MCP Protocol

Through the Model Context Protocol, the AI can access external tools, APIs, and data sources. You can add your own tools.

Isolated AI

  • AI only knows its training data
  • No integration with enterprise tools
  • Manual data entry required
  • No workflow automation

AI with MCP

  • Direct access to databases and APIs
  • Integration with CRM, ERP, and more
  • Automated multi-step workflows
  • Secure tool calls with permission checks

Interactive Demo

ThinkLocAI - MCP Tool Integration

Available Tools

Click on tools to connect them (min. 2 for demo)

MCP Session0 Tools connected
Connect tools and start the demo

Transparency notice: this demo is a simulation using prepared sample data and does not show output from a live AI model. Labelled in line with Art. 50 of Regulation (EU) 2024/1689.

Features in Detail

Database Access

Direct SQL queries on your databases with automatic result processing.

File System

Read and write files, navigate directories, and search for files.

Email Integration

Access emails, generate automatic summaries, and draft responses.

Calendar

Query, create, and manage appointments directly through the AI.

Custom Tools

Develop your own MCP tools for your specific requirements.

Code Execution

Python code runs in a sandbox, for example for data analysis and calculations.

Technical Details

MCP Server

  • JSON-RPC Protocol
  • Tool Discovery
  • Schema Validation
  • Error Handling

Built-in Tools

  • SQL Query
  • File Operations
  • HTTP Requests
  • Shell Commands

Security

  • Tool Whitelisting
  • Permission Checks
  • Audit Logging
  • Sandboxing

Use Cases

CRM Integration

The AI accesses customer data and generates personalized responses.

Workflow Automation

Automate multi-step processes such as approvals and reports.

Business Intelligence

Ask natural language questions about your business data.

Decide which systems your AI may use

In a demo, we show how the AI queries databases and calls custom tools via MCP.