ASAM ODS Jaquel MCP Server - A Model Context Protocol server for creating and validating Jaquel queries
Project description
ASAM ODS Jaquel MCP Server
A Model Context Protocol (MCP) server for ASAM ODS with odsbox Jaquel query tools, ODS connection management, and measurement data access.
Overview
- 🔌 Built-in ODS connection management
- 🧰 29+ MCP tools: schema inspection, query validation, optimization, debugging, and direct ODS query execution
- 🏗️ Entity hierarchy visualization (AoTest → AoMeasurement)
- 🚀 Validate, build, and optimize Jaquel queries for ASAM ODS
- 📦 Bulk timeseries/submatrix data access and script generation
- 📊 Automatic Jupyter notebook generation for measurement comparison
- 📈 Matplotlib visualization code generation
- 📉 Statistical measurement comparison and correlation analysis
- 🔎 Measurement hierarchy exploration and discovery
- 💡 Interactive starting prompts for guided workflows
- 🤖 AI-guided bulk API learning with
get_bulk_api_helptool - 📝 Comprehensive examples, documentation, and test suite
Documentation
- Prompts Guide: See
PROMPTS.mdfor starting prompts documentation - Tool Reference: See
TOOLS_GUIDE.md
Quick Start
Installation
Using uvx (Recommended)
The easiest way to use this MCP server is with uvx:
uvx odsbox-jaquel-mcp
This automatically installs and runs the server without managing virtual environments.
Using pipx
For a persistent installation:
pipx install odsbox-jaquel-mcp
odsbox-jaquel-mcp
Traditional pip Installation
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install odsbox-jaquel-mcp[play]
Note: The
[play]extra includes optional data analysis and visualization dependencies (pandas, matplotlib, scipy) for working with Jupyter notebooks and data analysis.
Running the Server
The server runs on stdin/stdout and waits for MCP messages from an MCP client:
# With uvx (auto-installs and runs)
uvx odsbox-jaquel-mcp
# With pipx (if installed)
odsbox-jaquel-mcp
# With pip in virtual environment
python -m odsbox_jaquel_mcp
Configuration for MCP Clients
Add to your MCP client configuration (e.g., Claude Desktop, VS Code):
{
"mcpServers": {
"odsbox-jaquel": {
"command": "uvx",
"args": ["odsbox-jaquel-mcp"]
}
}
}
Or with pipx:
{
"mcpServers": {
"odsbox-jaquel": {
"command": "odsbox-jaquel-mcp"
}
}
}
Development
Setup
git clone https://github.com/totonga/odsbox-jaquel-mcp.git
cd odsbox-jaquel-mcp
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
pip install -e ".[dev]"
Common Tasks
# Run server locally
python -m odsbox_jaquel_mcp
# Run tests
pytest tests/
# or
python run_tests.py
# Code formatting and linting
black .
isort .
flake8 .
# Build package
python -m build
# Test with MCP Inspector
npx @modelcontextprotocol/inspector uvx odsbox-jaquel-mcp
Contributing
Pull requests and issues are welcome! Please:
- Follow PEP8 and use type hints
- Add/maintain tests for new features
- Update documentation as needed
License
This project is licensed under the Apache License 2.0. See LICENSE.
Links
Features
Core Validation Tools
Query Building & Validation
- validate_jaquel_query - Check query syntax and structure
- validate_filter_condition - Validate filter conditions
- build_filter_condition - Construct filter conditions
- explain_jaquel_query - Get plain English explanation
Pattern & Example Library
- get_query_pattern - Get template for common patterns
- list_query_patterns - List available patterns
- generate_query_skeleton - Generate query skeleton for entity
- get_operator_documentation - Learn about operators
Query Optimization
- suggest_optimizations - Get optimization suggestions
- merge_filter_conditions - Combine multiple conditions
Debugging Tools
- debug_query_steps - Break query into logical steps
- suggest_error_fixes - Get suggestions for errors
Schema Inspection (Requires Connection)
- check_entity_schema - Get all fields for entity
- validate_field_exists - Check if field exists
- validate_filter_against_schema - Validate against schema
- list_ods_entities - List all entities with relationships
- get_test_to_measurement_hierarchy - Get ASAM ODS test hierarchy structure
Connection Management (NEW)
- connect_ods_server - Establish ODS connection
- disconnect_ods_server - Close ODS connection
- get_ods_connection_info - Get connection status
- execute_ods_query - Execute query on ODS server
- get_submatrix_measurement_quantities - List measurement quantities for submatrix
- read_submatrix_data - Read timeseries data from submatrix
- generate_submatrix_fetcher_script - Generate Python scripts for data fetching
Starting Prompts
Discover and use the server's capabilities through interactive guided prompts:
- Validate a Jaquel Query - Learn query validation
- Explore Query Patterns - Find common query templates
- ODS Server Connection - Set up and manage connections
- Build Filter Conditions - Master WHERE clause construction
- Bulk Data Access - Master the 3-step Bulk API workflow
- Measurement Analysis - Compare measurements and visualize data
- Optimize & Debug - Improve query performance
See PROMPTS.md for complete details on all starting prompts.
Error Handling
Common Errors and Solutions
Not connected
{
"error": "Model not loaded",
"hint": "Connect to ODS server using 'connect_ods_server' tool first"
}
Solution: Call connect_ods_server first
Invalid entity
{
"error": "Entity not found: InvalidEntity",
"available_entities": ["AoUnit", "AoMeasurement", ...]
}
Solution: Use valid entity from available_entities
Invalid field
{
"valid": false,
"issues": ["Field 'invalid_field' not found"],
"suggestions": ["id", "name", "description"]
}
Solution: Use one of the suggested fields
Connection failed
{
"success": false,
"error": "Connection refused",
"error_type": "ConnectionError"
}
Solution: Check URL, server availability, firewall
Troubleshooting
Issue: Tools not discovered
- Ensure mcp>=0.1.0 is installed
- Check ToolsCapability is set in ServerCapabilities
- Restart MCP client
Issue: Schema tools fail
- Ensure ODS server is accessible
- Check username/password
- Verify network connectivity
- Review server logs
Issue: Queries timeout
- Increase request_timeout in connect
- Optimize query with suggest_optimizations
- Reduce $rowlimit
- Check ODS server performance
Performance Tips
- Use specific filters - Avoid querying all records
- Limit rows - Always use
$rowlimitappropriately - Select attributes - Only retrieve needed columns
- Index awareness - Filter on indexed fields first
- Connection reuse - Keep connection open when possible
- Cache schemas - Schema inspection is cached
Security Notes
- Credentials are only held in memory during connection
- Connection is cleaned up on disconnect
- No credentials stored in config files
- Use HTTPS with
verify_certificate: truefor production
Support
For issues or questions:
- Check the error message and hints
- Review the documentation and examples
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