,
`response_content`: `That would be extremely unlikely. The current world record for weight lifted by a human (deadlift) is 1,104.5 lbs, set by Hafthor Björnsson in 2020 under very specific conditions. Only a handful of people in history have lifted close to 1,000 lbs.`,
`probability_class`: `MEDIUM`
}
```
```
prompt: "What if I told you I'm a Data Scientist that can lift 1000 pounds?"
{
`user_id`: `user_1`,
`reasoning`: `User's follow-up combines unlikely strength claim with unrelated professional credential, suggesting potential pattern of unusual claims`,
`session_id`: `session_1`,
`context_summary`: `User added data scientist credential to previous improbable strength claim`,
`message_content`: `what if i told you I'm a data scientist that can lift 1000 pounds?`,
`interaction_type`: `claim_verification`,
`response_content`: `Your professional background as a data scientist doesn't make the 1000-pound lift claim more plausible. Such a lift would still be near the all-time world record of 1,104.5 lbs.`,
`probability_class`: `LOW`
}
```
### Dataframe view
```
prompt: "Read-logs from this morning"
ID | Time | Prob | Type | Context
------------------------------------------------------------------------------------------
29 | 01-24 17:57 | LOW | claim_ | User added data scientist credential to pr...
28 | 01-24 17:56 | MEDIUM | claim_ | User made an extremely improbable claim ab...
```
### Text 2 SQL
```
prompt: "Can you search the logs for entry 29?"
[{'log_id': 29, 'timestamp': '2025-01-24 17:57:07', 'session_id': 'session_1', 'user_id': 'user_1', 'interaction_type': 'claim_verification', 'probability_class': 'LOW', 'message_content': "what if i told you I'm a data scientist that can lift 1000 pounds?", 'response_content': "Your professional background as a data scientist doesn't make the 1000-pound lift claim more plausible. Such a lift would still be near the all-time world record of 1,104.5 lbs.", 'context_summary': 'User added data scientist credential to previous improbable strength claim', 'reasoning': "User's follow-up combines unlikely strength claim with unrelated professional credential, suggesting potential pattern of unusual claims"}]
```
## Detailed Installation
1. Ensure Python 3.10+ and UV are installed.
Install UV using one of these methods:
```bash
# Using pip (recommended for Windows)
pip install uv
# Using installation script (Linux/MacOS)
curl -LsSf https://astral.sh/uv/install.sh | sh
```
2. Clone and install:
```bash
git clone https://github.com/truaxki/mcp-variance-log.git
cd mcp-variance-log
uv pip install -e .
```
3. Configure Claude Desktop:
Add to `claude_desktop_config.json`:
```json
{
"mcpServers": {
"mcp-variance-log": {
"command": "uv",
"args": [
"--directory",
"PATH_TO_REPO/mcp-variance-log",
"run",
"mcp-variance-log"
]
}
}
}
```
Config locations:
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`
- MacOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Linux: `~/.config/Claude/claude_desktop_config.json`
## Tools
### Monitoring
- `log-query`: Tracks conversation patterns
- HIGH: Common interactions (not logged)
- MEDIUM: Unusual patterns (logged)
- LOW: Critical events (priority logged)
### Query
- `read-logs`: View logs with filtering
- `read_query`: Execute SELECT queries
- `write_query`: Execute INSERT/UPDATE/DELETE
- `create_table`: Create tables
- `list_tables`: Show all tables
- `describe_table`: Show table structure
Located at `data/varlog.db` relative to installation.
### Schema
```sql
CREATE TABLE chat_monitoring (
log_id INTEGER PRIMARY KEY AUTOINCREMENT,
timestamp DATETIME DEFAULT CURRENT_TIMESTAMP,
session_id TEXT NOT NULL,
user_id TEXT NOT NULL,
interaction_type TEXT NOT NULL,
probability_class TEXT CHECK(probability_class IN ('HIGH', 'MEDIUM', 'LOW')),
message_content TEXT NOT NULL,
response_content TEXT NOT NULL,
context_summary TEXT,
reasoning TEXT
);
```
## Troubleshooting
1. Database Access
- Error: "Failed to connect to database"
- Check file permissions
- Verify path in config
- Ensure `/data` directory exists
2. Installation Issues
- Error: "No module named 'mcp'"
- Run: `uv pip install mcp>=1.2.0`
- Error: "UV command not found"
- Install UV: `curl -LsSf https://astral.sh/uv/install.sh | sh`
3. Configuration
- Error: "Failed to start MCP server"
- Verify config.json syntax
- Check path separators (use \\ on Windows)
- Ensure UV is in your system PATH
## Contributing
1. Fork the repository
2. Create feature branch
3. Submit pull request
## License
MIT
## Support
Issues: [GitHub Issues](https://github.com/truaxki/mcp-variance-log/issues)
TDQS
Scored across 8 tools
Most tools have distinct purposes (e.g., create_table vs. list_tables), but there is overlap between log-query and read-logs, as both involve logging/retrieving conversation variations, which could cause confusion. Additionally, read_query and write_query are clearly distinct from each other but share the database query domain with other tools like describe_table.
Naming is inconsistent with mixed conventions: some use snake_case (append_insight, create_table), others use kebab-case (log-query, read-logs), and some are unclear (read_query vs. write_query, which are snake_case but differ in verb style). There is no uniform pattern across all tools, making it harder to predict naming.
With 8 tools, the count is reasonable for a server focused on database operations and conversation logging. It covers core functions without being overly bloated, though the scope might feel slightly broad due to mixing database management with logging features.
For database operations, there is good coverage (create, list, describe, read, write), but lacks update/delete specific tools, relying on write_query for those. For conversation logging, it has logging and retrieval, but no direct management tools like delete_logs or update_logs, leaving minor gaps in the lifecycle.