Simtheory
공식모델 전환, 어시스턴트 및 에이전트 모드를 지원하는 MCP 클라이언트입니다.
Simtheory MCP(으)로 무엇을 할 수 있나요?
- 다단계 작업 위임 — CRM 기록 업데이트나 회의 일정 조정 같은 작업을 조사, 초안 작성, 실행하도록 어시스턴트에게 요청하세요. Simtheory의 에이전트 워크플로를 통해 가능합니다.
- 연결된 데이터 소스 조회 — AI에게 Snowflake, Databricks, SharePoint 같은 통합 시스템에서 실시간 인사이트를 가져와 이탈 분석이나 매출 추세를 파악하도록 지시하세요.
- 작업 중간에 모델 전환 — 대화를 재시작하지 않고도 어시스턴트가 단계별로 최적의 모델(예: 분석에는 Opus, 초안 작성에는 GPT)을 사용하게 하세요.
- 반복 보고서 자동화 — 선택한 주기에 따라 자율적으로 실행되는 주간 영업 요약 같은 예약 작업을 설정하세요.
- AI 작업 추적 — 에이전트가 수행한 모든 작업의 감사 추적을 검토하여 위임된 작업 전반에 걸쳐 거버넌스와 규정 준수를 보장하세요.
문서
Trusted across education, enterprise, and government
Your employees are already using AI. You just can't see it.
Right now, your employees are using AI tools on personal accounts. They're uploading sensitive documents to ChatGPT, Claude, Gemini — whatever's newest, whatever's best.
You can't blame them. They want to work faster. They want the best tools available.
But you have no visibility. No governance. No control.
The answer isn't to lock AI down. It's to give them a better place to use it.
✓ Shared team workspace
✓ Usage tracking
✓ Shared assistants & knowledge
✓ Self-serve setup
✗ Single-vendor AI pilot
✗ Limited to one model
✗ No access to internal systems
✗ Basic chat interface
✓ The best model for each task
✓ Access to their real data
✓ Tools that can take action
✓ A workspace they'll actually use
The hard truth
Your enterprise AI pilot failed. Here's why.
You tried to get ahead of this. You ran a pilot. It didn't stick. You're not alone — most enterprise AI pilots fail to scale. Here's what went wrong:
1
One model, one vendor
You bet on a single provider, then a better model launched and you couldn't switch. Now you're locked in and falling behind.
2
No access to real data
Your AI couldn't reach the systems where your knowledge actually lives — data warehouses, internal tools, document repositories. It was disconnected from reality.
3
Chat, not agent
You gave people a chatbot when they needed a coworker. Something that could take action, not just answer questions.
4
No path to ROI
It couldn't do real work. A novelty that wore off in weeks. Leadership asked "what's the return?" and you didn't have an answer.
Salesforce
Teams
Databricks
Gmail
Redshift
SharePoint
Excel
Outlook
Snowflake
Simtheory
Business Analyst
Querying Snowflake for churn signals, scanning market reports and competitor filings...
Business Analyst
Cross-referenced 3 data sources with 12 public filings. Found 4 at-risk accounts.
Retention playbook drafted
Exec team briefed via email
Salesforce flags updated
Delegate a task...
Your AI is locked out of your business
Your employees want to delegate real work to AI. But they can't — because AI doesn't have access to the systems where work actually happens.
Data warehouses. CRM. Internal tools. The context AI needs is locked behind integrations that don't exist yet.
Without access, AI can only chat. With access, AI can query live data, draft from real numbers, update records, and execute end-to-end.
That's the difference between answering questions and getting work done.
Your team doesn't know how to work with AI yet
The tools exist. Claude can code. GPT can analyse. Gemini can research. But your employees are still treating AI like a search box — asking questions instead of delegating outcomes.
This isn't a criticism. It's a skill gap. Most people have never worked alongside an autonomous agent. They don't know how to give context, set boundaries, or trust AI to execute.
The companies pulling ahead aren't just buying AI tools. They're teaching their people to manage AI like a capable junior employee — one that needs clear instructions, appropriate permissions, and regular review.
What's our Q3 revenue?
Q3 revenue was $4.2M, up 18% from Q2.
You get an answer
Help me analyse Q3 revenue trends
Enterprise grew 34%, but SMB churned at 12%. Three patterns worth noting...
You think together
Prepare the Q3 board deck
On it. Pulling data now.
Queried data warehouse
Generated 12-slide deck
You get the work done
Every Monday, send the weekly sales summary
Scheduled. Here's this week's:
Runs every Monday, 8 AM
Work happens without you
The model chaos problem
The model you chose six months ago is already outdated
The best model today won't be the best model tomorrow. New models launch monthly. Different models excel at different tasks — reasoning, coding, creativity, speed. Locking into one vendor was a safe bet when AI was new. Now it's a strategic liability. You need a layer that lets you switch models without retraining your team, rebuilding your assistants, or renegotiating your contracts.
The solution
From conversation to delegation
Simtheory isn't another chatbot. It's a secure workspace where your team learns to work with AI, builds assistants that understand your business, and delegates real work — with full enterprise controls.
One platform. Every model. Your data. Your rules.
Analyze quarterly revenue trends
Draft a client proposal
Summarize 50-page research paper
Opus
GPT
Gemini
Kimi
Best for deep analysis
Best for creative writing
Best for long context
Think with any model
Switch models mid-conversation. Pick the best one for each task. No lock-in.

5 sources connected
What's driving customer churn?
SharePoint + Outlook + Databricks Churn correlates with onboarding gaps in enterprise segment...
Connect your data
Secure connections to your data warehouses, internal systems, and SaaS tools. AI gets the full picture.
Working... Complete 0 of 4 tasks 1 of 4 tasks 2 of 4 tasks 3 of 4 tasks 4 of 4 tasks
Draft Q4 report email
Update CRM records
Schedule team standup
Send follow-up to client
Delegate real work
Not just answers — outcomes. Agents that research, draft, analyse, and execute.
Simlink
Turn any computer intoa secure AI worker
Your employees want what open-source AI agents offer — file access, local context, autonomous execution. Simlink brings those capabilities inside your security perimeter. The power of agentic AI. Governed and auditable.
✓ Connect any model to local files and folders
✓ Set granular permissions and boundaries
✓ Full audit trail of every action AI takes
✓ AI navigates systems like a human would

Connected to Simtheory
"
The Simtheory team delivered what universities typically dream of but rarely get: a cutting-edge AI platform that actually understands academic needs. They navigated our data privacy requirements and treated our success as their personal mission. In an industry crawling with vendors, Simtheory stands out as a true partner who delivers on their promises.
Aaron Driver
Academic Director - Lab Next 70, University of New England
Connected to your tools
AI that actually does things
Simtheory connects to the tools your team already uses — so AI can take action where work happens.