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MCP Servers

Custom Model Context Protocol servers that connect AI models to your tools, databases, and workflows.

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Why Choose This Service

1

Tool Integration

Connect AI assistants to your databases, APIs, file systems, and internal tools through standardized MCP interfaces.

2

Production Ready

Battle-tested servers with proper error handling, rate limiting, authentication, and logging for enterprise deployments.

3

Multi-Model Support

Works with Claude, GPT, and other LLMs that support the Model Context Protocol standard.

4

Custom Resources

Expose your business data as MCP resources and tools that AI models can query, update, and act upon.

Nasıl Çalışıyoruz

1

Capability Mapping

We identify which tools, data sources, and actions your AI needs access to and design the MCP interface.

2

Server Development

We build and test the MCP server with comprehensive tool definitions, resource endpoints, and security controls.

3

Integration & Monitoring

Deploy the server, connect it to your AI workflows, and set up monitoring dashboards for usage and performance.

Teknoloji Altyapımız

Python
.NET
MCP SDK
Docker
PostgreSQL

Frequently Asked Questions

What is the Model Context Protocol (MCP)?

MCP is an open standard that lets AI models interact with external tools and data sources. Instead of the AI only generating text, MCP lets it query databases, call APIs, read files, and take actions in your systems.

Which AI models support MCP?

Claude (Anthropic) has native MCP support. Other models can use MCP through adapter layers. The protocol is open-source and growing rapidly in adoption.

Is MCP secure for enterprise use?

Yes. Our MCP servers implement authentication, authorization, input validation, and audit logging. You control exactly which tools and data the AI can access.

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