dltHub-AI-workbench
OfficialServer Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_pipelinesA | List all dlt pipelines available in this workspace |
| list_profilesA | List all available workspace profiles with status flags (current, pinned, configured). |
| get_workspace_infoA | Get workspace info: name, directories, active profile, and config providers. |
| list_toolkitsA | List available dlt AI toolkits with their names and descriptions. |
| toolkit_infoC | Show detailed contents of a dlt AI toolkit. |
| secrets_listB | List secret file paths, profiles, and whether each file exists. |
| secrets_view_redactedA | Show secrets TOML with every value replaced by '***'. Without path: returns the unified merged view across all project secret files (read-only, shows effective configuration). With path: returns that single file redacted. Use secrets_list to discover file paths. |
| secrets_update_fragmentA | Deep-merge a TOML fragment into a secrets file; returns the redacted result. The file is created if it does not exist. |
| list_tablesC | List all data tables for a pipeline. |
| get_table_schemaB | Get table schema with column names, data types, and escaped sql_identifier fields. |
| get_table_create_sqlC | Get CREATE TABLE DDL for the table in the destination's SQL dialect. |
| preview_tableC | Get the first 10 rows from a table. |
| execute_sql_queryA | Execute a read-only SQL query against the pipeline's destination dataset. |
| get_row_countsB | Get row counts for all data tables in a pipeline. |
| export_schemaC | Export the pipeline schema as a diagram or structured dump. |
| get_local_pipeline_stateB | Get pipeline state: incremental cursors, resource state, and source state. |
| search_dlthub_sourcesB | Search for available dlt sources on dlthub by name or description. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/dlt-hub/dlthub-ai-workbench'
If you have feedback or need assistance with the MCP directory API, please join our Discord server