Enterprise Data and Context for AI Agents

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

Governed, task-specific MCP servers with just the right tools and context for each task.

Benchmark

Faster, more accurate, and token-efficient agents and chats.

Vendor MCP servers hand agents every tool and none of your business context. We tested Nexla task-specific servers against them on identical questions and live accounts, with every answer checked against independent ground truth.

32.7x

Per task

Less token usage
Hubspot IconHubSpot CRM MCP32.7
Nexla task-specific MCP1

Lower token usage

Less context wasted describing irrelevant tools.

4.7x

Per task

Fewer tool calls (median)
Google Ads IconGoogle Ads MCP4.7
Nexla task-specific MCP1

Lower latency

Fewer calls between the agent and enterprise systems.

100%

20 tasks

Answer accuracy
Google BigQuery IconGoogle BigQuery MCP90%
Nexla task-specific MCP100%

Equal or better accuracy

Relevant tools plus the right context. Accurate data read through the wrong context still gives wrong answers.

25x

Per task

Fewer errored tool calls
Avoma IconAvoma MCP25
Nexla task-specific MCP1

Fewer errors

Purpose-built tools mean fewer failed calls and retries.

How It Works

Ask in your AI client. Get answers you can trace.

Your agent finds the right server, pulls the context for the task, answers with live data, and takes action within policy. Every answer shows the context it used.


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Install

Pre-built servers for tasks you already run.

Each server ships with the tools and the context its task needs. Governed, and available across marketplaces.

  • Which renewals this quarter show falling usage?
  • Flag accounts at churn risk and list open P1 tickets.
  • Set up call with the executive sponsor for Westara.

Support ticket resolution

Jira logoSalesforce logoSnowflake logo
get_ticketfind_similarpost_resolution
ContextTicket-to-account mapping, resolution history, SLA tiers

Pipeline risk review

Snowflake logoSlack logo
list_pipelinesscore_riskalert_owner
ContextPipeline owners, freshness SLAs, downstream dependencies

Renewal intelligence

Salesforce logoZendesk logoData warehouse icon
get_accountusage_trendflag_churn
ContextRenewal definition, ARR source of truth, account-to-ticket mapping

Partner onboarding

SFTP logoAmazon S3 logoData warehouse icon
inspect_feedmap_schemavalidate_load
ContextPartner schema conventions, validation rules, load history

Compliance and audit

Datadog logoServiceNow logo
trace_lineagewho_accessedexport_evidence
ContextData classifications, access policies, lineage

Document intelligence

SharePoint logoAmazon S3 logoVector store icon
extract_fieldsclassify_docssearch_corpus
ContextDocument types, field definitions, retention rules
Works in

Claude logoClaudeChatGPT logoChatGPTMicrosoft Copilot logoMicrosoft CopilotCursor logoCursorMCP logoAny MCP client

Build

Need a server nobody built? Describe it to MCP Studio.

Describe the task. Nexla models what the task needs, scans the systems it touches, pulls the right context, creates the tools, and assembles one governed MCP server.

MCP Studio● building

What should your agent do?

Analyze customers at risk of churn using Salesforce, Snowflake, Zendesk and Gong.

  1. 01Understanding task
  2. 02Exploring your enterprise
    SalesforceSnowflakeZendeskGong
  3. 03Building task context
    Renewal definitionARR source of truthTicket mappingCall sentiment
  4. 04Creating tools

    —

Customer Churn MCP

8 tools · 4 systems · Ready ✓

Understand · Helix Context Engine

More context is not better context. The right context is.

Helix connects to your systems through Nexla connectors and learns what your data means: what each field is, which system is right, and how fresh it is. Then it serves only the context each task needs.

  • 01Ingest. Pull schemas, docs, and signals from your systems.
  • 02Understand. Merge duplicates, add meaning, flag what is stale.
  • 03Connect. Link related entries across systems.
  • 04Serve. Return scoped, ranked context to each task, with provenance.

Same Data, Different Answer.

Without Helix

cust_id_v2: 88213rev: 4210000updated: 14 months ago

Which customer? What currency? Still true? The agent answers anyway, with confidence.

With Helix

customer: Westara (Salesforce Account)ARR: $4.21M USD · finance sourcefresh: refreshed 2h ago

Canonical IDs, clear units, freshness, and provenance on every answer.

Illustrative example

Connectors give agents access.

Helix gives agents understanding.

Reach

1,000+ Connectors, and every one reads and writes.

Databases, SaaS apps, file systems, streams, LLMs, vector stores, and legacy systems. Agents read and write through the same connector, with identity verified on every request and every action logged.

