Bring your Intake-to-Pay intelligenceinto every AI assistantyour finance team already uses.
The Blackbee AI MCP Server connects Claude, ChatGPT, Perplexity, and Gemini to your live financial control layer, so when your CFO asks “what's my cash exposure this quarter?”, the answer comes from your real spend, contracts, and approvals. Not a guess. Not a generic model. Your numbers, governed and grounded.
The integration layer
between Blackbee AI
and your AI assistants.
MCP (Model Context Protocol) is the emerging open standard for connecting AI assistants to real systems and real data. The Blackbee AI MCP Server puts that standard to work for finance.
It sits between your Intake-to-Pay control layer and the AI tools your team already opens every day. When someone asks an AI assistant a question about spend, vendors, contracts, approvals, or cash flow, the MCP Server retrieves the answer directly from Blackbee AI, validated, permissioned, and current to the minute.
The result: the general-purpose AI tools already on your team's desktops start answering finance questions from your institutional truth, instead of guessing from generic training data or waiting on someone to pull a report.
Your finance team is
already asking AI.
Right now, it's guessing.
Ask any AI assistant “which of our vendors is the biggest concentration risk?” today and it will do one of two things. It will invent a plausible-sounding answer with no connection to your data. Or your team will paste sensitive vendor and payment data into a public chatbot to get a real one, creating a compliance exposure no controller would sign off on.
Meanwhile, the answer already exists. It's sitting inside Blackbee AI: scored, reconciled, and reasoned over by eight specialist agents. It's just trapped behind a login, in a dashboard nobody has open during the meeting where the question actually gets asked.
of finance functions will deploy at least one AI-enabled solution by 2026, the tools are already in the building.
of finance teams will use agentic AI in 2026, a 600% jump year over year, adoption is accelerating fast.
of AP teams still spend 10+ hours a week on manual processing, exactly the questions people ask AI.
The gap isn't AI adoption. It's grounding. Your team has the assistants. What they're missing is a governed line back to your real financial state.
Query the output of
eight specialist agents
from wherever you already work.
Blackbee AI isn't a document library. It's an active decision and control layer that runs above your ERP, starting at spend intent and following every dollar through to payment. Eight specialist agents capture intake, govern commitments, read contracts, route approvals, score vendor risk, validate invoices, forecast cash, and post validated decisions back to your ERP. The MCP Server exposes that intelligence, read-only and permission-scoped, to any MCP-compatible AI assistant.
Ask in plain language.
Someone types a finance question into Claude, ChatGPT, Perplexity, or Gemini.
The MCP Server interprets and routes it.
It maps the question to the right Blackbee AI agents and data.
Blackbee returns validated, current data.
Not a snapshot from last quarter, live spend, live risk scores, live approval status, reconciled against your ERP by the Integration Agent.
The assistant answers, grounded and traceable.
Every response is drawn from your governed financial truth, with the source data behind it.
No exporting. No copy-paste. No switching systems. And nothing sensitive leaving your control boundary.
Blackbee's Integration (Sync) Agent posts validated decisions into your ERP. The MCP Server brings Blackbee's intelligence out to your AI assistants. Two directions, one control layer, your ERP stays the system of record, Blackbee stays the decision layer above it.
What your team can
actually do with it.
The power isn't in one clever query. It's that every role in finance can now self-serve answers that used to require a dashboard, a report request, or a Slack to the one person who knows.
For the CFO
Real-time answers, not quarterly reports.
"What’s my projected cash outflow over the next 30, 60, and 90 days?"
Grounded in live payment patterns from the Spend Intelligence Agent.
"Summarize this month’s spend anomalies before the board meeting."
A plain-English briefing built from flagged, real transactions.
"Which vendors are my top concentration risk, and how has that shifted this quarter?"
"Draft the spend narrative for the board deck using our actual numbers."
The assistant writes; Blackbee supplies the truth underneath it.
In the meeting, not after it.
Answer the exec’s spend question live, without leaving the room to pull a report.
Grounded drafting.
Let Perplexity build the research or Claude draft the memo, with Blackbee supplying validated figures so nothing needs a second pass for accuracy.
