Documentation

Packages and downloads

Every DataNivra installable in one place — the agent image, Helm chart and install packages, the CLI, Python and TypeScript SDKs, the MCP adapter, contracts, industry pack bundles and the public examples — with install commands, verification and the manual for each.

The customer-resident agent

The agent runs inside your network and is the only DataNivra component that reads your data. Each release on Downloads provides:

WhatUse it forManual
Signed multi-architecture image ghcr.io/manuelbomi/datanivra-agent@sha256:… (linux/amd64, linux/arm64)every install method; deploy it by digestAgent installation
Helm chart and values fileKubernetes, with a restricted security context and NetworkPolicyAgent installation
Docker, Docker Compose, kustomize, Azure VNet and AWS VPC packagesone-command and infrastructure-as-code installsAgent installation
SHA256SUMS + cosign bundle, SBOM, release notesverifying what you deployAgent installation → Verify
Documentation packageoffline copies of the install runbooksincluded in each release

Optional: Isolated execution runs every row-level stage in a fresh container, gVisor sandbox or Firecracker microVM.

Command line, SDKs and MCP

All client packages are released together and follow Semantic Versioning; the contract packages carry the API version (v1 is 1.x).

PackageInstallManual
CLI datanivra-cli (Python 3.12 or 3.13)pipx install datanivra-cliCLI
Python SDK datanivra-sdkpip install datanivra-sdkSDKs and OpenAPI, SDK helpers
TypeScript SDK @datanivra/sdknpm install @datanivra/sdkSDKs and OpenAPI, SDK helpers
Contracts datanivra-contracts / @datanivra/contractsinstalled with the SDKsAPI overview
MCP adapter datanivra-mcp (stdio)pipx install datanivra-mcpTest data for AI agents (MCP)
Hosted MCP endpointno install: https://api.datanivra.com/mcp with a tokenTest data for AI agents (MCP)
OpenAPI 3.1 documentGET /openapi.json on the API, or the API referenceSDKs and OpenAPI

Checksums of each client release are published under Downloads.

Industry packs, examples and CI recipes

WhatWhereManual
Industry pack bundles (schemas, scenarios, policy templates, sample synthetic data)each pack's page under Industry Packsthe pack page itself
Public examples: CI pipelines, test-data API calls, MCP setups, integrations (MIT)github.com/DataNivra/datanivra-examples and Exampleseach example's README
CI recipes (GitHub Actions, GitLab CI, Azure DevOps, Jenkins, CircleCI)CI recipessame page
Test-data profilesTest-data profilessame page

Which manual for which task

TaskStart with
First steps, end to endGetting started
Install, verify, upgrade an agentAgent installation
Require stronger isolation of row-level workIsolated execution
Automate requests from code or CIUniversal Test Data API, CLI, CI recipes
Connect an AI agentTest data for AI agents (MCP)
Operate and troubleshootOperator runbooks, Troubleshooting, support center
Security reviewAgent protocol, Security, Known limitations

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