MCP Servers That Connect AI to Your Business Systems
The Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that lets AI assistants such as Claude, Cursor, and custom agents securely connect to business tools and data. Inwizards - building software since 2009 - has developed MCP servers for WhatsApp, Zoho CRM, Odoo, and SAP, and builds custom MCP servers for any API.
All product names and logos are property of their respective owners, used for identification only. No affiliation or endorsement implied.
What is an MCP server?
An MCP server is software that exposes a business system - a CRM, an ERP, a messaging platform - to AI assistants through the Model Context Protocol. Once connected, an assistant can read, search, and update that system in natural language, within access limits you define. In 2026, it is how serious teams wire AI into real operations.
What our MCP servers let AI do
The same capabilities across every platform we cover - each one scoped to exactly what you allow.
Read & Search Records
Assistants look up contacts, leads, orders, and conversations across your systems and answer from live data instead of stale exports.
→ 02Create & Update
Where you allow writes, assistants create and update records - logging a call, moving a deal stage, drafting a message - under rules you define.
→ 03Natural-Language Queries
Your team asks questions in plain language and gets answers pulled straight from the connected system. No report builder required.
→ 04Scoped, Per-Model Access
Each server exposes only the modules, models, and fields you approve - read-only where you want caution, write access only where you grant it.
→ 05Audit-Friendly by Design
Every tool call an assistant makes can be logged and reviewed, so you always know what AI touched, and when.
→ 06On-Premise Option
Pair a server with open models such as Llama or DeepSeek served via vLLM or Ollama, and your data never leaves your network.
→Any API can become an MCP server.
Beyond WhatsApp, Zoho CRM, Odoo, and SAP, we turn the systems you already run - internal tools, legacy databases, third-party APIs - into MCP servers your AI assistants can use. You choose what gets exposed; we design the tools, build the server, and keep it maintained as the protocol evolves.
Why teams pick Inwizards for MCP
We build MCP servers on platforms we know from the inside — as builders, daily users, and integrators.
We Built Our Own WhatsApp Platform
Go4WhatsUp, our WhatsApp automation product, means our WhatsApp MCP server comes from a team that ships WhatsApp software for a living.
→ 02We Run Our Own Sales on Zoho CRM
Our Zoho CRM MCP server is shaped by daily use — our own pipeline lives in Zoho, so we know what sales teams actually ask their CRM.
→ 03A Deep Odoo Practice
From the Amazon Connector for Odoo to full implementations, we have worked inside Odoo models for years — the foundation of our Odoo MCP server.
→ 04Enterprise ERP Discipline
SAP work demands security-first engineering: read-heavy access first, narrowly scoped writes later, on-premise where compliance requires it.
→How an engagement works
No big-bang rollout — we connect one system, prove it with your team, then expand.
Assess
We map the systems you want AI to reach, the questions your team asks every day, and exactly which data should be readable or writable - and hand you a written scope before you commit.
→Build or Configure the MCP Server
We build the server for your platform - mapped to your modules, custom fields, and workflows - with authentication and scoped access in place from day one.
→Connect Your AI Assistants
Claude, Cursor, or your own agents connect to the server. We test real queries with your team and tighten tool definitions until answers are reliable.
→Support & Extend
We monitor the server, review audit logs with you, add new tools as needs grow, and keep pace as the MCP standard and your platforms evolve.
→Eight platforms. One protocol.
Start with the system your team lives in — each MCP server is a first-class build, not a thin wrapper.
WhatsApp MCP Server
AI agents reading, searching, and sending WhatsApp Business messages — from the team behind Go4WhatsUp.
See WhatsApp MCP →Zoho CRM MCP Server
Query leads and deals in natural language, in the CRM we run our own sales on.
See Zoho CRM MCP →Odoo MCP Server
Talk to your ERP in plain language — CRM, inventory, and accounting, Community or Enterprise.
See Odoo MCP →SAP MCP Server
Secure, read-first AI access to SAP data, with an on-premise deployment option.
See SAP MCP →Salesforce MCP Server
Custom MCP servers for Salesforce — scoped to your objects, custom fields, flows, and sharing rules.
See Salesforce MCP →Dynamics 365 MCP Server
Custom AI access to D365 — mapped to your Dataverse tables, columns, and security roles.
See Dynamics 365 MCP →HubSpot MCP Server
Custom AI agents for HubSpot CRM — your objects, custom properties, pipelines, and workflows.
See HubSpot MCP →Amazon MCP Server
Ask your Seller Central about sales, inventory, and returns — a custom server on the SP-API, from the Amazon–Odoo Connector team.
See Amazon MCP →AI Agent Development
Custom agents designed and built around your workflows — the layer that puts these servers to work.
See development →On-Premise AI
Open models on your own servers, so MCP traffic and data stay inside your network.
See on-premise AI →A software development company since 2009.
Offices in the US, UAE, and India — 15+ years building and integrating business software.
MCP server questions
What buyers ask us about the Model Context Protocol and our MCP servers.
MCP is an open protocol introduced by Anthropic that lets AI assistants securely connect to external tools and data. An MCP server exposes a system - like a CRM or ERP - so assistants such as Claude, Cursor, or custom agents can read, search, and update it within limits you set.
It designs, builds, and maintains MCP servers for your business systems: choosing which data and actions to expose as tools, wiring in authentication and scoped access, deploying in your cloud or on-premise, and supporting the server as the protocol and your platforms evolve.
MCP is an open standard, so support keeps widening. Claude and Cursor support MCP natively, OpenAI has added MCP support to its agent tooling, and any custom agent can implement the protocol. We build servers against the open specification, not one vendor.
Each server exposes only the modules and fields you approve, with authentication, scoped read or write access, and audit-friendly logging of what assistants do. For maximum control, the whole stack - server and AI models - can run on-premise so data never leaves your network.
Yes. Our MCP servers can be deployed on your own infrastructure and paired with open models such as Llama or DeepSeek served via vLLM or Ollama - so neither the server nor the AI layer sends your data to third-party clouds.
We work in phases rather than promising dates: an assessment of what to expose, a build-and-configure phase, a connection phase where your assistants go live with real users, then ongoing support. Scope drives the timeline - one platform with read access moves much faster than multi-system write access.
Yes. You can hire MCP developers from us for a fixed-scope build or as an ongoing team extension. The same engineers work across our WhatsApp, Zoho, Odoo, and SAP MCP servers, and every engagement starts with a short discovery of your systems before any commitment.
Ready to connect AI to your business systems?
Book a demo and we will show an AI assistant reading and updating live records over MCP - then map which of your systems to connect first, cloud or on-premise.