India-built AI & blockchain engineering since 2017 · Serving clients worldwide

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AI & Data

MCP Integration Services

Speqto builds MCP integration for companies that want AI assistants to work with their real systems. We design Model Context Protocol servers that expose your tools and data in a controlled way, and clients that connect assistants and agents to them. It suits engineering leads who need access, safety and audit handled properly.

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  • Prototype in weeksProof before big budgets
  • Weekly demosSee progress, not slides
  • You own the codeFull IP assignment
  • 128+ engineersFive offices, three continents

What the Model Context Protocol does for you

The Model Context Protocol is an open standard that describes how an AI application discovers and calls external capabilities. An MCP server publishes tools, readable resources and prompt templates, and any compatible client, such as an IDE assistant, a desktop chat app or your own agent, can use them without a custom connector for each pairing. Anthropic introduced the protocol, but it is open and now supported across many vendors and tools.

The practical benefit is reuse. One well-built server for your ticketing system, data warehouse or internal API can serve several assistants and models today and whichever you adopt next year. That replaces a tangle of one-off plugins with a single maintained interface that security teams can actually review. Tool names and parameters are written for a model reader, with examples and clear boundaries, which improves selection noticeably.

Designing servers that are safe to expose

A tool description is also an instruction to the model, so it must be precise about what a call does, what arguments mean and what it will never do. We keep tools small and task-shaped instead of mirroring every database table, return only the fields a task needs, and mark read-only operations separately from actions that change state. Prompt templates and resources can also be published, giving users reusable starting points beyond raw tool calls.

Authentication matters as much as design. Remote servers use OAuth-based flows so the assistant acts with the signed-in user's rights, never a shared superuser key. We validate every input, rate limit calls, log requests for audit, and treat text returned from tools as untrusted so it cannot silently steer the model. Sensitive operations return a preview first, then execute only after the user or a policy confirms.

Building, hosting and testing

We write servers in TypeScript or Python using the official SDKs, over stdio for local use or streamable HTTP for hosted deployments. Hosted servers run behind your gateway with secrets management, versioned releases and health checks, so a change to a tool does not surprise the assistants that depend on it. Versioning matters because changing a tool's meaning can alter assistant behavior without any visible error.

Testing goes beyond unit tests. We use the MCP Inspector for manual checks and write scenario tests where a model is asked real questions, then confirm that it picks the right tool and arguments. Weak descriptions show up quickly this way and are rewritten until selection becomes dependable. Findings feed back into descriptions, argument names and error messages, which often matter more than model choice.

What we do

What our MCP Integration Services team delivers

Specific work we do for clients, with the senior people who do it.

  • MCP server development

    Custom servers that wrap internal APIs, databases and SaaS tools as well-described tools and resources for AI clients.

  • MCP client integration

    Adding MCP support to your own agents, apps or chat interface so they can discover and call approved tools.

  • Authentication and access control

    OAuth flows, per-user permissions, scoped tokens and approval prompts so assistants never exceed the rights of the person using them.

  • Legacy system exposure

    Wrapping older SOAP, database or file-based systems behind clean, narrow tools that models can use without risk, so that models never touch fragile internals directly.

  • Gateway and governance

    Central registry, allow-lists, rate limits and audit logging for the MCP servers used across your organization, so teams can discover approved servers and their owners.

  • Tool quality testing

    Scenario suites that check whether models choose the right tools and arguments, with description fixes and regression runs.

Why Speqto

A team you can rely on from the first call

The habits that keep projects calm: clear scope, visible progress and engineers who stay accountable.

  • Building since 2017

    Nine years of shipping web, mobile, AI and blockchain products for startups and enterprises.

  • 128+ engineers

    A bench of senior engineers, designers and QA, so one person leaving never stalls your product.

  • Offices on three continents

    Noida HQ with teams in Surat, London, the US and Ho Chi Minh City for overlapping working hours.

  • AI-first workflow

    AI-assisted coding, testing and reviews speed delivery, with a named human accountable for every merge.

  • Weekly demos

    You see working software every week and can redirect early, long before a release surprise.

  • You own everything

    Full IP assignment, repository access from day one and an NDA before we talk details.

How we deliver

A proven process from idea to scale

Transparent, agile delivery with weekly demos and clear milestones, so you always know what is shipping and why.

  1. 01

    Discover

    Workshops to understand goals, users, data and success metrics.

  2. 02

    Plan

    Architecture, roadmap, estimate and a team shaped to your needs.

  3. 03

    Design

    UX flows, prototypes and technical design validated with stakeholders.

  4. 04

    Build

    Agile sprints with weekly demos, code reviews and automated testing.

  5. 05

    Launch

    Secure deployment, monitoring and a smooth go-live.

  6. 06

    Scale

    Ongoing optimization, new features and support as you grow.

Technology

Tools and platforms for MCP Integration

The stack our engineers use on this kind of work every week.

