We build MCP servers for B2B SaaS companies shipping agentic AI products. Your agents get real-time read and write access to enterprise ERPs, CRMs, databases, and any system with an API. Scoped and delivered in 1-2 weeks.
SAP's auth flows, NetSuite's SuiteTalk, Dynamics 365 OData — these aren't simple REST endpoints. Each has its own authentication model, data structure, and rate limits. Your AI team shouldn't have to learn all of this.
You can't build an MCP server for SAP without a SAP sandbox. Getting one takes weeks and costs thousands. Most teams get stuck before writing a single line of code.
Your team's expertise is in AI — models, prompts, agents, UX. Integration plumbing is a different skillset entirely. Every week on ERP documentation is a week not improving your product.
We've already solved all three. Enterprise partnerships give us sandbox access on day one. We know the APIs inside out. Your team stays on AI — we handle the data layer.
Custom MCP tools mapped to your agent's needs
Full bidirectional access to every connected system
OAuth 2.0, API keys, custom authentication flows
Tested against our enterprise sandbox environments
Deployment guide, tool reference, and data models
Included free. Extended support available.
You tell us what your AI agent needs to do — read invoices, create contacts, query inventory. We map out the MCP tools, data models, and auth requirements. Fixed quote before we start.
We develop and test against our own enterprise sandbox environments. No waiting for your customers' systems. Weekly demos so you see progress. Direct Slack access to the engineers building it.
Full handover: deployed server, documentation, tool reference. We walk your team through testing against real systems. 4 hours of post-launch support included.
Both worlds. One team.
SAP, NetSuite, D365 environments ready.
3-5 active projects max. Senior engineers only.
| In-house | Freelancer | MCP agency | Inovaflow | |
|---|---|---|---|---|
| Delivery | 2-4 weeks (your team knows MCP) | 3-5 weeks if available | 4-6 weeks | 1-2 weeks |
| MCP knowledge | Strong — it's your team | Varies widely | Likely competent | Strong |
| Enterprise APIs | Weak — SAP, NetSuite, D365 are a different world | Rarely knows enterprise systems | Generic API knowledge, not ERP-specific | Battle-tested across major ERPs |
| Sandbox access | Weeks to arrange, costs thousands | You provide it | You provide it | We have our own environments |
| Your team | Pulled off AI product work | Managing a contractor | Managing a vendor | Stays on product |
| After delivery | You maintain everything | Gone after invoice | Varies — often project-based | 4h included + extended available |
| Cost model | Salary + opportunity cost | Hourly, variable | Project-based, often padded | Fixed quote upfront |
Your users and internal teams want to build with LLMs. We build MCP servers not just for connecting TO enterprise systems — but for making YOUR SaaS the system AI agents connect to. Let users and internal teams read, write, and act inside your platform through AI, taking your product to the next level.
Tell us about your product →MCP (Model Context Protocol) is a standard that allows AI agents and LLM-powered applications to connect to external tools and data sources. An MCP server exposes tools — functions that let the AI read data, create records, update fields, and perform actions in systems like ERPs, CRMs, and databases. Think of it as the bridge between your AI and the real world.
We typically deliver in 1-2 weeks, depending on the number of systems and tools needed. Simple single-system servers can be faster. We scope in 1-2 days and start building immediately.
SAP S/4HANA, Microsoft Dynamics 365, Oracle NetSuite, Salesforce, HubSpot, Snowflake, BigQuery, PostgreSQL, MongoDB, and any system with a REST, GraphQL, or SOAP API. We maintain sandbox environments for major ERPs through our partnership programs.
No. We maintain our own enterprise sandbox environments through vendor partnership programs. This is one of the biggest blockers for teams building MCP servers in-house — we've already solved it.
Yes. Every MCP server we build includes unlimited tools for full bidirectional access. Your AI agent can query data, create new records, update existing ones, and trigger actions in connected systems.
A regular API integration is point-to-point — you connect system A to system B with fixed logic. An MCP server is agent-driven — it exposes tools that an AI agent can choose to use dynamically based on context. The AI decides what to call, when, and with what parameters. It's fundamentally more flexible for AI applications.
Pricing depends on the number of connected systems and tools required. We provide a fixed quote after a scope call — usually within 1-2 days. Book a scope call and we'll give you a timeline and cost before the call ends.
Yes. We don't just connect AI agents to enterprise systems — we also build MCP servers that make YOUR product AI-accessible. Your users and internal teams can then build with LLMs against your platform, taking your product to the next level. Same engineering team, same quality.
Tell us what systems your AI needs to access. We'll come back with a tool design, timeline, and fixed quote — usually within 48 hours.
or email us directly — hello@inovaflow.io