MCP — Model Context Protocol
The open standard that connects LLM applications to your tools and data.
The Model Context Protocol is an open standard, originated by Anthropic, that defines how an LLM application (the client) discovers and calls servers exposing tools, resources and prompts over JSON-RPC, via stdio or HTTP. An MCP server written once (Python, TypeScript, C#, Java SDKs, among others) works with any compatible host: Claude, ChatGPT, Copilot, IDEs or in-house agents. It's our choice when a company wants to expose its systems to AI agents without rewriting one integration per model.
What MCP — Model Context Protocol brings to your project.
Typical use cases: Connecting agents to internal systems (CRM, ERP, databases), tool-using assistants, in-house MCP servers.
- 01
Open, vendor-neutral standard: adopted by Anthropic, OpenAI, Google and Microsoft.
- 02
Three primitives: tools (actions), resources (data) and prompts (reusable templates).
- 03
stdio and streamable HTTP transports, OAuth 2.1 authorization for remote servers.
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One connector, written once, reused by every compatible host.
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Entrust your project to our
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Entrust your project
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