"Automating Business Processes in Marketing" matching MCP servers:

Sozio Business is a standalone local MCP server for combining private company data with 22,635 profiled Swiss open-data resources.

Enables managing a Yandex Business branch network through an XML feed from any MCP client. Agents can edit branch data in YAML, import/export, validate, diff, and build the feed locally, while publishing to Yandex remains manual.

Connect AI assistants to live Meta Ads, GA4, and Google Search Console data. 100% local, credentials machine-locked and encrypted. Supports Claude Desktop, Cursor, Windsurf, Cline, and more.

Enables AI assistants to manage SAP Business Data Cloud operations including data shares, Delta Sharing, and data product publishing through an MCP interface.

MCP server for configuring the konsol Frappe app via the CLI. Enables AI clients to manage dimensions, measures, fact tables, connectors, and schemas using natural language.

Enables AI agents to administer, inspect, and troubleshoot BI Platform 4.3 SP5 through REST Web Services, including Web Intelligence documents, universes, CMS security, schedules, and repository hierarchy.

Enables AI agents to discover, request access to, and query data products in Data Mesh Manager, enforcing governance policies while retrieving business data from platforms like Snowflake and Databricks.

Enables AI agents to discover and query enterprise knowledge documents and business metrics through standardized MCP tools, supporting retrieval, structured sales/order analysis, anomaly scanning, and data lineage lookups.

A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.

Enables AI assistants to manage CData Sync operations, including data synchronization jobs, connections, and ETL processes through stdio or HTTP transports. It provides tools for executing jobs, monitoring real-time progress via Server-Sent Events, and handling comprehensive workspace configurations.

Enables AI agents and their users to ask business questions in plain language and receive governed metric values, breakdowns, share-of-total figures, and the exact parameterized SQL behind them, drawn from a single semantic model rather than ad-hoc SQL. It also lets clients inspect available metrics and their definitions, and preview optimized queries without executing them.

Enables AI assistants to discover and invoke 445 Salesforce Marketing Cloud Next, Data 360, and Data 360 Connect API endpoints, plus SOQL queries, object describe, REST exploration, org limits, and record/metadata CRUD, with shared OAuth authentication and safety gates.

An open-source MCP server that connects to various data sources (SQL databases, CSV, Parquet files), allowing AI models to execute SQL queries and generate data visualizations for analytics and business intelligence.

A Model Context Protocol server that extracts and processes content from PDF documents, providing text extraction, metadata retrieval, page-level processing, and PDF validation capabilities.

An MCP server for data reconciliation between MySQL and Snowflake, enabling LLM agents to validate data integrity during migrations and ETL processes.

A MCP server that wraps CISP enterprise information APIs into MCP tools, enabling AI agents to query business data like company profiles, trademarks, patents, and more.

Enables compatible AI clients to discover and query governed metrics and datasets, ask business questions, investigate metric changes, and retrieve supporting evidence while access remains governed by the configured identity.

Enables Meta Ads account, campaign, ad set, creative, audience, and budget management alongside deterministic marketing growth analytics such as ROAS, CPA, CTR, anomaly detection, cohort retention, and evidence packets. Supports stdio and Streamable HTTP transports with local OAuth or bearer-token authentication.

Provides access to Outscraper's data extraction services for business intelligence, location data, and reviews across platforms like Google Maps, Amazon, and Yelp. It enables AI assistants to perform comprehensive web scraping tasks including contact information retrieval and geolocation services.

Enables LLMs to query and analyze data across multiple MySQL databases with enterprise data federation, intelligent caching, cross-system analytics, and automated schema discovery for comprehensive business intelligence.