Adverity MCP

Endpoint

Hosted endpoint · transport http

Connect

This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):

For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:

If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:

Tools

• manage_datastream — Lists, creates, and configures datastreams; view status, enable or disable pipelines, filter datastreams scheduled for deletion, explore connector types and their field options, and read or edit the metrics and dimensions a datastream collects.
• manage_authorization — Manages authorizations for connected data sources (Google Ads, Facebook Ads, LinkedIn Ads, etc.): create connections, check authorization status, handle OAuth flows, refresh metadata from external APIs, and manage which accounts an authorization may collect from including the grant-all flag. Has a list_permissions action.
• manage_fetch — Controls data collection jobs — trigger fetches on demand or for a date range, monitor job status, stop running jobs, and review a datastream's fetch schedule.
• manage_error — Lists errors and their state, retrieves a single error by ID, retries failed operations, and acknowledges errors; retry/confirm can apply to one error or to every error in the same error group.
• manage_extract — Lists and downloads data extracts from successful datastream executions; downloads return a preview of the first rows by default, full content on request.
• manage_workspace — Lists workspaces, shows their structure and hierarchy, lists available storage locations, and creates or updates workspaces.
• manage_transformation — Creates, lists, and edits transformations as part of datastream setup and retrieves the schema of supported processing operations; only name and description are editable after creation.
• manage_mapping_table — Lists, retrieves, and updates mapping tables used for data harmonization and manages individual match-to-value entries; read-only access to value tables. Mapping tables cannot be created or deleted through the API.
• manage_data_mapping — Maps a datastream's source columns to target columns — list source and target columns, create target columns, and map, unmap, or bulk-replace a datastream's column mappings.
• manage_destinations — Creates and manages destinations where harmonized data is delivered (BigQuery, Snowflake, Google Sheets, etc.), lists destination types, and manages destination column mappings.
• manage_user — Lists and manages instance users by ID — list, retrieve, create, update, delete — and sets any assignable platform role.
• manage_notifications — Manages notification subscriptions across email, Slack, and Microsoft Teams — list, retrieve, create, update, delete — optionally scoped to specific datastreams or workspaces.

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.