Let AI agents use your systems, safely.
AI assistants are only as useful as the systems they can reach. An MCP server gives them a defined, permissioned way in, so they can look up an order or update a record without anyone pasting data into a chat.
From $2,499
An MCP server is a small service that exposes your software to AI assistants through the Model Context Protocol, an open standard supported by Claude, ChatGPT and a growing list of AI tools. It defines which data the AI may read and which actions it may take. FIMM builds MCP servers for CRMs, databases, internal APIs and SaaS products, with sign-in, role-based permissions, rate limits and audit logs, so agents can work with your systems safely.
What we build.
Internal system connectors
MCP servers over your CRM, ERP, database or ticketing system, exposing the specific records and actions staff need from their AI assistant.
MCP servers for SaaS products
A public MCP server for your product, so customers can connect it to Claude, ChatGPT and other clients, with clear setup documentation.
Sign-in and permissions
OAuth sign-in and role-based access, so the agent acts with the same rights as the person using it and nothing more.
Careful tool design
Clear tool names, descriptions and inputs, starting with read-only access and adding write actions with confirmation steps where they are safe.
Audit logs and rate limits
Every tool call recorded with who, what and when, plus limits that stop a runaway agent from hammering your systems.
Prompt-injection testing
We test how the server behaves when text inside your data tries to redirect the agent, and add guards against data leaks and unintended actions.
How an MCP build runs.
We start with a narrow set of read-only tools, test them with real prompts, then widen access only where it is safe and useful.
Define
We choose the systems, records and actions worth exposing, and who should be able to use each one.
Build
The server is built in Python or TypeScript with sign-in, permissions and logging from the first version.
Test
We test with Claude, ChatGPT and your chosen clients, including misuse and injection cases, before anyone relies on it.
Deploy
Hosted on your cloud or ours, documented, monitored and updated as the protocol and the AI clients change.
Common questions.
What is the Model Context Protocol (MCP)?
How is this different from your AI integration service?
Is it safe to give an AI agent access to our systems?
Do you build MCP servers for SaaS products?
Which systems can you connect?
What does an MCP server cost?
Does it work with Claude Code and other developer tools?
Will the server keep working as MCP changes?
Explore what else we build.
AI Automation
Support agents, lead qualification, and back-office workflows that run themselves, with guardrails and human escalation.
Explore →Web & SaaS
SaaS products and MVPs with accounts, billing and dashboards, built to launch fast and scale cleanly.
Explore →Mobile Apps
Native-feeling iOS and Android products, from prototype to store, backend included.
Explore →Let's build
something.
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