● decídalo MCP Server · The first AI-agent-native staffing platform

Resource management
that gets done for you

Every staffing question — who’s available, who has the skills, who to move where, which resume to send — used to mean stitching together data from five places. decídalo is the proven staffing platform for professional services firms; its MCP server lets Claude (or any MCP client) reason over that data and do the work — re-plan, research, draft, update. In minutes, not days.

Days → Minutes

for typical staffing work

One system

of record for skills, utilization, resumes

Any MCP client

Claude Desktop, Claude Code, Cursor

Book a 30-min demo

↓ See sample use cases

THE REALITY

What your resource manager actually spends their week on

Three scenarios every staffing lead in professional services recognizes — and where time quietly disappears.

“The plan just broke — now what?”

John is unavailable, which cascades into three reshuffles. Figuring out the right re-allocation means checking five projects, three calendars, and everybody’s skill profile. Usually takes a day.

“Nobody can answer how many people do we have on X in under 24 hours.”

Skill questions, bench reports, demand trends — the data exists, but pulling it together is an ad-hoc BI job every single time.

“Profiles are outdated, and there’s no time to chase them.”

Consultants gain skills on projects that never make it back into the system. Outreach is manual, inconsistent, and easy to drop.

WHAT THE AGENT DOES

decídalo + an agent that does the work

decídalo gives you the structured bench — skills, utilization, projects, profiles, resumes. The MCP server gives an AI agent the ability to operate on it.

1	Re-plans the plan. The agent reads active assignments, availability, skill-fit, and project-criticality, then proposes multi-hop reshuffles — move John off Alpha, Anna onto Alpha, split Beta 50/50 between two colleagues — with the trade-offs spelled out. You approve or adjust in chat.

2	Answers skill & bench questions in seconds. “How many Azure Security people do we have? Who’s on the bench next quarter? Which skills are heating up in demand vs. cooling off?” Structured queries, real staffing data, one prompt.

3	Closes the loop on profile quality. When a skill is missing or uncertain, the agent drafts a Teams or Outlook message to the consultant — you review, send, and the reply is written straight back into the profile. No more stale data.

Also handles: RFP resume generationHybrid AI + human staffingReal-time availability checksCompliance gap detection

USE CASES

Flagship scenarios, built on real reasoning

Each one runs against live decídalo data — not a simulated demo. Lead with the ones where agentic reasoning pays for itself first.

Complex re-planning (“ring swap”)

Multi-hop reassignments proposed in one prompt.

“Need an industry-Y senior. John fits but is on Alpha; his experience isn’t load-bearing there. Anna can take Alpha; split her current project 50/50 across two colleagues.”

Skill & bench intelligence

Instant answers to questions BI used to answer in days.

“How many Azure Security people do we have? What’s trending up in demand vs. down on the bench?”

Closed-loop profile maintenance

Identify the gap, ask the person, write the answer back.

“Emma probably knows this but it’s not on her profile. Draft Teams message → confirm send → Emma replies → update profile.”

RFP candidate matching & resume generation

Boolean search → fit matrix → 5 branded PDFs in 20 minutes.

Tight submission windows, custom compliance annexes, multiple tailored resumes — exported straight from decídalo with your template. RFP workflow →

Hybrid AI + human staffing

Skills your bench doesn’t cover? Propose an AI-assisted split.

“Project needs 2 COBOL specialists; bench has 0 → 1 AI agent for legacy analysis + 3 human architects, with a cost delta.”

Real-time availability & capacity

Availability and project-criticality checked in the same prompt.

“60% available in June, assigned to Project Omega through August — feasible part-time.”

HOW IT WORKS

From sign-on to shipping decisions in one day

New customers go live on decídalo and the MCP integration in the same onboarding.

Roll out decídalo with the MCP server included

Standard onboarding, SSO, tenant-scoped OAuth. You pick the platform that’s agent-native out of the box.

Point your AI agent at it

Add the MCP server to Claude Desktop, Claude Code, Cursor, or any MCP client. About 15 minutes.

Ask the question, or drop in the document

The agent returns a reasoned answer, candidate list, draft resumes, or outreach drafts. You review, edit, approve — writes happen on your say-so.

TECHNICAL CREDIBILITY

Built on open standards

For the evaluators on your team who want to know what’s under the hood before they trust the story.

Based on the Model Context Protocol (MCP)

The open standard for connecting AI agents to real systems. If your team already uses Claude, Cursor, or any MCP-compatible client, decídalo fits in natively.

Covers the full staffing surface

Candidate search, skill and certification lookups, availability and utilization, project history, resume generation and export, profile updates — every tool a resource manager needs, exposed through a single, permission-aware interface.

Security model enterprise teams expect

OAuth with tenant-scoped access; the agent inherits the user’s permissions, nothing more. Read by default; writes are opt-in per capability.

Outlook & Teams integration, human in the loop

Optional Microsoft Graph integration for outreach drafts. Domain-whitelisted, dry-run by default — the agent prepares, the human sends.

~15 minutes to go live

Once decídalo is provisioned, the MCP integration is a single configuration step in the client of your choice.

Full technical documentation available on request for evaluation teams.

Works with Claude · Google Gemini · ChatGPT / Codex · Microsoft Copilot

BUILT BY THE TEAM BEHIND DECÍDALO

The staffing platform consulting and professional services firms rely on — now the first of its kind ready for the AI-agent era.

Trusted by leading organizations around the world — including Fujitsu, T-Systems, and Computacenter — for skills, utilization, and staffing.

FAQ

Questions buyers typically ask

Do I need to already be on decídalo?

No. decídalo and its MCP server are sold as a bundle — new customers go live on the platform and the MCP integration in the same onboarding.

Does my data leave decídalo?

No. The MCP runs against your tenant; the agent only sees what a user with the same permissions would see. Nothing is trained on your data.

Which AI agents does this work with?

Any MCP-compatible client — Claude Desktop, Claude Code, Cursor, and others. The server implements the open Model Context Protocol, so it is not tied to a single vendor.

Can the agent actually change things in decídalo, or is it read-only?

Write scopes are opt-in per capability. By default the agent reads and drafts, and your team approves before anything is written back to the system of record.

Can the agent send emails or Teams messages on its own?

No. Outreach is always drafted for human review. Domain whitelists and dry-run mode are on by default — the agent prepares, the human sends.

How does re-planning handle constraints we haven’t explicitly told it about?

The agent surfaces its assumptions and trade-offs in the proposal — which people it would move, why, and what it’s holding constant. You accept, reject, or steer; the final decision is always yours.

What about GDPR, SOC 2, and data residency?

decídalo is operated in line with European data protection regulations, and your tenant’s data residency controls apply to the MCP layer as well. Talk to sales for the current compliance documentation pack.

What’s the setup time?

Adding the MCP server to an AI client takes about 15 minutes. SSO and OAuth are typically wired up the same day.

Stop discussing staffing. Start shipping decisions.

30 minutes, live against a sandbox tenant with your kind of data. Bring the messiest staffing question you have.