saascode
education & learning·run 098 · May 2026

Knowledgeport

A tenant-scoped MCP catalog that lets authenticated work assistants retrieve source-linked training, handbooks, procedures, and policies with role context, freshness controls, and human escalation.

Genesis score0.00/10
Make Knowledgeport real.0/500
500 more votes and Knowledgeport is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The case

An enterprise integration between a learning catalog and an enterprise-search assistant validates the delivery surface, while the research found no comparable self-serve mid-market product. Knowledgeport must preserve the boundary between employee question, identity, role context, source document, retrieved passage, ranking, generated explanation, recommendation, enrollment request, completion record, manager decision, and workplace outcome.

Who pays — and why

A learning, people-operations, knowledge-management, enablement, or IT leader at a company with roughly one hundred to one thousand employees that already has fragmented handbooks, courses, procedures, and employee assistants. Exact role, workforce, content systems, assistant surface, budget, and current search workflow remain incomplete.

Market signalThe research describes the closest enterprise-search category as carrying very large enterprise contracts, while no self-serve mid-market equivalent or validated price for this product was established.Observed market reference, not fixed product pricing
What it unlocks
A tenant-scoped catalog for handbooks, courses, procedures, policies, owners, versions, effective dates, jurisdictions, audiences, permissions, prerequisites, expiry, and source URLs
Read-only tools that return permitted source passages and training candidates with provenance, freshness, confidence, role context, and an explicit unknown or escalation state
Separate recommendation, enrollment proposal, manager or learning-team approval, provider command, acknowledgement, destination readback, completion evidence, and correction
Usage analytics that measure retrieval quality and content gaps without converting employee questions, reading behavior, or course activity into hidden performance or employment scoring
How Genesis scored it
0.00across seven criteria
tension 6temporal 7blindspot 7buyer 7leverage 8convergence 5why-not 4
8
Asymmetric leverage

Tool contracts, ingestion adapters, permission rules, and evaluation suites can be reused across customers, while content cleanup and access mapping remain material.

7
Temporal window

A recent enterprise integration and broad protocol adoption create a current window for assistant-native learning retrieval.

4
Why nobody did it

The open protocol and enterprise example clarify the surface, but no newly broken ingestion, permissions, or content-governance barrier is established.

Why it scored well

A confirmed enterprise learning-and-search integration validates the assistant-native surface, an open protocol offers reusable distribution, and customer-specific content plus role context can create switching cost.

What's holding it back

The stored score is zero. Only one interface reference was present and it was unverified in the original record, the buyer and content substrate are incomplete, no mid-market equivalent found is not proof of demand, and incumbent learning, search, intranet, and assistant vendors can add similar retrieval.

Signals detected3 sources crossed
SignalUdemy and Glean integration review

SignalGlean administration documentation

SignalGenesis competitive review

Direction briefknowledgeport.md
knowledgeport.md
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