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MCP Server New Safe AI access to every system you run

Connect your AI to the systems that run your business.

We build, secure, host and run MCP servers, so your AI assistants and agents can read and act in your ERP, CRM and in-house systems, each person with their own permissions.

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  • Claude Partner
  • 500+ clients served
  • ISO 27001
  • HIPAA compliant
Example
Example request

AI tools: Claude, ChatGPT, Microsoft Copilot, Gemini and Your own agents. CAP gateway: Sign-in (SSO), Permissions, Approvals, Audit log and Rate limits. MCP servers, built and run by CAP: ERP server, CRM server, Database server, Documents server and Legacy app server. Your systems: ERP, CRM, Databases, Documents and Legacy apps. Requests flow left to right and results come back the same way; legacy apps get a new API layer before their MCP server. Run by CAP: monitoring, upgrades, security reviews, new tools.

Look up an order's status, read only

Request trail
  1. Claude
  2. Sign-in (SSO) ✓
  3. Permissions ✓
  4. Approvals: not needed, read only
  5. Audit log ✓
  6. Rate limits ✓
  7. ERP server
  8. Order status returned

Issue a refund, needs approval

Request trail
  1. Your own agents
  2. Sign-in (SSO) ✓
  3. Permissions ✓
  4. Approvals: signed off by a person
  5. Audit log ✓
  6. Rate limits ✓
  7. ERP server
  8. Refund issued

In plain words: an MCP server tells AI assistants which actions they may take in a system, such as "look up an order" or "open a ticket", and carries them out under the user's own permissions.
Play the video: MCP Server intro video,1:00

Most companies have no MCP servers yet, or run ones nobody secures or maintains

CAP Digisoft closes both gaps.

Show the connections
Area
Today (no MCP or DIY)
With CAP
Access to data
AI tools can't see ERP, CRM or in-house data, so staff copy and paste between them
AI assistants read and act in those systems through approved tools
Build quality
Community servers copied from public repositories, often with no review
Servers built to CAP standards, code-reviewed and tested before launch
Security
No sign-in, broad API keys, no record of what the AI did
OAuth sign-in, least-privilege tools, approval for risky actions, full audit logs
Legacy systems
Old apps with no APIs are left out of AI plans
CAP adds an API layer, then an MCP server on top
Upkeep
Spec changes break or retire features and nobody owns the upgrade
CAP tracks each spec release and upgrades servers before older features are retired
Sprawl
Teams install servers on their own; IT can't see who uses what
One managed gateway and catalog showing who can use which tool, with usage reports
Skills and cost
Hiring scarce MCP, OAuth and security specialists in-house
CAP's global team builds, secures and keeps them current for you
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What MCP Server covers, from the first map to every upgrade

We design, build, secure, host and run MCP servers that give your AI tools safe access to your systems, then keep them current as the standard changes.

Build

  • Readiness assessmentWe map the systems, data and actions AI should reach, ranked by value and risk.
  • Custom server buildTools and data access for ERP, CRM, databases, document stores and in-house apps, in TypeScript, Python, Go or C#.
  • Legacy enablementAn API layer for systems that have none, with the MCP server on top.

Secure

  • Security hardeningOAuth sign-in through your identity provider, least-privilege tools, input checks, approval steps for write actions and secrets management.
  • Third-party server reviewWe vet community and vendor MCP servers before your staff connect them.

Run

  • Hosting and gatewayWe deploy on your cloud (AWS, Azure or Google Cloud) or on CAP-managed hosting, behind one gateway for sign-in, limits and audit.
  • Managed operationsMonitoring, logs, incident response, spec and SDK upgrades, new tools on request and monthly usage reports.

For SaaS vendors

  • Product servers for SaaS vendorsPublic, multi-tenant MCP servers for your SaaS product, listed in the official MCP Registry and AI app directories.

Five steps, from discovery to every new release

Every server follows the same path, and the last step repeats with each release of the MCP specification.

  1. DiscoverList your systems, users, actions and risks, and pick the first use case.

  2. DesignDefine the tools, permissions and approval rules, and choose the hosting.

  3. Build and testCode the server, test it with Claude, ChatGPT and Microsoft Copilot, and run security tests.

  4. LaunchDeploy it behind the gateway, connect your users and train your teams.

  5. Run and improveMonitor it, upgrade it with each spec release and add tools as your needs grow.

Each spec release

Every server follows one security baseline

A single weak server can expose a whole system, so every server we build meets the same baseline.

Example

One logged call

time 10:42:07

  • user Finance lead, signed in with SSO

    Identity: OAuth sign-in through your identity provider; each person acts with their own permissions, never a shared admin key.

  • tool issue_refund, one narrow tool

    Least privilege: Narrow tools ("get order status") instead of broad ones ("run any query"); read-only by default.

  • approval Signed off by a person

    Human approval: Payments, deletes and record changes wait for a person to confirm.

  • inputs Order 10482, checked

    Input and output checks: Every tool input is validated to block injection; secrets and sensitive fields are stripped from results.

  • source_text Treated as data

    Prompt-injection defense: Text from emails, documents and web pages is treated as data, and tool descriptions are locked and reviewed.

  • credentials From the vault, over HTTPS

    Secrets and network: Keys live in a vault, never in config files; HTTPS only; internal systems stay on private networks.

  • retention Kept for your retention period

    Audit trail: Every call is logged with the user, tool, inputs and result, and kept for your retention period.

  • server ERP server, reviewed and pinned to its version

    Supply chain: Third-party servers are code-reviewed and pinned to approved versions before anyone connects them.

  • controls Mapped to your rules, for example HIPAA, SOC 2, PCI or GDPR

    Compliance mapping: Controls mapped to HIPAA, SOC 2, PCI or GDPR where you need them.

  • result Refund issued

20+ years of systems integration, and AI we build every day

CAP Digisoft pairs 20+ years of systems integration and ERP depth with daily AI product work, which is the mix MCP needs.

  • CAP Digisoft is a Claude Partner. Anthropic created MCP.
  • Scale and reach: 500+ clients and 350 team members across four countries: the United States, El Salvador, India and Poland.
  • Knows the systems: our AgentWorks teams already support ERP and business platforms, including SAP, Oracle, NetSuite, Microsoft Dynamics, Workday, ServiceNow and Salesforce.
  • Legacy to API: our ReBuild work already exposes old functions through APIs, the first step to an MCP server.
  • Builds AI daily: we build and run our own AI agent products, including EKKO.
  • Modern stack
    • Node.js
    • Python
    • Go
    • FastAPI
    • AWS
    • Google Cloud
    • Docker
    • Kubernetes
    • Terraform

Start with an MCP Server readiness assessment

Tell us which AI tools your teams use and which systems they should reach first. We come back to set up a readiness assessment: a map of your systems, use cases ranked by value and risk, a security plan, a roadmap and a fixed quote.

Pricing Your price comes from a short readiness assessment of your systems, your AI tools and your security needs.

Book a meeting
Which AI tools do your teams use?

Choose all that apply.

For example your ERP, CRM, service desk or an in-house app. Categories are enough.

Questions about MCP Server? Read the answers 

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