A governed alternative to shadow AI.
Give finance a sanctioned way to ask AI real questions, so sensitive data stops flowing into public chatbots.
Works with the assistants
your team already trusts.
Because the MCP Server speaks an open standard, it isn't tied to a single vendor. Connect the tools you use today, and the ones you adopt next.
Claude
Bring your Intake-to-Pay data into Claude for the high-stakes analytical work: cash flow reasoning, exception pattern analysis, board-ready spend narratives, and audit trail assembly. Claude does the thinking; Blackbee grounds every figure in your governed financial state.
ChatGPT
Give your team a fast, in-flow way to ask real finance questions — vendor lookups, approval status, spend breakdowns, without leaving ChatGPT and without pasting confidential data into a public model.
Perplexity
Give finance a research-grade answer engine that cites its sources. Pull live Blackbee AI data into Perplexity’s search and reasoning flow, so every finance answer arrives with the governed data behind it.
Gemini
Bring governed Intake-to-Pay intelligence into Google Workspace, so finance answers surface right where your team is already working.
Not a content library.
A live control layer.
Most MCP connectors expose a folder of approved documents. Useful, but static. Blackbee exposes something no document library can: the current, reasoned-over state of your money in motion.
Live, not archived.
Spend, vendor risk, approval status, and cash forecasts update continuously. You’re querying today’s reality, not last quarter’s PDF.
Grounded in your ERP truth.
The Integration Agent reconciles Blackbee’s data against your system of record, so answers reflect what actually posted, not what someone typed into a slide.
The output of eight agents, not a keyword search.
You’re not retrieving a paragraph. You’re querying data that’s already been validated, confidence-scored, risk-rated, and checked against contract terms.
Governed by design.
Role-based permissions, read-only scope, and a full log of every query. Finance-grade control, so the CFO and the auditor are both comfortable.
Standard, not locked-in.
One open protocol connects every MCP-compatible assistant, so your AI stack can evolve without re-integrating.
Built for finance data,
which means built for control.
Finance can't adopt what it can't govern. The MCP Server is designed so that opening your Intake-to-Pay intelligence to AI assistants tightens control rather than loosening it.
Role-based access.
People query only what their role permits, the same permission model that governs Blackbee AI itself.
Read-only by default.
The MCP Server surfaces intelligence; it doesn’t let an assistant move money, approve invoices, or change records.
Full query audit trail.
Every question and every answer is logged, so you always know what was asked and what was returned.
Inside your boundary.
Sensitive vendor and payment data stays governed within your control layer instead of being pasted into public tools.
MCP (Model Context Protocol) is an open standard for securely connecting AI assistants to real systems and data. The Blackbee AI MCP Server uses it to give assistants like Claude, ChatGPT, Perplexity, and Gemini governed, read-only access to your Intake-to-Pay intelligence.
No. Blackbee AI runs as a decision and control layer above your ERP, and your ERP stays the system of record. The MCP Server simply makes Blackbee’s intelligence available inside your AI assistants.
Yes. Access is role-based and read-only, sensitive data stays inside your control boundary, and every query is logged for audit. The MCP Server is designed to give finance a governed alternative to pasting data into public chatbots.
Any MCP-compatible assistant, including Claude, ChatGPT, Perplexity, and Gemini. Because it’s built on an open standard, it isn’t locked to a single vendor.
No. The MCP Server is read-only. It surfaces validated intelligence for people to act on; it does not execute financial actions. Decisions and approvals stay inside Blackbee AI’s governed workflows.
Those expose static approved documents. Blackbee exposes your live financial state — current spend, vendor risk, approval status, and cash forecasts — already validated and reasoned over by eight specialist agents.
Mid-market finance teams — CFOs, Controllers, VP Finance, AP Managers, and Procurement Leaders — running Blackbee AI above NetSuite, Sage Intacct, Dynamics 365, Workday, or SAP.
Your team already has the AI.
Give it something true to say.
See how the Blackbee AI MCP Server turns the assistants on your team's desktops into a governed window onto your real financial state.
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