Install dlt-mcp from PyPI
Install exact version 0.3.0. The executable name has not been verified, so it is intentionally not guessed.
python -m pip install 'dlt-mcp==0.3.0'MCP server intelligence profile
dlt MCP Server
Enables large language models to retrieve up-to-date and correct information about dlt pipelines, datasets, and schemas, improving AI-assisted development
1Distribution channel
8Independently observed tools
0Linked remote endpoints
AvailableVersion intelligence
Install and connect
Installation and connection instructions are shown only when supported by retained package, repository, or endpoint evidence.
Identity
| Canonical slug | dlt-75314f3d | Deployment | Local Only |
|---|---|---|---|
| Canonical package | pypi:dlt-mcp | Repository | dlt-hub/dlt-mcp |
| First published | Feb 19, 2026 | Latest release | Feb 19, 2026 |
| Last security verification | — | Classification confidence | 35% |
| Publication | Published | Official distribution | Yes |
Distributions
| Channel | Identifier | Current version | Versions | Source |
|---|---|---|---|---|
| pypi | dlt-mcp | 0.3.0 | 1 | Repository |
Current release
| Package | Version | Published / observed | Inventory | Security scan |
|---|---|---|---|---|
| pypidlt-mcp | 0.3.0Current | Feb 19, 2026 | 8 toolsSucceeded · 0 resources · 1 prompts | Failed |
Enterprise protection
Continuously monitor this MCP for security risk
Independently scan the exact version your agents use, receive alerts when its risk changes, and investigate every finding with retained version evidence.
- Independent exact-version security scans
- Continuous release and vulnerability monitoring
- Risk-change alerts with capability context
- Historical evidence and API exports
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Current version evidence
| Provenance | artifact_hash_verified | Signature | — |
|---|---|---|---|
| MCP SDK | — | Artifact SHA-256 | d3e2fabd2db0f4426f925bcfdc4626872e9914bb0cef57062790ddeda1f8ef76 |
| Scanner | mcp-proof-engine 0.1.0 | Scan completed | Aug 23, 2026 |
| Security rating | — | Methodology | — |
Current protocol inventory
2025-06-18Negotiated protocol
dlt MCPServer-reported name
6Capability groups
Aug 23, 2026Observed
Tools 8
| Tool | Category | Annotations | Risk |
|---|---|---|---|
display_schemaGenerate a mermaid diagram to represent the pipeline schema
pipeline_name: name of the pipeline
hide_columns: when True, the columns are hiddenInput schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
},
"hide_columns": {
"default": false,
"type": "boolean"
}
},
"required": [
"pipeline_name"
],
"type": "object"
}Output schema{
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"type": "object",
"x-fastmcp-wrap-result": true
} | — | — | |
execute_sql_queryInput schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
},
"sql_select_query": {
"type": "string"
}
},
"required": [
"pipeline_name",
"sql_select_query"
],
"type": "object"
}Output schema{
"properties": {
"result": {
"items": {
"items": {},
"type": "array"
},
"type": "array"
}
},
"required": [
"result"
],
"type": "object",
"x-fastmcp-wrap-result": true
} | — | — | |
get_load_tableRetrieve metadata about data loaded with dlt.Input schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
}
},
"required": [
"pipeline_name"
],
"type": "object"
}Output schema{
"properties": {
"result": {
"items": {
"additionalProperties": true,
"type": "object"
},
"type": "array"
}
},
"required": [
"result"
],
"type": "object",
"x-fastmcp-wrap-result": true
} | — | — | |
get_pipeline_local_stateRetrieve the pipeline state information.
Includes: incremental dates, resource state, source stateInput schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
}
},
"required": [
"pipeline_name"
],
"type": "object"
}Output schema{
"description": "Schema for a pipeline state that is stored within the pipeline working directory",
"properties": {
"_state_version": {
"type": "integer"
},
"_version_hash": {
"type": "string"
},
"_state_engine_version": {
"type": "integer"
},
"pipeline_name": {
"type": "string"
},
"dataset_name": {
"type": "string"
},
"default_schema_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"schema_names": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
]
},
"destination_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"destination_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"staging_name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"staging_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"_local": {
"properties": {
"first_run": {
"type": "boolean"
},
"_last_extracted_at": {
"format": "date-time",
"type": "string"
},
"_last_extracted_hash": {
"type": "string"
},
"initial_cwd": {
"type": "string"
},
"last_run_context": {
"anyOf": [
{
"description": "Stores context from the last successful pipeline run or sync",
"properties": {
"run_dir": {
"type": "string"
},
"uri": {
"type": "string"
},
"local_dir": {
"type": "string"
},
"settings_dir": {
"type": "string"
}
},
"type": "object"
},
{
"type": "null"
}
]
},
"_dev_mode": {
"type": "boolean"
}
},
"type": "object"
},
"sources": {
"additionalProperties": {
"additionalProperties": true,
"type": "object"
},
"type": "object"
}
},
"type": "object"
} | — | — | |
get_table_schemaGet the schema of the specified table.Input schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
},
"table_name": {
"type": "string"
}
},
"required": [
"pipeline_name",
"table_name"
],
"type": "object"
}Output schema{
"description": "TypedDict that defines properties of a table",
"properties": {
"x-normalizer": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
},
"x-loader": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
},
"x-extractor": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"description": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"schema_contract": {
"anyOf": [
{
"enum": [
"evolve",
"discard_value",
"freeze",
"discard_row"
],
"type": "string"
},
{
"description": "TypedDict defining the schema update settings",
