"Zoho - Business and Productivity Software" matching MCP servers:

Exposes the Zoho Analytics API v2 as an MCP server, enabling Claude and other clients to query, manage, and analyze Zoho Analytics data through natural language.

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.

A tool for SHACL-based assessment, comparison, and coverage analysis of digital passport data models, designed for AI-agent orchestration.

Enables an AI assistant to query existing business systems through narrow typed tools, stage and confirm gated writes, and verify stated figures against source data with freshness checks.

Enables AI agents to create and edit Zoho Analytics chart reports, run SQL queries, and browse workspaces and views using natural language.

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

Exposes a synthetic issue tracker and pipeline warehouse as callable tools so an agent can answer operational questions about tickets, pipeline health, runs, incidents, and governed metrics with every claim cited to the exact tool call it came from. All writes are proposal-only, requiring human approval through a gated apply path that logs each step for audit.

Enables users to convert a vendor partner directory (such as PartnerPage or the Shopify Partner Directory) or a trade body member list into one company row per listing, each carrying website, domain, tier, tags, and location for Clay-ready output. It runs the extraction on Apify, returning dataset rows for up to 20 directory URLs with optional deduping, detail enrichment, and a cost cap.

MCP server for Coalesce that manages nodes, pipelines, environments, jobs, and runs, and enables project validation, DDL/DML preview, deployment planning, and cloud environment application.

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 agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Exposes local DuckDB pizza sales data as MCP tools for querying store-level and total sales metrics via natural language, enabling local LLMs to perform real-time analytical queries.

Enables AI to interact with Microsoft Access (.mdb, .accdb) and SQLite 3 databases, including read-only support for Access 97 databases. Supports executing SQL queries, importing/export data from CSV and Excel files, and storing notes about database files.

Enables users to list, create, and update agencies and codelists in a Fusion Metadata Registry through MCP tools served over Streamable HTTP.

Provides stock market data and computes technical indicators like EMA, MACD, and RSI across multiple timeframes using the LongPort API and TA-Lib. It enables users to perform detailed financial analysis and multi-timeframe market reviews through standard MCP tools.

Enables schema-aware exploration of JSON data by uploading samples, flattening nested structures, and using heuristic search with token overlap and fuzzy matching to find field paths for target names, accelerating ETL and API onboarding workflows.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

MCP server that exposes Chronova developer productivity data to AI agents. Built on the Model Context Protocol, it lets tools like Claude Desktop, Cursor, and OpenCode query your coding stats, activity, and AI-assisted coding metrics.

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.

Coupler.io MCP server lets AI assistants query business data from 400+ apps in natural language. The data is blended and kept up to date by Coupler.io, a reporting automation platform for business teams.

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

An MCP server that lets Large Language Models interact with Stata software to perform regression analysis and other statistical operations.

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.

Ontology engineering from business tables and documents: an LLM drafts objects and relations, code checks them against the rows, a human confirms. Exports OWL/SHACL Turtle; 32 tools.

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.

A fail-closed MCP verification layer for DFT-to-MLIP workflows, gating Quantum ESPRESSO data ingestion, MACE/RuNNer dry-run command plans, model comparison, and reference validation behind scientific, software, and numerical checks with explicit PASS/WARN/FAIL/QUARANTINE/NOT_RUN statuses.

Enables AI agents to securely explore and query connected databases and business tools through MCP, with access controls, semantic schema metadata, memory, and streaming or CSV export of large results.

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.

A hosted remote MCP server that connects marketing platforms such as Google Ads, GA4, Search Console, Meta Ads, Microsoft Ads, LinkedIn Ads, TikTok Ads, and Google Business Profile, enabling plain-English performance analysis, KPI and budget tracking, report creation, and previewed account changes.

This server allows users to query GoContact business data using natural language instead of relying on manual reports. It retrieves, cleans, and correlates data across leads, calls, and sales to enable data-driven decision-making.

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.

Cross-source attribution across 37+ business tools. True ROAS in 14 seconds. Not a dashboard. A decision.

Enables AI agents to retrieve governed business metric definitions and compiled SQL through MCP-style tools, so they can query consistently under their own read-only roles without guessing joins or metric logic.

Enables AI agents to search, explore data lineage, understand business context, and generate SQL queries across an organization's data ecosystem.

A Model Context Protocol (MCP) server that keeps the books for your personal and business finances using double-entry accounting — driven entirely from an LLM.

Lets MCP clients safely investigate live business data across multiple enterprise APIs by giving each subject a consistent scoped pseudonym and surfacing disagreements between sources as findings.