"Cinema 4D" matching MCP servers:

Enables authenticated users to manage paper-trading accounts, place and cancel orders with simulated fills, view positions and P&L, search instruments, fetch bars, and run quant-strategy lifecycles over stdio or streamable HTTP.

Consolidated MCP server exposing 161 tools across 9 groups to manage a layered data platform (financial, economic, statistical) backed by a single SQLite file, with data fetching delegated to an upstream semantic fetcher.

Enables interaction with Apache Pulsar clusters through MCP-compatible clients, supporting publish, consume, topic management, and connector operations.

MCP server for Lakehouse42, enabling code-first tool discovery, hybrid search, document management, and Iceberg time-travel queries with optimized responses.

Provides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.

Enables AI assistants to query and interact with Treasure Data through a secure interface, supporting SQL queries, database exploration, CDP segment management, and workflow monitoring across multiple regions.

Enables LLMs to interact with Google Analytics 4 data through the Google Analytics Data API, supporting standard reports, real-time data, and metadata retrieval.

An MCP server that turns Teradata Vantage into a full-stack analytics agent platform, providing AI agents with structured knowledge of Teradata's native functions for correct and optimal SQL analytics.

A comprehensive integration for Google Analytics 4 providing 54 tools for advanced reporting, configuration management, and compliance. It enables AI platforms to interact with GA4 data, manage properties, and automate business intelligence through the Model Context Protocol.

Enables MCP clients to parse, build, edit, and validate 1C Data Conversion 2 exchange rules (ПравилаОбмена 2.01, registration and correspondent rules) against configuration metadata, including matching hints, XML round-trip editing, reverse-direction drafts, and pre-transfer checks.

Enables integration between HRMS systems and Snaplogic through the Model Context Protocol, allowing AI assistants to interact with HR data pipelines.