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    Make your SaaS work inside Claude, ChatGPT, Gemini or other AI tools

    AI Connector and MCP Server Development

    We build secure connectors that let AI assistants use your product on your customers' behalf.

    Last reviewed 03 November 2026

    In short

    RudraX Technologies, a London software agency, builds MCP servers and AI connectors that let B2B SaaS products work inside Claude, ChatGPT and other AI assistants. Projects take 3 to 8 weeks from £10,000, with OAuth security, testing and launch support included.

    From

    £7,000

    Engagement

    Fixed price

    Typical delivery

    3–8 weeks

    Overview

    What we deliver.

    RudraX designs and builds MCP (Model Context Protocol) servers and tool-calling connectors for B2B (business-to-business) SaaS (software as a service) products. Your customers can then search, create and take action in your platform directly from Claude, ChatGPT and other AI assistants.

    Your customers are starting their work inside AI assistants. If your product cannot be reached from there, they will copy and paste between tabs, or they will pick a competitor that can be reached.

    The Model Context Protocol (MCP) is the open standard that Claude, ChatGPT and a growing list of AI tools use to connect to outside software. We turn your existing API (application programming interface) into a well-designed MCP server: a set of tools an AI model can understand, choose correctly and use safely.

    What we do

    • Map your API to the jobs your customers actually want done, rather than exposing every endpoint
    • Build a remote MCP server with OAuth 2.1 sign-in, so each user only sees and changes what they are permitted to
    • Add guardrails: confirmations on write actions, rate limits, input validation and audit logs
    • Test the connector with real AI assistants and measure how often the model picks the right tool
    • Support you through listing in AI assistant directories and app stores

    Who it is for

    Product and engineering leaders at B2B SaaS companies who want an AI distribution channel without pulling their core team off the roadmap.

    Fit

    Is this right for you?

    Ideal for

    • B2B SaaS companies with a working API that want to be usable inside Claude and ChatGPT Product teams that want an AI distribution channel without diverting their core engineers Fintech, HealthTech and GovTech platforms that need permission-aware, auditable AI access Scale-ups preparing a listing in AI assistant directories

    Not the right fit if

    • Products with no API or a poorly documented one, until the API work is scoped first Teams that only want a chatbot widget on their website Anyone looking for a no-code template for under £2,000

    Key facts

    The numbers behind it.

    1. 01RudraX Technologies is headquartered in London
    2. 02Every RudraX client to date has returned for further work.
    3. 03Connector projects are delivered in 3 to 8 weeks.
    4. 04Fixed-price connector builds start from £7,000
    5. 05Every connector is tested in Claude and ChatGPT before launch

    Capabilities

    What you can ask us to build.

    Remote MCP server built on your existing API

    OAuth 2.1 authentication with per-user permissions

    Tool design and description writing so AI models choose the right action

    Read-only connectors, then safe write actions with user confirmation

    Support for listing in AI assistant directories and app stores

    Usage analytics, logging and monitoring

    Security hardening against misuse, including prompt-injection safeguards

    Ongoing maintenance as the MCP specification and AI platforms change

    Process

    How we work.

    01

    Discovery (week 1)

    we agree the 5 to 10 customer jobs the connector must handle and audit your API, authentication and data model.

    02

    Tool design (week 1 to 2)

    we write the tool specification, permission model and success measures for your sign-off.

    03

    Build (weeks 2 to 5)

    we build the MCP server, sign-in flow, guardrails and automated tests.

    04

    AI evaluation (weeks 5 to 6)

    we test the connector in Claude, ChatGPT and other assistants against real prompts, then tune tool descriptions until accuracy targets are met.

    05

    Security review and launch (weeks 6 to 7)

    we complete penetration-style checks, deploy to production and prepare directory submissions.

    06

    Handover and support

    we provide documentation, a runbook and an optional monthly maintenance plan.

    Areas served

    United KingdomEuropean UnionGCC (Gulf Cooperation Council)United States

    Compare

    In-house vs RudraX vs off-the-shelf

    In-houseRudraXOff-the-shelf
    Time to launch3 to 6 months alongside the roadmap3 to 8 weeksDays, but generic
    Upfront costEngineer salaries and opportunity costFixed price from £7,000Low, plus subscription
    MCP and AI tool design expertiseLearnt on the jobCore specialityNone; exposes raw endpoints
    Fit to your product and permissionsHighHighLow
    Tested with real AI assistantsDepends on the teamIncludedRarely
    Ongoing updates as the protocol changesYour team's jobOptional maintenance planVendor's timetable

    Tech stack

    Tools we reach for.

    TypeScriptPythonMCP SDKs (software development kits)Node.jsOAuth 2.1AWS (Amazon Web Services)Cloudflare WorkersDockerPostgreSQL

    Outcomes

    What good looks like.

    • Your product is usable from Claude, ChatGPT and other MCP-compatible assistants
    • Customers complete common tasks without leaving their AI assistant
    • A new distribution channel through AI assistant directories Secure, permission-aware access with full audit logs
    • Measured tool accuracy before launch, not guesswork
    • Your core engineering team stays focused on the product roadmap

    FAQ

    Frequently asked questions

    Talk to our team

    Scope your AI Connector and MCP Server Development project.

    Share a few details and we will reply within one working day with a shaped scope, indicative timeline, and the team we would put on it.

    Headquarters
    London, United Kingdom
    Response time
    Within one working day

    Prefer to book a time?

    Goals, timelines, links — anything that helps.0/5000

    How the intro call works

    Everything you need to know before booking

    Thirty focused minutes with a senior engineer — no slide decks, no sales pitch. Here's how we make it useful.

    1. 30 minutes over Google Meet. We'll send a calendar invite with the link once you book.

    Still have questions? Book the slot — we'll answer everything live.