01
Create an Account, Get Your API Key
Go to mcp.matriks.ai, sign in with your Matriks account, and generate your API key in one click.
MATRIKS MCP — AI Integration Platform
Integrate your own AI models, and manage and monitor their performance from a single platform.
Görev planı
BIST 100 günlük veri çekimimatriks.mcp
Sektör bazlı sınıflandırmamatriks.mcp
Isı haritası oluştur ve raporla
artifact: bist-heatmap.json
MCP
THYAO
+3.4%GARAN
+2.1%ASELS
+2.2%AKBNK
+1.7%YKBNK
+1.2%EREGL
−0.4%KCHOL
+0.8%BIMAS
−0.9%SISE
−1.4%PGSUS
+1.9%TUPRS
+0.3%TAVHL
−0.4%62 yükselen, 38 düşen. Havacılık ve bankacılık lider; cam ve gıda baskı altında.
Yeni görev…
MCP's Powerful Features
Platform-Independent Data
Your data stays with you even when your AI platform changes.
Enterprise Reliability
23 years of capital markets data infrastructure.
30+ Tools in One Chat
Analysis, screening, and optimization in a single command.
Microstructure Analysis
Track large money flows in real time.
Verified Data Source
Licensed and reliable financial data.
Local and Global Markets
BIST and US markets in a single connection.
How to Use
Connect Matriks MCP to your AI in four steps.
02
Add to Your AI Tool
Open your AI application and add Matriks MCP as a new connection. Setup takes just a few steps across all supported tools.
03
Connection Ready, Data With You
Within seconds your connection goes live and Matriks real-time market data is ready inside your AI tool. No more switching between platforms.
04
Start Talking to the Market
Ask for prices, request analysis, or review balance sheets in a single message. Do all your market research by conversation—Matriks data responds in seconds.
Frequently Asked Questions
What is MCP and how does it work?
What is MCP and how does it work?
MCP (Model Context Protocol) is a protocol that connects AI models to financial data and tools through a standardized interface. It enables intelligent routing and seamless integration with multiple AI services.
Which AI tools and models do you support?
Which AI tools and models do you support?
We support popular AI tools and models including OpenAI GPT, Anthropic Claude, Google Gemini, and Cursor, as well as your own custom models.
How does integration with our existing infrastructure work?
How does integration with our existing infrastructure work?
Matriks MCP connects to your existing systems via REST API, WebSocket, and the MCP protocol. Simple integrations can be completed in a few days; enterprise deployments may take a few weeks. Throughout the process, we provide sandbox testing, sample client code (Python, Node.js), and technical guidance.
How long does integration take?
How long does integration take?
Connecting Matriks MCP to an AI tool like Claude or Cursor can be set up in just a few minutes. Enterprise system integrations vary depending on scope; we recommend consulting with our technical team for a timeline.
Can it be customized with our organization's data?
Can it be customized with our organization's data?
Yes. You can upload your own reports and documents, create organization-specific search indexes, and configure output settings to match your needs. Each organization's data is kept completely isolated.
Is it a ready-made AI, or can the system learn my business?
Is it a ready-made AI, or can the system learn my business?
We offer both. You start with Matriks's ready-made financial data infrastructure; over time, your organization's documents and preferences are integrated into the system. Your customer data is never used for general model training.
Which languages does the platform support?
Which languages does the platform support?
The interface is available in Turkish and English. Financial analysis supports Turkish natural language processing with FinBERT-TR for sector-specific terminology. Output language can be configured per organization.
How is compliance with financial regulations and KVKK ensured?
How is compliance with financial regulations and KVKK ensured?
The platform operates on infrastructure compliant with KVKK, SPK, BDDK, and ISO 27001. Your data is stored in Turkey with TLS 1.3 and AES-256 encryption. With on-premise deployment, data stays entirely within your own infrastructure and is never sent to third-party cloud AI services.
How is data security ensured?
How is data security ensured?
Your data is protected with end-to-end TLS 1.3 encryption, Borsa Istanbul publicly traded company standards (MTRKS), GDPR/KVKK compliance, and zero-trust network architecture.