Nexla

Founded by Saket Saurabh in 2017

Connect AI agents to enterprise data systems through governed model context protocol servers

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Nexla to connect artificial intelligence agents to internal databases, SaaS applications, and enterprise services through governed MCP servers. It allows you to generate task-specific tools that let agents read and write records across over a thousand systems like Salesforce, Snowflake, and Jira. The system scopes context to individual jobs so language models use fewer tokens and avoid errors. You can also run traditional ETL, streaming, and data pipelines, trace data lineage, and enforce security policies across every agent request.

What Nexla does

Build custom MCP servers from plain English promptsConnect internal databases to LLM clientsCreate bidirectional automated data pipelinesTrack and audit data access requests by automated agentsMap schemas across disparate business applicationsMask sensitive enterprise data before model consumptionInspect and validate partner data feedsOver 1,000 bidirectional read and write connectors for cloud and legacy systemsConversational MCP server builder to generate task-scoped agent toolsHelix context engine that ranks and matches business context to agent queriesPer-request identity verification and role-based access for agentsBidirectional data support for ETL, ELT, reverse ETL, CDC, and streamingFull lineage tracing and audit logging for agent read and write actionsFlexible deployment across Nexla cloud, private VPC, or on-premises environments