Improvado Customer MCP
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Documentation
Documentation link · transport http
Tools
clickhouseTool— Execute SQL against ClickHouse warehouse — customer workspace scopequeryDestinationTool— Query downstream destinations directly (BigQuery, Snowflake, Redshift)visualizationTool— Generate charts — line, bar, area, pie, scatter, tableheatmapVisualizationTool— Create heatmaps for time-based metric analysissendEmailTool— Send reports and visualizations via emaildiscoveryListDataSourcesTool— List all data sources available in the workspacediscoveryListConnectorsTool— List connectors/integrations by data source namediscoveryListAccountsTool— List ad accounts within a specific connectordiscoveryRequestTool— Execute live query against any of 1,000+ platforms (Google Ads GAQL, Meta, etc.)discoveryWebSearchTool— Search documentation and support resources for a data sourcegetConnectionsTool— Get all connections for a datasource in current workspacegetConnectionAccountsTool— Get ad accounts associated with a specific connectiongetDestinationConnectionsTool— List destination connections (where data lands)createExtractTool— Create a new scheduled data extraction from a sourceupdateExtractTool— Update extract schedule, accounts, or field selectiongetExtractByIdTool— Get details of a specific extract by IDgetExtractTemplatesTool— List available extract templatesgetExtractTemplateByIdTool— Get a specific extract template by IDlistAllExtractsTool— List all extracts in the workspace with statuspauseExtractTool— Pause a running extract (stops scheduled pulls)unpauseExtractTool— Resume a paused extractdiscoverFileFieldsTool— Discover available fields for a file-based data sourcecreateLoadTool— Create a new load to push data to a destinationupdateLoadTool— Update load destination or schedule settingsgetLoadTool— Get details of a specific load by IDgetLoadsTool— List loads with filtering optionslistLoadsTool— List all loads in the workspacedeleteLoadTool— Delete a load permanentlypauseLoadTool— Pause a running loadunpauseLoadTool— Resume a paused loadrunLoadTool— Manually trigger a load run immediatelygetPipelineRunsTool— Get run history for a pipelinegetPipelineRunResultTool— Get detailed results of a specific pipeline rungenerateFlatDataSampleTool— Generate a data sample from a flat file sourcecreateCustomPipelineTool— Create a custom SQL/Python transformation pipelineupdateCustomPipelineTool— Update custom pipeline logic or scheduledeleteCustomPipelineTool— Delete a custom pipelinelistCustomPipelinesTool— List all custom pipelines in workspaceexecuteCustomPipelineTool— Execute a custom pipeline immediatelyrunCustomPipelineCodeTool— Run pipeline code with custom parameterscreateMdgViewTool— Create a governance rule/view (naming, budget, classification)getMdgRuleLibraryExampleTool— Get examples from the 250+ pre-built MDG rule librarytestMdgNotificationTool— Test MDG alert and notification configurationpreviewEmailImportAddressTool— Preview email import address for data ingestionuploadFlatDataFileTool— Upload CSV or Excel file for processinguploadNewFileToExtractTool— Upload a new file version to an existing extractcreateFlatDataExtractTool— Create an extract pipeline from flat file datacreateRecipeTool— Create a new composable AI analysis notebookupdateRecipeTool— Update recipe settings, cells, or parametersgetRecipeTool— Retrieve a recipe by IDgetRecipeTemplatesTool— List available recipe templates (attribution, reporting, etc.)createRecipeStepTool— Add a SQL or Python step to an existing recipegetRecipeStepTool— Get a specific step within a recipelistRecipesTool— List all recipes in the current workspaceactivateRecipeTool— Activate and run a recipenameRecipeTool— Set or update the display name of a recipecreateLesIntegrationChatTool— Create a LES integration chat session for guided setupscheduleChatTool— Schedule a recurring AI chat/analysis sessiongetScheduledChatTool— Get details of a scheduled chat sessiondeleteScheduledChatTool— Remove a scheduled chat sessiongetDashboardTool— Retrieve a dashboard by IDlistDashboardsTool— List all dashboards in the workspacegetCustomDashboardsAndDecksPromptTool— Get context prompt for custom dashboards and deckscreateDocument— Create a new document in the workspaceeditDocument— Edit content of an existing documentgetDocument— Retrieve a document by IDdeleteDocument— Delete a document permanentlylistDocuments— List all documents in the workspacefindChat— Search past AI conversations by querygetChat— Get full conversation context and history by IDgetManagedConnectionCredentialsTool— Get connection credential metadata (IDs/status — never raw secrets)documentationTool— Query Improvado product documentationretrieveDocumentationTool— Retrieve specific documentation files by pathlistDataTablesTool— List all data tables available in current workspacegetCurrentWorkspaceTool— Get current workspace context — agency, workspace ID, nameswitchWorkspaceTool— Switch to a different workspace within allowed agenciesgetWorkspacesTool— List all workspaces available to the authenticated usermcpListToolsTool— Dynamically list all available MCP tools at runtimemcpCallToolTool— Call any MCP tool by name (meta-wrapper for agents)mcpListResourcesTool— List MCP resources available in current contextmcpReadResourceTool— Read a specific MCP resource by URIcreateConnectionTool— Create a new data source connection in the workspacecustomConnectorFormTool— Access custom connector configuration form
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.