odsbox-jaquel-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@odsbox-jaquel-mcpquery all AoMeasurement with channel 'Speed'"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
🧰 MCP tools: schema inspection, query validation, direct ODS query execution and measurement data analysis
🏗️ Entity hierarchy visualization (AoTest → AoMeasurement)
🚀 Validate, explain and execute 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
help_bulk_apitool📝 Comprehensive documentation and test suite
Related MCP server: Filesystem MCP Server
Documentation
Prompts Guide: See
PROMPTS.mdfor starting prompts documentationTool Reference: See
TOOLS_GUIDE.mdChangelog: See
CHANGELOG.md
Quick Start
Installation
Using uvx (Recommended)
The easiest way to use this MCP server is with uvx:
uvx odsbox-jaquel-mcp@latestThis automatically installs and runs the server without managing virtual environments.
Using uv tool (persistent install)
For a persistent installation:
uv tool install odsbox-jaquel-mcp
odsbox-jaquel-mcpUsing project virtual environment
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv 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@latest
# With uv tool (if installed)
odsbox-jaquel-mcp
# With project environment
uv run python -m odsbox_jaquel_mcpConfiguration for MCP Clients
Add to your MCP client configuration (e.g., Claude Desktop, VS Code):
{
"mcpServers": {
"ods-mcp": {
"type": "stdio",
"command": "uvx",
"args": ["odsbox-jaquel-mcp@latest"]
}
}
}Or with uv tool:
{
"mcpServers": {
"ods-mcp": {
"type": "stdio",
"command": "odsbox-jaquel-mcp"
}
}
}Environment Variables
Variable | Default | Description |
| not set (disabled) | Set to |
|
| Controls the server-side log level ( |
|
| Authentication mode for |
| not set | ODS server URL for |
| not set | ODS username (basic mode) |
| not set | ODS password (basic mode; falls back to keyring) |
| not set | OAuth2 token endpoint (m2m mode) |
| not set | Client ID (m2m mode) |
| not set | Client secret (m2m mode; falls back to keyring) |
| not set | Client ID (oidc mode) |
| not set | Redirect URI (oidc mode, e.g. |
|
| TLS certificate verification ( |
See TOOLS_GUIDE.md for the full list of authentication variables and keyring fallback details.
Usage Monitoring
When ODSBOX_STATS_ENABLED=true is set, the server records tool call and resource read statistics to a local SQLite database:
Location:
~/.local/share/odsbox-jaquel-mcp/odsbox-jaquel-mcp-stats.db(Linux/macOS) or%APPDATA%\odsbox-jaquel-mcp\odsbox-jaquel-mcp-stats.db(Windows), with fallback to the system temp directory.Tracked per tool: call count, error count, total execution time (ms), last called timestamp.
Tracked per resource: read count, error count, total execution time (ms), last read timestamp.
Cross-process safe: uses SQLite WAL mode, so multiple concurrent MCP sessions can write safely.
You can query the stats database directly:
sqlite3 ~/.local/share/odsbox-jaquel-mcp/odsbox-jaquel-mcp-stats.db \
"SELECT name, calls, errors, total_ms FROM tool_stats ORDER BY calls DESC"Example MCP client configuration with monitoring enabled:
{
"mcpServers": {
"ods-mcp": {
"type": "stdio",
"command": "uvx",
"args": ["odsbox-jaquel-mcp@latest"],
"env": {
"ODSBOX_STATS_ENABLED": "true",
"FASTMCP_LOG_LEVEL": "WARNING"
}
}
}
}Development
Setup
git clone https://github.com/totonga/odsbox-jaquel-mcp.git
cd odsbox-jaquel-mcp
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv sync --all-extras --group devCommon Tasks
# Run server locally
uv run python -m odsbox_jaquel_mcp
# Run tests
uv run pytest tests/
# or
python run_tests.py
# Code formatting and linting
ruff check .
ruff format .
# Build package
uv build
# Test with MCP Inspector
npx @modelcontextprotocol/inspector uvx odsbox-jaquel-mcp@latestContributing
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 MCP Tools
Connection Management
ods_connect - Establish ODS connection
ods_connect_using_env - Establish ODS connection using environment variables
ods_disconnect - Close ODS connection
ods_get_connection_info - Get connection status
Schema Inspection
schema_get_entity - Get all fields for entity
schema_list_entities - List all entities with relationships
schema_test_to_measurement_hierarchy - Get ASAM ODS test hierarchy structure
Query Building & Validation
query_validate - Check query syntax and structure
query_describe - Get plain English explanation
query_execute - Execute query on ODS server
Timeseries/Submatrix Data Access
data_get_quantities - List measurement quantities for submatrix
data_read_submatrix - Read timeseries data from submatrix
data_generate_fetcher_script - Generate Python scripts for data fetching
Pattern & Example Library
query_generate_skeleton - Generate query skeleton (basic query) for entity
query_get_pattern - Get template for common patterns
query_list_patterns - List available patterns
query_get_operator_docs - Learn about operators
Starting Prompts
Discover and use the server's capabilities through interactive guided prompts:
ODS Server Connection - Set up and manage connections
Validate a Jaquel Query - Learn query validation
Explore Query Patterns - Find common query templates
Bulk Data Access - Master the 3-step Bulk API workflow
Measurement Analysis - Compare measurements and visualize data
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 'ods_connect' tool first"
}Solution: Call ods_connect 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
Reduce $rowlimit
Check ODS server performance
Performance Tips
Use specific filters - Avoid querying all records
Limit rows - Always use
$rowlimitappropriatelySelect attributes - Only retrieve needed columns/attributes
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
Install in VSCode
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Try with example server configuration using all three authentication modes via different env prefixes:
{
"servers": {
"ods": {
"type": "stdio",
"command": "uvx",
"args": [
"odsbox-jaquel-mcp@latest"
],
"env": {
"ODSBOX_MCP_URL": "https://docker.peak-solution.de:10032/api",
"ODSBOX_MCP_USER": "Demo",
"ODSBOX_MCP_PASSWORD": "mdm",
"ODSBOX_MCP2_MODE": "m2m",
"ODSBOX_MCP2_URL": "https://ods.example.com/api",
"ODSBOX_MCP2_M2M_TOKEN_ENDPOINT": "https://auth.example.com/realms/myrealm/protocol/openid-connect/token",
"ODSBOX_MCP2_M2M_CLIENT_ID": "my-service-client",
"ODSBOX_MCP3_MODE": "oidc",
"ODSBOX_MCP3_URL": "https://ods.example.com/api",
"ODSBOX_MCP3_OIDC_CLIENT_ID": "my-oidc-client",
"ODSBOX_MCP3_OIDC_REDIRECT_URI": "http://127.0.0.1:1234"
}
}
},
"inputs": []
}Support
For issues or questions:
Check the error message and hints
Review the documentation
This server cannot be installed
Maintenance
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