Connect Your AI Agents to 1,000+ Systems. Give Them Context for Every Task.

Nexla is the data connectivity layer for enterprise AI. Over 1,000 bidirectional connectors give agents real-time access to data and actions over MCP. Nexla’s Agentic Data Integration handles high-volume streaming ETL, CDC, and Document ETL. At the core of the platform is Helix, a context engine that continuously learns from metadata, schemas, telemetry, and documentation to give agents accurate context and keep pipelines reliable. Nexla processes over a trillion records a month for enterprises including DoorDash, LiveRamp, LinkedIn, and J&J.

A task-specific MCP server gives an agent only the tools and context one job needs, across every system that job touches. Vendor MCP servers expose every tool for a single app with no business context. In Nexla benchmarks, task-specific servers used up to 32.7x fewer tokens and 4.7x fewer tool calls, with equal or better accuracy.

MCP Studio builds governed, task-specific MCP servers in conversation. Describe the task, and Nexla finds the relevant data across your systems, assembles the tools and context the task needs, and deploys a server your agents can call from Claude, ChatGPT, Copilot, or Cursor. Start from a pre-built server or build your own MCP on Express.dev.

Context is the business meaning behind data: the definitions, relationships, and rules that tell an agent what the data means. Different tasks need different context. A revenue analyst needs booking definitions and the fiscal calendar; a discount approver needs authority levels and margin thresholds. Collecting everything creates a context swamp of outdated and conflicting information. Helix, Nexla’s context engine, retrieves only the context a task needs, with provenance, so you can see what every answer used.

Every request carries a verified identity, not a shared key. Policies are enforced at the source, and each agent sees only the tools its task needs. Every read and write is logged with lineage, so security teams can trace which agent accessed what data, when, and under which policy.

Nexla connects to 1,000+ systems, including Salesforce, SAP, Workday, ServiceNow, Snowflake, Databricks, Amazon Redshift, HubSpot, and Microsoft 365, plus legacy systems like mainframes (VSAM), IBM Db2, and SFTP. Every connector is bidirectional, so agents can read and write. If a system isn’t in the library yet, the median time to build a new connector is under one week.

Nexla handles traditional workloads, including high volume ETL, CDC, streaming, APIs, and document ingestion, while extending those capabilities for enterprise AI. What sets it apart is 1,000+ bidirectional connectors, governed task-specific MCP servers, Helix context intelligence, and conversational pipeline and MCP building, connecting data, systems, and agents in real time.

A proof of concept can run in minutes, or 2 to 5 days with support. Production typically takes 1 to 2 weeks for simple use cases and 4 to 8 weeks for complex ones.

Yes. Nexla is SOC 2 Type II, ISO 27001, HIPAA, GDPR, and CCPA compliant, with encryption, role-based access, data masking, audit trails, and secrets management. Deploy in Nexla cloud, a private VPC, or on-premises to control where your data lives.

Building is the easy part. Maintaining connectors, governance, and context across hundreds of systems is the ongoing cost. Nexla provides 1,000+ connectors and governed MCP servers ready from day one.