Connect AI agents to your business tools using Model Context Protocol (MCP) — the open standard for AI-to-system integration by Anthropic.
Trusted by 100+ innovative teams
What we build
Think of MCP as a USB-C port for AI — one standard protocol that connects any AI model to any tool. Instead of writing custom integrations for each AI model and each tool, MCP provides a universal interface. Your AI agent can query your database, search your documents, call your APIs, send emails, update CRM records, and trigger workflows — all through standardized MCP servers. Boolean & Beyond builds custom MCP servers and integrations that connect Claude, GPT-4, and open-source LLMs to your existing business systems. We are early adopters of MCP since its release in November 2024, with production deployments connecting AI agents to ERP, CRM, and internal tools.
Built for teams like yours
How we deliver
Map your workflows, identify high-impact opportunities, and quantify ROI potential.
Build a focused MVP for your highest-impact use case in 4-6 weeks.
Harden, monitor, and expand — leveraging existing infrastructure for each new capability.
4-8 weeks
pilot to production
95%+
milestone adherence
99.3%
SLA stability
MCP Implementation & AI Tool Integration Implementation
Use the same rollout pattern we apply in production programs: architecture review, risk controls, and measurable milestones from pilot to scale.
4-8 weeks
pilot to production timeline
95%+
delivery milestone adherence
99.3%
observed SLA stability in ops programs
Deep dives
Technical articles on building production mcp implementation & ai tool integration systems.
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.
Explore related services, insights, case studies, and planning tools for your next implementation step.
Delivery available from Bengaluru and Coimbatore teams, with remote implementation across India.
Case Studies
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Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002