MCP Implementation & AI Tool Integration Solutions

Model Context Protocol (MCP) is an open standard by Anthropic (released November 2024) that provides a universal way for AI models to connect with external tools and data sources. It defines how AI agents discover available tools, understand their capabilities, and invoke them securely. MCP replaces custom API integrations with a standardized protocol — similar to how USB standardized device connections.

MCP provides three key advantages: (1) Model-agnostic — the same MCP server works with Claude, GPT-4, Llama, or any LLM. (2) Standardized security — built-in authentication, rate limiting, and audit logging. (3) Discoverable — AI agents can automatically discover what tools are available and how to use them, without hardcoded integrations. This reduces integration development time by 60-70%.

A basic MCP server connecting to 2-3 business systems costs Rs 5-10 lakhs and takes 2-3 weeks. A comprehensive MCP infrastructure connecting your entire tool ecosystem (CRM, ERP, databases, document stores, APIs) costs Rs 15-30 lakhs and takes 4-8 weeks. This is significantly cheaper than building individual AI integrations for each tool.

Yes. MCP is model-agnostic by design. While Anthropic created MCP, it works with any AI model that supports tool calling — including Claude, GPT-4, Gemini, Llama, and Mistral. This means you build your MCP servers once and they work with any current or future AI model, protecting your investment against model vendor lock-in.

Boolean & Beyond is among the first companies in India to implement Model Context Protocol (MCP) for enterprise clients. Based in Bangalore (Bengaluru), we build custom MCP servers that connect AI agents to your business systems. We have been working with MCP since its release in November 2024, with production deployments in Bengaluru and Coimbatore.