"properties": {
"tables": {
"anyOf": [
{
"enum": [
"evolve",
"discard_value",
"freeze",
"discard_row"
],
"type": "string"
},
{
"type": "null"
}
]
},
"columns": {
"anyOf": [
{
"enum": [
"evolve",
"discard_value",
"freeze",
"discard_row"
],
"type": "string"
},
{
"type": "null"
}
]
},
"data_type": {
"anyOf": [
{
"enum": [
"evolve",
"discard_value",
"freeze",
"discard_row"
],
"type": "string"
},
{
"type": "null"
}
]
}
},
"type": "object"
},
{
"type": "null"
}
]
},
"table_sealed": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"parent": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"filters": {
"anyOf": [
{
"properties": {
"excludes": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
]
},
"includes": {
"anyOf": [
{
"items": {
"type": "string"
},
"type": "array"
},
{
"type": "null"
}
]
}
},
"required": [
"excludes",
"includes"
],
"type": "object"
},
{
"type": "null"
}
]
},
"columns": {
"additionalProperties": {
"description": "TypedDict that defines additional column hints",
"properties": {
"data_type": {
"anyOf": [
{
"enum": [
"text",
"double",
"bool",
"timestamp",
"bigint",
"binary",
"json",
"decimal",
"wei",
"date",
"time"
],
"type": "string"
},
{
"type": "null"
}
]
},
"nullable": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"precision": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
]
},
"scale": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
]
},
"timezone": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"x-normalizer": {
"anyOf": [
{
"additionalProperties": true,
"type": "object"
},
{
"type": "null"
}
]
},
"name": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"description": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"partition": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"cluster": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"unique": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"sort": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"primary_key": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"row_key": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"parent_key": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"root_key": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"merge_key": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"variant": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"hard_delete": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
},
"dedup_sort": {
"anyOf": [
{
"enum": [
"asc",
"desc"
],
"type": "string"
},
{
"type": "null"
}
]
},
"incremental": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
]
}
},
"type": "object"
},
"type": "object"
},
"resource": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"table_format": {
"anyOf": [
{
"enum": [
"iceberg",
"delta",
"hive",
"native"
],
"type": "string"
},
{
"type": "null"
}
]
},
"file_format": {
"anyOf": [
{
"enum": [
"preferred",
"jsonl",
"typed-jsonl",
"insert_values",
"parquet",
"csv",
"reference",
"model"
],
"type": "string"
},
{
"type": "null"
}
]
},
"variant_name": {
"type": "string"
},
"write_disposition": {
"anyOf": [
{
"enum": [
"skip",
"append",
"replace",
"merge"
],
"type": "string"
},
{
"type": "null"
}
]
},
"references": {
"anyOf": [
{
"items": {
"properties": {
"label": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"cardinality": {
"anyOf": [
{
"enum": [
"zero_to_one",
"one_to_zero",
"zero_to_many",
"many_to_zero",
"one_to_many",
"many_to_one",
"one_to_one",
"many_to_many"
],
"type": "string"
},
{
"type": "null"
}
]
},
"columns": {
"items": {
"type": "string"
},
"type": "array"
},
"referenced_table": {
"type": "string"
},
"referenced_columns": {
"items": {
"type": "string"
},
"type": "array"
},
"table": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
}
},
"type": "object"
},
"type": "array"
},
{
"type": "null"
}
]
}
},
"type": "object"
} | — | — | |
get_table_schema_diffGet the diff between schema versions of a table.Input schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
},
"table_name": {
"type": "string"
},
"another_version_hash": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null
}
},
"required": [
"pipeline_name",
"table_name"
],
"type": "object"
}Output schema{
"properties": {
"result": {
"type": "string"
}
},
"required": [
"result"
],
"type": "object",
"x-fastmcp-wrap-result": true
} | — | — | |
list_pipelinesList all available dlt pipelines. Each pipeline has several tables.Input schema{
"additionalProperties": false,
"properties": {},
"type": "object"
}Output schema{
"properties": {
"result": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"result"
],
"type": "object",
"x-fastmcp-wrap-result": true
} | — | — | |
list_tablesList all available tables in the specified pipeline.Input schema{
"additionalProperties": false,
"properties": {
"pipeline_name": {
"type": "string"
}
},
"required": [
"pipeline_name"
],
"type": "object"
}Output schema{
"properties": {
"result": {
"items": {
"type": "string"
},
"type": "array"
}
},
"required": [
"result"
],
"type": "object",
"x-fastmcp-wrap-result": true
} | — | — |
Resources 0
- None observed.
Resource templates 0
- None observed.
Prompts 1
- infer_table_reference
infer_table_referenceGenerates guidelines to infer table references for a given pipeline
Remote endpoints
| Endpoint | Transport | Authentication | Health | Observed |
|---|---|---|---|---|
| No verified remote endpoint is linked. | ||||
dlt MCP Server questions
How do I install dlt MCP Server?
Install the selected package version with: python -m pip install 'dlt-mcp==0.3.0'
What tools does dlt MCP Server provide?
dlt MCP Server exposed 8 tools during independent protocol observation, including display_schema, execute_sql_query, get_load_table, get_pipeline_local_state, get_table_schema, get_table_schema_diff, list_pipelines, list_tables.
Is dlt MCP Server secure?
Our scanner tested version 0.3.0 without proving a finding in the methods exercised. This is not a guarantee that every deployment is secure.
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