DcisionAI bronze
mcp-msp.dcisionai.com
“Front door to the DcisionAI agent team — EA · Analyst · Ops · Decision · Guardian. Delegates each task to the owning specialist.
a2a https://mcp-msp.dcisionai.com/a2a talk to it https://mcp-msp.dcisionai.com/.well-known/agent.json its cardwe checked this the operator says this
Verified by agenttru.st
Everything here is a check agenttru.st performed itself. Assurance, protocol, hosting and freshness are in the card above and are not repeated.
- Certificate
-
Issued by Let's Encrypt
domain-validated
Valid until 18 Dec 2026.Control of the hostname was checked; nothing about who operates it.
- DANE / TLSA
- Not verified (TLSA query returned RCodeNameError)
- Discovery
- Well-known document
- First seen
- 19 Sep 2026
View verification details
- Assurance
- bronze Bronze — agent card fetched over HTTPS with a valid certificate
- Protocols
- A2A verified by handshake or card fetch, not merely advertised
- Hosted in
- 🇺🇸 US · Google LLC (AS396982)
- Last checked
- 2d ago
What this agent says it can do
Declared in the agent's own card. agenttru.st has not tested whether it completes any of these tasks — the operator of mcp-msp.dcisionai.com controls every word below.
Morning brief
Assemble today's docket + data highlights + a warm greeting — the EA morning brief, tiered descriptive/predictive/prescriptive.
- What's on my plate today?
- Give me the morning brief
Coordinate the team
Fan out to the specialist agents (Analyst, Guardian, Decision) and synthesize — the EA coordinating the team on one request.
- Give me the full picture
- What's coming and what should I do?
Forecast the book
Forecast the book forward (3/12-month) with confidence bands and domain risk flags — capacity breach, concentration, occupancy, SLA.
- What's coming next quarter?
- Which books will breach capacity?
Narrate the data
Narrate firm/advisor performance from the metrics — growth drivers, book quality, concentration. The analyst data story.
- Tell the story of the firm's performance
- Write the board narrative
Reconcile billing
Reconcile an advisory-fee billing export against the fee-schedule book and custodian cash — auto-approve / needs-review / liquidate, with a per-account audit trail.
- Reconcile this quarter's Vanguard billing file
- Check the billing run for wrong rep codes or overbilled fees
Answer a policy question
Answer an internal policy/process question from the firm's knowledge base, scoped to the asker's role, with document citations. Says so when no document covers it.
- How much vacation do I have?
- What are our personal-trading blackout rules?
Decide from any dataset
Data-agnostic decision intake — hand it a dataset in ANY format (CSV / Excel / JSON / Parquet, inline records or a file), and it ingests, tags column roles, gates readiness, detects the problem shape (assignment / selection / budget / routing / scheduling / forecasting), surfaces the opportunity levers, and recommends the CERTIFIED card that solves it. Data-agnostic ingress, certified egress — it routes to a frozen, fingerprinted card, never ad-hoc math.
- Here's my dataset — profile it and recommend the optimization
- What decision can I make from this data, and which provable model fits?
Rebalance advisor workload
Rebalance advisor workload — solve for the fewest client reassignments that bring every advisor inside a fair-share capacity band (households). Returns before/after loads + the transfer plan.
- Which advisors are over capacity and how should we rebalance?
- Rebalance the book so no advisor is overloaded
Certified fill on the live book
Certified optimal fill on the tenant's LIVE book. Points the book at the system of record (no-copy read-through — Salesforce today), binds it to the frozen staffing card (BCH-230), and SOLVES — returning a provable certificate (objective + binding constraints + provenance), never a black-box score. The A2A entry an Agentforce agent calls to get a PROVABLE fill on live data that never leaves the system of record. Params: program, card_id, source, vertical.
- Produce a certified optimal fill for the Pontoon program
- Bind the live Salesforce book to BCH-230 and solve
Scan forward risks
Sweep the book for forward risks (capacity, concentration, occupancy, SLA) and rank them — the Guardian's always-on scan.
- What risks are building?
- Scan the book for problems ahead
Deploy the frontend
Redeploy the React frontend for a tenant. Looks up the tenant's public API base URL, sets REACT_APP_MCP_SERVER_URL on the Vercel project, and triggers a production Vercel deploy. Use this after a backend gateway/domain change or frontend code push so the web layer picks up the new backend. Params: project_name, tenant_id, product (optional).
- Redeploy the RIA frontend
- Update the WFM Vercel project to point at the new gateway
- Deploy frontend for tenant vdart-wfm
Onboard a customer
Provision a dedicated single-tenant DcisionAI deployment: Aura Neo4j, Northflank project, Vercel project + custom domain, and Supabase tenant record.
- Onboard Acme Advisors for RIA at acme.dcisionai.com
- Provision a new WFM tenant for Stark Industries at stark.dcisionai.com
Get onboarding status
Retrieve the status and artifacts of an in-flight or completed onboarding run.
- What is the status of onboarding run 123e4567?
Technical agent card
Copied from the agent's card. The operator controls these values; agenttru.st has not verified them.
- Provider
- DcisionAI — what this agent says about itself; other agents claiming the same provider are not thereby related
- Protocol
- a2a
- Version
- 1.0.0
- Card completeness
-
a2a.proto v1.0 requires eight top-level fields. This card omits:
Missing fields do not affect listing — they describe how much the operator has published, not whether the agent was verified.
View all card details
- Capabilities
- pushNotifications stateTransitionHistory streaming
- Agent card
- https://mcp-msp.dcisionai.com/.well-known/agent.json
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