Datalog Studio MCP Server
Integrates with the Datalog Studio REST API to explore projects, tables, and assets within a workspace. It enables users to understand data schemas and upload plain text content directly for AI processing.
Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.
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igot-ai
Source: Glama
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The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.
These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.
list_catalogsList all available data catalogs
list_membersList all members of a catalog project, including their user profile and assigned role
assign_memberAssign a user to a role within a catalog project
update_member_roleUpdate an existing member's role in a catalog project
invite_memberSend an email invitation to an external user to join a catalog project
create_tableCreate a new table within a specific catalog
list_collectionsList all collections (master data tables) within a specific catalog
list_attributesList attributes and schema for a specific collection (by project/collection name)
list_data_assetsList all data assets (uploaded files) in a specific collection (by project/collection name)
add_columnAdd a new column to a catalog collection (by project/collection name)
add_columnsAdd multiple columns to a catalog collection (bulk, by project/collection name)
get_table_schemaGet the JSON schema of a table by its ID
update_tableUpdate table metadata (name, description, status, table_type)
delete_tableDelete a table and all its associated assets
list_assetsList assets (uploaded files) in a table with pagination and optional filters
get_assets_countGet the count of assets in a table
get_asset_contentGet the content of a specific asset (file) as base64
create_recorddelete_assetDelete a specific asset from a table
get_columnsGet all columns for a table by its ID
get_columns_countGet the count of columns in a table
create_columnCreate a single column in a table by table ID
create_columns_bulkCreate multiple columns in a table by table ID (bulk)
update_columnUpdate a column in a table
delete_columnDelete a column from a table
update_cell_valueUpdate a specific cell value (asset + column intersection)
delete_asset_column_dataDelete all asset-column data for a table
export_jsonExport table data as JSON
export_csvExport table data as CSV
export_excelExport table data as Excel (xlsx)
get_table_filesList files for a specific table
list_skillsList all custom AI skills for a project
get_skillGet a specific skill with its full content and references
create_skillCreate a new custom AI skill for the Gemini CLI
update_skillUpdate an existing custom AI skill
delete_skillDelete a custom AI skill
reload_skillsHot-reload all enabled skills into the current sandbox session. Call this after creating, updating, or deleting skills to apply changes immediately.
list_physical_tablesList all catalog collections that have a physical SQL table ready for querying. Returns table metadata including the physical table name, description, row count and column count.
describe_physical_tableGet the column schema and row count of a physical SQL table backing a catalog collection. Use this before querying to understand available columns and their types.
query_physical_tableaggregate_physical_tableDATALOG_APIThe domain endpoint (e.g., https://enterprise.com).DATALOG_API_KEYThe extension requires a . By default, it connects to https://studio.igot.ai/v1/catalog.DATALOG_URIE2B_SANDBOX_IDTool annotations
No tools have read-only/destructive annotations
Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.
All four hints declared on every tool
41/41 tools missing one or more hints — list_catalogs (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_members (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); assign_member (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +38 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.
For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.
License file
No license file
Add a LICENSE file (MIT, Apache-2.0, etc.).
Tests exist
No test files found
Add tests that exercise each declared tool.
No arbitrary install scripts
Has postinstall/preinstall script — runs arbitrary code on npm install
Remove postinstall/preinstall hooks unless they’re essential.
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