Model Context Protocol (MCP)
Build powerful AI integrations with full-featured MCP Server and Client components. Connect large language models to your application's tools, data, and workflows.
Build powerful AI integrations with full-featured MCP Server and Client components. Connect large language models to your application's tools, data, and workflows.
The Model Context Protocol is the emerging standard for connecting AI models to external tools and data sources.
MCP defines a standard protocol for how large language models interact with the outside world. Instead of building custom API integrations for each AI provider, MCP provides a universal interface that enables LLMs to call functions, access databases, query APIs, and interact with your application logic through a consistent, well-defined protocol.
Full-featured components for both sides of the MCP protocol.
Expose your application's capabilities to AI models. Enterprise Only.
Connect to any MCP-compatible server. Enterprise Only.
Supported Platforms
Expose tools to AI models with just a few lines of Delphi code.
procedure TForm1.SetupMCPServer;
begin
sgcMCPServer1.Options.Transport := mcpStdIO;
sgcMCPServer1.AddTool('get_weather', 'Get current weather');
sgcMCPServer1.Active := True;
end;
procedure TForm1.sgcMCPServer1ToolCall(Sender: TObject;
const ToolName: string; const Arguments: string;
var Result: string);
begin
if ToolName = 'get_weather' then
Result := '{"temperature": 22, "condition": "sunny"}';
end;MCP opens up a world of possibilities for AI-powered applications.
Build coding assistants that can read and write files, run tests, query documentation, and provide intelligent code suggestions directly within your development environment.
Let AI models query and analyze your databases through controlled, secure interfaces. Define read-only or read-write access policies and let the AI generate insights from your data.
Connect AI to your business logic — CRM, ERP, ticketing systems, and more. Automate workflows with natural language instructions and intelligent decision-making.
Chain multiple tools and resources for complex, multi-step AI operations. Build pipelines that combine data retrieval, processing, and action execution in a single AI-driven workflow.
Deploy MCP servers and clients across every major platform and IDE.
Delphi 7 through RAD Studio 13. Full VCL and FireMonkey support with design-time components.
C++ Builder 10.1 Berlin through C++ Builder 13 with native C++ wrapper headers.
Lazarus 4.4.0 Win64 with Free Pascal compiler support.
Windows, macOS (Intel & ARM), Linux 64-bit, iOS, and Android.