Nora IPLM MCP Server: Your product knowledge. Your AI assistant. Connected.
Bring your product data into your AI workflows. Connect compatible AI assistants to product records, structures, files, workflows, and engineering knowledge. Find information, compare revisions, explore relationships, and carry out authorized changes within your existing permissions.
records
knowledge
workflows
Move from questions
to informed action.
Product work spans records, documents, relationships, and tasks. Finding an answer often means gathering information from several places before deciding what to do next.
Through the Model Context Protocol, the Nora IPLM MCP Server gives compatible assistants structured access to that context and supported tools to act on behalf of an authenticated user.
Investigate where a component is used. Compare product structures before a change. Find supporting documents. Update records, progress eligible workflows, and manage connected Jira issues in the same conversation.
Your product context.
Ready for the next question.
Explore information, prepare decisions, and act through supported operations. Expand each area to see the available capabilities.
Explore your product data with context.
Find accessible records, compare revisions, and follow the relationships that give product information meaning. Explore parent and child structures and investigate where a component is used.
Search, structures & catalog
Product search and historyInspect attributes, review history, list revisions, and compare objects.
Catalog discoveryExplore readable object types, attribute and relationship definitions, lifecycles, and states.
Product structuresExplore parents, children, and where-used relationships; compare structures and make controlled changes to structure items.
RelationshipsExplore connections, validate relationships, and create, update, or remove authorized links.
Connect knowledge to engineering work.
Search indexed knowledge and file contents, retrieve relevant excerpts, and find documents attached to product records. Give your assistant supporting information in the context of your work.
Files, documents & knowledge
Files and documentsFind attachments, obtain download links, initiate uploads or eligible content replacements, and manage attachments.
Knowledge discoverySearch indexed knowledge and file contents, retrieve relevant excerpts, and request indexing of authorized sources.
Controlled downloadsShort-lived, single-use links deliver files after an access check.
Carry out changes through controlled operations.
Create, copy, and update product records. Maintain structures and progress eligible lifecycle actions through validated operations that follow configured rules and user permissions.
Product data & lifecycle management
Product data managementApply bounded bulk updates, manage reservations, and recycle or recover eligible objects.
Lifecycle managementDiscover available transitions, change states, promote or demote objects, and create revisions or iterations using configured lifecycle rules.
Keep product work and connected tasks in context.
Identify available processes, inspect outstanding tasks, and carry out authorized workflow actions. Bring product information and issue context together through your configured Jira connection.
Workflows, Jira & collaboration
WorkflowsDiscover workflows, inspect tasks, start eligible workflows, complete authorized tasks, and execute supported product commands.
Jira integrationSearch issues, inspect project context, create or update issues, add comments, and apply available transitions.
CollaborationRead and add object comments, manage subscriptions, and review or update notification read status.
Turn existing reporting into accessible answers.
Run supported reports and saved filters through your assistant. Export results for a team discussion, save useful filters for recurring questions, and organize records for your next review.
Reporting, organization & access context
ReportingRun supported reports and saved filters, export results, and manage personal saved filters.
Personal organizationAccess recent records and searches, organize records into private collections, and manage favorites.
People and access contextFind discoverable colleagues, inspect groups and workspace membership, and check effective permissions.
AI-assisted work.
With control built in.
Authenticated user identity and scoped permissions carry through to tool execution. Operations remain subject to access checks and the rules of your platform.
- 01 / Preview
Validate the proposed change.
Dry runs validate proposed changes and capture the relevant current resource revisions before execution.
- 02 / Confirm
Tie confirmation to the operation.
Mutations require server-verified confirmation evidence tied to the proposed operation.
- 03 / Check and execute
Check the resource state.
Execution verifies expected revisions to help prevent changes based on outdated information.
Idempotency keys govern retries and prevent the same request from being applied repeatedly.
MCP write operations require auditing.
Short-lived, single-use transfer links keep file delivery separate from tool metadata.
Administrators can configure focused capability profiles. Available tools depend on the enabled profile, granted scopes, and user permissions.
Start with the questions your team already asks.
These example prompts illustrate how a compatible assistant can use Nora IPLM MCP capabilities. Each request remains subject to the tools and data available to the user.
Bring your workflow to a demo- Investigate dependencies“Where is this component used, and how do these two structures differ?”
- Find supporting evidence“Find the indexed documents that mention this requirement and show the relevant excerpts.”
- Prepare a controlled change“Preview an update to these selected product records.”
- Review connected work“Find the Jira issues matching these filters and summarize their status.”
Explore 7 more example prompts
- “Find this component and show its attributes and revision history.”
- “Compare these revisions and summarize the changed attributes.”
- “Show the files attached to this product record.”
- “Show the available lifecycle transitions for this object.”
- “List my workflow tasks and show the details of this task.”
- “Run this saved report and export the results.”
- “Create a private collection for the records I’m reviewing.”
A few practical questions.
What does the MCP Server connect?
The Nora IPLM MCP Server connects compatible AI assistants to supported product records, relationships, structures, files, knowledge, and operations through the Model Context Protocol.
Can an assistant access all product data?
Access is governed by the authenticated user’s permissions. The enabled capability profile and granted scopes also determine which tools are available.
Can an assistant make changes?
Yes, through supported, authorized operations. Controlled changes use dry-run validation, server-verified confirmation evidence, revision checks, idempotency keys, and auditing.
How does Jira fit into the workflow?
Through the configured Jira connection, an assistant can search and inspect issues, create or update them, add comments, and apply available transitions alongside product work.
Product knowledge.
Engineering action.
One conversation.
Connect AI assistance to the records, relationships, documents, and processes your team works with, supporting informed answers and controlled action within your existing permissions.