Salesforce logoSalesforce
SAP logoSAP
Workday logoWorkday
ServiceNow logoServiceNow
Snowflake logoSnowflake
Databricks logoDatabricks
Oracle logoOracle
NetSuite logoNetSuite
AWS logoAWS
PostgreSQL logoPostgreSQL
Jira logoJira
Slack logoSlack
Microsoft 365 logoMicrosoft 365
HubSpot logoHubSpot
Stripe logoStripe
Amazon S3 logoAmazon S3
Kafka logoKafka
MongoDB logoMongoDB
BigQuery logoBigQuery
Redshift logoRedshift
Zendesk logoZendesk
Gong logoGong
Marketo logoMarketo
Mainframe / VSAM logoMainframe / VSAM
SFTP logoSFTP
Google Drive logoGoogle Drive
SharePoint logoSharePoint
Elasticsearch logoElasticsearch
Pinecone logoPinecone
Azure Blob Storage logoAzure Blob Storage
MySQL logoMySQL
IBM Db2 logoIBM Db2
Shopify logoShopify
Braze logoBraze
Looker logoLooker
Tableau logoTableau
Confluence logoConfluence
1,000+Bidirectional connectors
1T+Records and actions monthly
<1 weekMedian time to build a new connector
360°Context from data, documents, video, actions
Trust

Built to protect your data at every stage.

From ingestion to delivery, every agent action is scoped, verified, and logged.

Identity per request

Every call carries a verified identity, not a shared key.

Scoped tools

Agents get only the tools the task needs, nothing wider.

Lineage and audit

Every read and every action is logged and traceable.

Certified

Controls reviewed and certified against enterprise standards.

Certified and Compliant

SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA

End-to-End Data Protection

Deploy anywhere: Nexla cloud, private VPC, or on-premises.
Local data processing
Advanced secrets management
Continuous Security Vulnerability Testing

Customer Proof

Enterprise AI runs on enterprise data.

Recognized by industry experts.

Nexla helps enterprises overcome integration complexity and data quality challenges in AI, as recognized by Gartner and G2. Learn More About Nexla

Honorable Mention

Magic Quadrant for Data Integration

Recognized in

16 Gartner Hype Cycle Recognition ’24–’25

Identified as

Top-rated for Data Integration: ’22–’25

Identified as

Cool Vendor for Data Fabric

G2 Fall 2026 Momentum Leader
G2 Fall 2026 High Performer
G2 Fall 2026 High Performer Asia
G2 Fall 2026 High Performer Asia Pacific
G2 Fall 2026 High Performer India
G2 Summer 2026 High Performer
G2 Summer 2026 High Performer Asia
G2 Summer 2026 High Performer Asia Pacific
G2 Spring 2026 High Performer
G2 Spring 2026 High Performer Asia

One Platform

Everything AI agents need from a data platform.

Access

Reach anything

1,000+ enterprise connectors for SaaS, databases, warehouses, files, and legacy systems.

  • /Bidirectional
  • /Connector Builder
  • /Streaming and CDC

Understand

Give agents context

Schemas, relationships, metadata, semantics, lineage, and data quality signals through Helix.

  • /Helix knowledge graph
  • /Agentic Probe
  • /Document and multimodal

Deliver & Act

Let agents do work

Read and write enterprise systems through governed actions and task-specific MCP servers.

  • /MCP Studio
  • /Agent Data SDK
  • /Policy and audit

FAQs

Questions buyers ask first.

What is Nexla?

Nexla is the data connectivity layer for enterprise AI and a data platform for AI agents. More than 1,000 bidirectional connectors give agents real-time access to data and actions through governed, task-specific MCP servers. Helix, Nexla’s context engine, gives every task accurate context. Nexla processes over a trillion records a month for enterprises including DoorDash, LiveRamp, LinkedIn, and J&J.

What is a task-specific MCP server?

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.

What is MCP Studio and how do I build an MCP server?

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 free on Express.dev.

What is context for AI agents, and why make it task-specific?

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.

How does Nexla manage data access and security for multiple AI agents?

Every request carries a verified identity rather than a shared key. Policies are applied at the source, agents see only the tools their task needs, and every read and action is logged for audit.

Which systems does Nexla connect to?

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.

What makes Nexla different from traditional data integration platforms?

Nexla is built for AI agents: native MCP support, task-specific servers, bidirectional connectors, and a context layer that tells agents what the data means.

How do I try Nexla, and what does it cost?

Start free on Express.dev with no credit card. The Free plan includes 100 credits a month and up to 5 pipelines. Pro is $50 a month, billed annually, with 1,000 credits, up to 100 pipelines, and 24/7 support. Credits cover the work Nexla performs, so connectors and infrastructure aren’t billed separately. Enterprise plans add private deployment and custom terms. Talk to our team for a quote.

How long does it take to implement Nexla?

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.

Is Nexla secure and compliant for enterprise use?

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.

Why not build MCP servers and connectors in-house?

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.

Connect your agents to the systems your business runs on.

Give every task the right tools, context, and data.
Install a governed MCP server or describe one and Nexla builds it.