ssis-adf-agent
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AZURE_CLIENT_ID | No | Azure Service Principal application (client) ID for deployment authentication. | |
| AZURE_TENANT_ID | No | Azure Active Directory tenant ID for deployment authentication. | |
| AZURE_CLIENT_SECRET | No | Azure Service Principal secret for deployment authentication. | |
| AZURE_OPENAI_API_KEY | No | Azure OpenAI API key. Required for LLM-powered Script Task translation. | |
| AZURE_OPENAI_ENDPOINT | No | Your Azure OpenAI resource URL (e.g., https://my-resource.openai.azure.com/). Required for LLM-powered Script Task translation. | |
| AZURE_OPENAI_DEPLOYMENT | No | Azure OpenAI model deployment name. | gpt-4o |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| scan_ssis_packagesA | Discover all SSIS packages (.dtsx files) from a given source. Returns a JSON list of found packages with name, path, and basic metadata. source_type must be one of: 'local', 'git', 'sql'. |
| analyze_ssis_packageA | Analyze a single SSIS package (.dtsx file) and return a detailed report including: complexity score (0-100), effort estimate (Low/Medium/High/Very High), component inventory, gap analysis (items needing manual work), cross-database/linked server references, CDM pattern detection, ESI reuse candidates, and dependency execution order. |
| convert_ssis_packageA | Convert a single SSIS package (.dtsx file) to Azure Data Factory JSON artifacts. Generates: pipeline JSON, linked service JSONs, dataset JSONs, mapping data flow JSONs, trigger JSONs, and Azure Function stubs for Script Tasks. Supports Self-Hosted IR, Key Vault secrets, Microsoft Recommended linked service format, schema remapping, ESI reuse detection, CDM pattern flagging, and cross-package dedup. Returns a summary of generated files and any warnings. |
| validate_adf_artifactsA | Validate ADF JSON artifacts in a directory for structural correctness. Checks that required fields (name, properties, activities) are present. Returns a list of validation issues found, or a success message if all artifacts are valid. |
| deploy_to_adfA | Deploy ADF JSON artifacts from a local directory to an Azure Data Factory instance. Deploys in correct dependency order: linked services → datasets → data flows → pipelines → triggers. Triggers are deployed in Stopped state and must be activated manually. Uses DefaultAzureCredential (az login, managed identity, or service principal env vars). |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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