Model Context Protocol logo

[ AI tools · Frameworks and platforms ]

Connect Your Systems to Every AI Assistant, Once

We build Model Context Protocol servers that expose your internal systems to Claude, ChatGPT, Copilot, coding tools and your own agents, with scoped permissions and an audit trail on every call.

Plan Your MCP ServerSecurity Questions
  • Claude
  • ChatGPT
  • Microsoft 365 Copilot
  • Cursor
  • Your own agent
OneMCP server
  • Orders database
  • CRM
  • Ticketing
  • Document store
  • Billing API

One server, built once, usable by every MCP-compatible assistant and agent. Example systems.

One Standard Plug Between AI and Your Tools

The Model Context Protocol, started by Anthropic and now hosted by the Linux Foundation’s Agentic AI Foundation, defines how AI applications discover and call tools and data. Build a server once and any compatible client can use it.

HostClaude, ChatGPT, Copilot or your app
MCP clientAsks each server what it offers
  • CRM servertools · resources
  • Tickets servertools · resources
  • Docs servertools · resources
Widely supported
Claude, ChatGPT, Microsoft Copilot, Gemini, Cursor, VS Code and most agent frameworks speak MCP.
Local or remote
Servers run beside the app on a laptop, or remotely over HTTP for teams and products.
Standard auth
Remote servers use OAuth, so users sign in with their own accounts and permissions.
Discoverable
Clients ask the server what it offers; tools describe their own inputs and outputs.
Open source
Official SDKs in TypeScript, Python, Java, C#, Go and more.
Growing registry
A public registry and many vendor servers for common SaaS tools.
[ Primitives ]

Three Things a Server Can Offer

  • Tools

    Actions the model can take, such as look_up_order or create_ticket, each with a typed input schema.

    create_ticket(customer_id, summary, priority)

  • Resources

    Read-only data the client can load into context, such as a policy document or an account record.

    crm://accounts/acme

  • Prompts

    Reusable templates the user can pick, such as a weekly account review, with the right tools wired in.

    /weekly-account-review
[ How we build ]

Six Steps to a Server Your Security Team Will Approve

Run the server in Claude, ChatGPT and your agents with real tasks before release.

[ Security ]

Five Questions Every MCP Server Must Answer

An MCP server is a new door into your systems. These answers are written down and tested before it opens.

  1. Can the AI see more than the user can?

    No. With OAuth, every tool call runs with the signed-in user's own permissions in the underlying system.

  2. What stops a prompt injection from deleting data?

    Write tools need confirmation, destructive actions are not exposed at all, and inputs are validated on the server.

  3. Who approved this server?

    Servers are listed in an allowlist your admins control in each client, such as Claude, ChatGPT or Copilot.

  4. Where do the results go?

    Only to the client that asked. Results are sized and filtered so sensitive fields never leave unless needed.

  5. Can we see what happened?

    Every call is logged with user, tool, arguments and outcome, and can be sent to your SIEM.

Black USB hub with a row of ports and switches
[ Why it matters ]

Build the Integration Once, Not Once per AI Tool

Before MCP, every assistant needed its own plugin. Now one well-built server works across the AI tools your staff and customers already use, and the next ones too.

Start With One System

Your First MCP Server, Start to Finish

  1. 1CallWe pick the one system worth exposing first and which AI clients should use it.
  2. 2PlanA written list of tools, the permissions each needs and how we will test them.
  3. 3BuildThe server with OAuth, input checks, logging and confirmation on writes.
  4. 4Hand overTested in two AI clients, deployed in your cloud, with a runbook.
Start With the Call
  • PackageAI Agent IntegrationOne remote MCP server for one internal system, with OAuth, logging and tests in two AI clients.$4,000 to $6,0001 to 2 weeksDetails
  • PackageDedicated Developer TrialAn engineer who builds and maintains MCP servers for your platform team.$3,000 to $5,000/mo1 monthDetails
  • Custom projectMCP platformServers for several systems, a gateway, allowlists per client and audit to your SIEM.From $8,000Typically four to eight weeksScope it
  • Packages from $1,500; custom projects from $8,000.

MCP Questions

01What is the Model Context Protocol?
MCP is an open standard for connecting AI applications to tools and data. A server describes the tools, resources and prompts it offers, and any compatible client, such as Claude, ChatGPT or Copilot, can use them.
02Who maintains MCP?
MCP was started by Anthropic and is now hosted by the Agentic AI Foundation under the Linux Foundation, alongside other open agent standards.
03Is it safe to connect AI to internal systems?
It can be, with the right design: OAuth so calls use each user's own permissions, read-only defaults, confirmation for writes, input validation, allowlists in each client and full logging.
04MCP or a regular API?
MCP sits on top of your APIs. It describes tools in a way models understand and handles discovery and auth for AI clients. Your existing APIs stay as they are.
05MCP or A2A?
MCP connects an agent to tools and data. A2A connects agents to other agents. Many systems use both.
06Which clients can use our server?
Most major AI assistants, coding tools and agent frameworks support MCP, including Claude, ChatGPT, Microsoft Copilot, Gemini, Cursor, VS Code and frameworks such as LangGraph and the OpenAI and Claude agent SDKs.
[ Contact ]

Let's build your next product together

Book a free strategy call and leave with a clear plan and estimate. No commitment.

  1. 01Pick a time that suits you
  2. 0230 minutes on scope, stack, timeline and budget
  3. 03Fixed-price proposal, NDA on request
Prefer email? contact@sajaltech.com