Announcing Remote MCP

Give every AI agent evidence-grade customer value context.

Minoa's Remote MCP Server turns your customer value system of record into secure, queryable context for any agent or workflow - so outputs are specific, provable, and revenue-driving.

Defensible outputs

grounded in outcomes, proof points, and benchmarks

Works where you work

connect value context into AI tools your team uses

Compounds over time

every deal improves the next business case

Request early access
DustVantaBenchling

AI isn't the bottleneck - missing value truth is.

GTM teams are rolling out AI, but the outputs break down when the questions get real:

?

What value has this customer actually realized?

?

What proof can we cite with confidence?

?

What's the next best expansion play - and why?

Without a governed system of record for customer value, AI responses stay generic, inconsistent, and risky.

The solution

Minoa is the customer value system of record - now available to every agent.

Minoa captures and organizes the value your customers achieve - value hypotheses, outcomes, evidence, and benchmarks - then makes it usable across your workflow.

Remote MCP is how Minoa becomes a shared "value brain" behind every assistant and agent.

What is MCP?

MCP (Model Context Protocol) is an open standard that lets AI assistants connect to external systems and tools. With Remote MCP, assistants can securely query Minoa's governed value context - without copy-pasting data, rebuilding prompts, or maintaining custom integrations per agent.

Two-way value flow

Build the value record once - use it everywhere.

1

Ingest

Bring signals into Minoa

  • Pull in customer signals, proof points, and benchmarks from your existing sources
  • Normalize value language across products, segments, and personas
  • Turn scattered notes into reusable value assets and evidence
2

Serve

Serve value context to any agent

  • Let assistants generate exec-ready assets grounded in customer reality
  • Standardize how your org explains value - across sales, CS, and leadership
  • Power recommendations: next-best value target, expansion path, renewal narrative

What your team can generate immediately

Executive Value Brief

Outcomes achieved, quantified impact, proof points, next targets

ROI Model

Assumptions, benchmarks, scenario ranges, and defensible narrative

Mutual Value Plan

Validation milestones, evidence checklist, timeline, owners

QBR Narrative

Value realized vs. baseline, story arc, priorities, expansion angles

Value Coaching Prompts

Discovery lines, value framing, objection handling grounded in outcomes

Expansion Play Suggestions

"Accounts like this expanded via…" with supporting rationale

Every output is grounded in your value record - not vibes.

Launch examples
Use case 1 - Agent orchestration with consistent value context

Many agents - one source of value truth

When multiple agents run across teams and workflows, consistency is the problem. Minoa provides a shared, governed value context so every agent speaks the same value language and cites the same proof.

  • Standardized business-case components (value hypotheses, proof requirements, ROI ranges)
  • Value briefs generated in workflow - grounded in the same evidence base
  • Consistent "why we win" insights across segments and deal motions
Use case 2 - AI coaching that improves value-selling fluency

Make reps better at value - faster

Coaching works when it's specific. With Minoa context, coaching agents can guide reps to connect customer priorities to measurable outcomes and credible proof.

  • Practice discovery and value framing tied to outcomes that actually convert
  • Prompt AEs to build business cases at the perfect time, based on sales cycle data
  • Improve consistency across managers, regions, and ramp cohorts
Use case 3 - Stronger business cases with richer internal context

Business cases that feel real - because they are

The best business cases combine customer context, benchmarks, and internal signals. Minoa turns that into a structured value record that agents can reliably use.

  • Pull together signals into defensible narratives and ROI models
  • Produce exec-ready docs without hunting across systems
  • Reuse what works across industries, segments, and deal types

What partners are building

"Remote MCP lets our agents pull consistent, governed value context - so outputs stay reliable at scale."

"This brings value coaching closer to the rep workflow - grounded in what actually resonates with buyers."

"Business cases get materially stronger when value evidence is structured and reusable."

Security and governance

Built for enterprise trust

Permissioned access to value records and underlying evidence
Consistent value taxonomy across teams
Auditability: know what an agent used and why
Designed for controlled rollout across GTM functions

Make your AI outputs provable - and your value motion repeatable.

If your team is investing in AI, Remote MCP is how you ensure it's grounded in customer value reality.

Request early access

Early access includes supported onboarding and example workflows.