  • MOModel Context Protocol
  • MCMCP TypeScript SDK
  • MCMCP Python SDK
  • MCMCP Inspector
  • OAOAuth 2.1
  • FastAPI
  • Node.js
  • Docker
  • Claude
  • OPOpenAI Agents SDK
  • CLCloudflare Workers
  • OPOpenTelemetry
Outcomes

What you can expect

Every engagement is tied to measurable business results, not just deliverables.

01

One integration, many assistants

A single maintained server serves different AI clients and models, which cuts duplicated connector work.

02

Assistants that act within user rights

Per-user authorization and audit logs keep AI actions traceable and consistent with existing access policies.

03

Faster agent projects

Ready, tested tools mean new agents start from a catalog of capabilities instead of rebuilding integrations.

Engagement models

Work with us the way that suits you

Start small, change the shape later. Every model includes weekly demos and full IP ownership.

Dedicated Development Team

Long-term products & roadmaps

A full, cross-functional squad (engineers, QA, designer, PM) working only on your product, managed with your processes and tools.

  • Scale up or down with 30 days notice
  • Overlap with your working hours and daily stand-ups
  • Direct access to every team member
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Staff Augmentation

Filling skill gaps fast

Pre-vetted senior engineers who join your in-house team within days to add capacity or specialist expertise.

  • Profiles shared within 48 hours
  • Flexible monthly contracts
  • Replacement guarantee
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Fixed-Scope Projects

MVPs & well-defined builds

A clear scope, timeline and price, delivered in milestones with demos at every stage.

  • Detailed estimate after discovery
  • Milestone-based billing
  • Warranty period after launch
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Managed Services

Ongoing support & operations

We run and continuously improve your applications, cloud and infrastructure under defined SLAs.

  • 24/7 monitoring options
  • Monthly reporting and reviews
  • Predictable monthly pricing
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Selected work

Products we have built

Real products shipped by our teams across fintech, Web3, AI and consumer apps.

Pirates x Algo Trading product screenshot Trading Bot

Pirates x Algo Trading

A high-frequency forex trading robot that uses sentiment algorithms, market trends and PIPs to place profitable orders for a positive…

  • Python
  • Django
  • MongoDB
  • MT4/MT5
3 Month · 6 Members SignalSyncFX product screenshot Trading Bot

SignalSyncFX

SignalSyncFX is an automated forex trading platform. Using advanced algorithms, it lets traders execute trades without manual intervention to optimize…

  • React
  • Node.js
  • Express
  • Coinbase
4 Months · 4 Members Soldex AI product screenshot AI Solutions

Soldex AI

Established in 2021, Soldex is a decentralized trading protocol on Solana. Using artificial intelligence and machine learning, Soldex addresses real-time…

  • React
  • Java
  • MongoDB
  • Web3
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See all projects

Industries

Sectors we know well

Domain context shortens discovery and avoids costly rework.

FAQ

MCP Integration Services FAQs

Straight answers on cost, timelines, IP ownership, team setup and how we work. Cannot find yours? Ask a solutions architect directly.

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What is MCP integration?

MCP integration means building or connecting Model Context Protocol servers and clients, so AI assistants can discover and call your tools and read your data through one standard interface instead of bespoke plugins for each assistant.

Is MCP secure for company data?

It can be, but security comes from how you build it. Use per-user OAuth, narrow tools, input validation, rate limits and audit logs, and treat tool output as untrusted. The protocol alone does not enforce any of this.

How is MCP different from a normal API?

An API is written for developers who read documentation. An MCP server describes its tools in a form a model can read and choose from at run time, with standard discovery, so the assistant can use it without hard-coded glue.

Can we use MCP with our existing agents?

Often yes. Many frameworks and assistants already support MCP clients. We add a client where one is missing, connect it only to servers you approve, run a short pilot, and test that the agent selects tools correctly before release.

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Client reviews

Rated 5.0/5 by clients on Clutch

Independent, verified reviews from founders and technology leaders we have worked with. Read them in full on each platform.

Clutch 5.0 12 reviews Google 4.4 43 reviews Techreviewer 4.9 20 reviews DesignRush 4.5 2 reviews Upwork 4.9 124 reviews GoodFirms 5.0 1 review Glassdoor 4.1 49 employee reviews

“What I found most impressive about Speqto Technologies was their profound technical depth.”

Andrea Daminelli Founder & Co-CEO, Daze Milan, Italy · Blockchain development for an EV charging company
Verified review on Clutch

“The project management throughout this complex undertaking was exceptionally proactive and structured.”

Rostyslav Burylo CEO, Lynksen Lisbon, Portugal · Blockchain development
Verified review on Clutch

“Their ability to translate complex cryptographic concepts into actionable, business-aligned strategies set them apart.”

Oleksandr Sendulskyi Senior Marketing Manager, BINTIME IT Company Ukraine · Blockchain development services
Verified review on Clutch

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  • NDA on request, before we talk details
  • Estimate within 3–5 business days
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