LangGrant Launches LEDGE MCP Server to Orchestrate and Govern Enterprise LLM Data Access
LangGrant, a leader in database modernization and synthetic data, has launched the LEDGE MCP Server, an enterprise database orchestration and governance engine designed to manage how large language models (LLMs) interact with structured and unstructured data. The platform acts as a control layer between LLMs and enterprise databases, enabling organizations to define access rules, enforce policies and monitor usage across AI-driven applications. LangGrant says the server removes friction between LLMs and enterprise data. It is intended to support retrieval-augmented generation (RAG) and agent-based workflows while reducing the risk of unauthorized access or data leakage.
As enterprises move LLMs from experimentation into production, data governance has emerged as a major challenge. LangGrant’s approach focuses specifically on LLM-to-database interaction with capabilities such as LLM governance, token dashboards, analytics plans, database cloning on demand and complete automated database context at scale. For security and data teams, the release reflects growing demand for infrastructure that treats AI access to data with the same rigor as traditional applications.
Posted by Pure AI Editors on 01/05/2026