Enterprise MCP Connectors: Connect AI to the Tools Your Business Runs On
Arkios connectors use the Model Context Protocol to plug AI agents and chat into your CRMs, databases, and APIs — with an encrypted vault, scoped access, and a full audit trail.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard that lets AI models securely connect to external tools and data sources. Instead of writing a one-off integration for every system, you expose tools through an MCP server, and any MCP-compatible AI can discover and call them — read a record, run a query, trigger an action — through one consistent interface.
Arkios Enterprise builds MCP into the platform as connectors. Add a connector from the directory, connect any MCP server of your own by URL, or pick from API templates in the Tools Hub — Slack, Stripe, CRMs, databases, HTTP APIs — and your agents and chat sessions can use those tools to take live actions, not just answer questions.
Every connection runs through enterprise controls: credentials live in an encrypted secrets vault, access is scoped per team and per role, and every tool call is written to an audit log.
What you get
Connectors, built on MCP
Add a connector from the directory, or connect any Model Context Protocol server by URL, and Arkios discovers its tools automatically. Adding one takes you straight to signing in, and each member can connect their own account, so agents act as the person they are working for. If a system speaks MCP — internal or third-party — it works with Arkios without custom glue code or a separate integration project.
API template library
The Tools Hub ships with templates for Slack, Stripe, CRMs, databases, and generic HTTP APIs. Pick a template, add credentials, and the tools are live in minutes. Templates encode sensible defaults for auth and operations, so teams connect common systems without reading API docs first.
Custom tools without code
When a template does not exist, build your own. Define custom tools against any HTTP API directly in the UI — endpoints, parameters, and auth — with no code. Internal services and niche vendor APIs become AI-callable tools your whole organization can reuse.
Secrets vault and scoped access
API keys and credentials are stored in an encrypted secrets vault and never exposed in prompts or chat. Each tool is scoped per team and per role, so finance tools stay with finance and production databases stay with the people authorized to query them.
Tool-call audit logs
Every tool call an agent makes is logged: who triggered it, which tool ran, and what happened. Security and compliance teams get a reviewable trail of AI actions across the company, which makes connecting AI to real systems an auditable decision instead of a leap of faith.
How it works
- 1
Add a connector or pick a template
Add a connector from the directory, connect your own MCP server by URL, or choose an API template — Slack, Stripe, a CRM, a database, or any HTTP API — from the Tools Hub.
- 2
Sign in, or store credentials in the vault
Connectors sign in with the provider; API keys and connection details are added once. Either way they are encrypted in the secrets vault and injected at call time, never shown to users or models.
- 3
Scope access to teams and roles
Decide which teams and roles can use each tool. Scoping is enforced on every call, so agents only reach the systems their users are allowed to touch.
- 4
Agents call tools — with logging
Agents and chat sessions use the tools to take live actions. Every call lands in the audit log for review.
Use cases
Update the CRM from chat
A sales rep finishes a call and types the outcome into Arkios chat. The agent updates the opportunity stage, logs the activity, and sets a follow-up task through the CRM integration — no tab-switching, no fields skipped, and every change recorded in the audit log.
Ask questions of internal databases
Connect a read-scoped database tool and let teams ask plain-English questions: churn this quarter, orders stuck in fulfillment, top accounts by usage. The agent queries the database directly, so answers reflect live data instead of last week's exported spreadsheet.
Run Stripe operations safely
Support agents look up subscriptions, check invoice status, or issue an approved refund through the Stripe integration. Access is scoped to the billing team, credentials stay in the vault, and finance can review every Stripe call the AI made, line by line.
Automate Slack workflows
Agents post deal alerts to the right channel, summarize an incident thread for leadership, or notify an owner when a monitored metric moves. The Slack integration turns chat from a place you read about work into a place AI does the routing for you.
Frequently asked questions
What is an MCP server in simple terms?
An MCP server is a small service that exposes a system's capabilities — like "query this database" or "create this ticket" — in a standard format AI models understand. Instead of custom code per integration, the AI connects to the server, sees what tools exist, and calls them. Think of it as a universal adapter between AI and your software.
How do I connect an AI agent to our internal database?
In Arkios, pick the database template from the Tools Hub, store the connection credentials in the encrypted secrets vault, and scope access to the teams that should query it. Your agents can then answer questions and take actions against live data, and every query is captured in the audit log.
Is it safe to give AI agents access to production systems?
Arkios is built for exactly that concern. Credentials sit in an encrypted vault and are never exposed to users or models, every tool is scoped per team and per role, and every tool call is audit-logged. You control which operations exist, who can trigger them, and you can review everything the AI did.
Can I connect a custom or internal API that has no pre-built connector?
Yes. Arkios lets you build custom tools against any HTTP API without writing code — define the endpoints, parameters, and authentication in the UI. If you already expose tools through your own MCP server, add it as a custom connector by its URL. Either path makes your internal systems callable by agents and chat.
How much do MCP connectors cost on Arkios?
Connectors and integrations are included in the standard Arkios Enterprise plan at $25 per user per month — flat pricing, with the Tools Hub, secrets vault, access scoping, and audit logs all in. There are no per-connector fees, and you can try everything on a 14-day free trial.
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