MCP Development
FISTA Solutions builds Model Context Protocol servers and clients so agents reach your systems through one governed interface: tools designed around tasks rather than endpoints, per-caller authentication and scoping, complete audit logging, and versioned contracts that do not break agents on release.
- 150+
- projects delivered
- 50+
- companies served
- 99.9%
- verified uptime
- 47%
- efficiency gains
- 12+
- countries reached
What we build
What does MCP development include?
MCP work covers tool surface design around real agent tasks, typed schemas with useful errors, authentication mapped to your identity provider with least-privilege scoping, rate limiting and audit logging, client integration where needed, and versioned deployment.
- 01
Tool surface design
A small set of task-shaped tools rather than a generated wrapper over every API endpoint.
Design - 02
Schemas and errors
Typed inputs and outputs with actionable error messages, because agents recover from good errors.
Contract - 03
Authentication and scoping
Identity mapped to your provider with least-privilege scopes per caller and per tool.
Security - 04
Audit and limits
Every call logged with identity, arguments, and result, plus rate limits protecting the underlying system.
Operations - 05
Versioning and deployment
Versioned contracts with additive changes and contract tests, so agents keep working across updates.
Lifecycle
Requirements
Which requirements shape MCP development?
An MCP server is a privileged access path to your systems. Requirements cover least-privilege scoping, safety on destructive operations, complete auditability, resistance to hostile content in tool results, and contract stability so agents do not break.
| Requirement | Why it matters | How FISTA builds to it |
|---|---|---|
| Least privilege | A wide tool surface is a wide blast radius. | Scopes per caller and per tool with read and write separated, and no wildcard capabilities. |
| Destructive safety | Agents call tools unexpectedly. | Confirmation parameters, approval workflows, or dry-run modes on destructive operations. |
| Auditability | You must know what agents did. | Every call logged with identity, arguments, result, and latency, retained for security review. |
| Hostile content | Tool results can carry injected instructions. | Results marked as data, content sanitized, and guidance so consuming agents do not treat results as instructions. |
| Contract stability | Schema changes break agents silently. | Versioned tools, additive changes, deprecation notices, and contract tests in CI. |
Where AI fits
How should you sequence MCP development?
Build MCP servers for the systems agents need most, starting read-only. A small, well-designed tool surface produces far better agent behavior than a large generated one, so design matters more than coverage.
- 01
1. Pick the system agents need
Usually the system of record whose data most agent questions depend on.
- 02
2. Design task-shaped tools
A few tools matching real tasks, because agents choose badly from long endpoint lists.
- 03
3. Ship read-only first
Safe, immediately useful, and it exercises the authentication and audit layers.
- 04
4. Add writes with safety
Destructive and consequential operations behind confirmation or approval.
- 05
5. Version from the start
Contracts and tests in CI so agents keep working through changes.
Cost and timeline
How much does MCP development cost, and how long does it take?
Cost is driven by systems covered and tool surface complexity; timeline by access approvals and security review. FISTA does not quote blind: the scoping call returns a tool design, a scoping model, and a phased estimate.
Tool design is the work that determines outcome quality. A generated wrapper over every endpoint produces a server agents use poorly; a considered surface produces reliable behavior, and that design effort is where the value sits.
Security review is a reasonable gate on a new privileged access path. FISTA produces the scoping model and audit design early so that review is quick rather than exploratory.
Send the scope you have, even if it is a paragraph. You get a written brief, an architecture sketch, and a phased estimate before any commitment.
Get a scoped quoteDelivery
How does FISTA deliver an AI system?
FISTA delivers AI in four phases: a discovery sprint that defines the success metric, data readiness, and specification; a design that fixes the model strategy, retrieval, guardrails, and evaluation plan; iterative builds scored against a golden set; and a production release with tracing, dashboards, cost budgets, and a change process.
- 1
Discover and define
Use-case selection, data audit, success metrics, risk review, and a written specification with an evaluation plan.
OutputSpecification, golden set, estimate
- 2
Design the system
Model strategy, retrieval and data pipelines, guardrails, human review points, and the deployment target.
OutputArchitecture, model decision record
- 3
Build and evaluate
Two-week increments, each scored on the evaluation harness for quality, latency, and cost, demoed on real data.
OutputEval reports, working system
- 4
Release and monitor
Production deployment with tracing, quality and cost dashboards, drift alerts, runbooks, and a change process that re-runs the evals.
OutputProduction AI system with SLOs
Why FISTA
Why choose FISTA Solutions for MCP development?
FISTA builds MCP servers as permission boundaries with task-shaped tools and complete audit trails, and is an official Anthropic partner building against the protocol as specified rather than as assumed.
MCP Development specifics
- Tools are designed around agent tasks rather than generated from endpoints, which measurably improves agent reliability.
- Scopes are least-privilege per caller and per tool, with read and write separated and no wildcard capabilities.
- Every call is logged with identity, arguments, result, and latency, retained for security review.
- Contracts are versioned with additive changes and contract tests in CI, so agents keep working across updates.
How FISTA engineers
- Spec-Driven Development: every deliverable starts as a written specification with acceptance criteria, so scope is testable before it is built.
- AI-native delivery: engineers direct coding agents under review gates and evaluation harnesses, compressing build time without loosening verification.
- Official Anthropic partner, with production experience across Claude, OpenAI, Google, and open-weight models, chosen per workload rather than by default.
- One accountable delivery lead, weekly demos on your environment, and code in your repositories from week one.
What you get as a client
- 150+ projects delivered for 50+ companies across 12+ countries since 2017, with 99.9% verified uptime on systems we operate.
- A US entity (FISTA Solutions Inc., Wilmington, Delaware) for contracting, invoicing, and IP assignment, with an engineering center in Faisalabad, Pakistan for cost-efficient senior capacity.
- US business-hours overlap for standups and reviews; written decision logs so nothing depends on a meeting you missed.
- Flexible engagement: fixed-scope build, embedded forward deployed engineers, or a dedicated team that you can scale month to month.
Clear answers
What buyers ask before an AI build.
Straightforward guidance for evaluating scope, fit, and the next step.
01What is MCP and why does it matter?
The Model Context Protocol is a standard interface between agents and tools. Building one MCP server for a system makes it available to every compatible agent and client, rather than writing bespoke integrations per agent framework.
02Is exposing internal systems through MCP safe?
It is as safe as its scoping and auditing. FISTA treats an MCP server as a privileged access path: least-privilege scopes, confirmation on destructive actions, rate limits, and complete audit logging.
03How many tools should a server expose?
Fewer than most teams expect. A short list of task-shaped tools produces better agent behavior than dozens of endpoint wrappers, because tool selection quality falls as the surface grows.
04Can you build MCP clients as well as servers?
Yes, where your application needs to consume MCP tools, including connection management, tool discovery, and error handling appropriate to your agent runtime.
05How long does MCP work take?
A read-only server for one well-documented system typically takes weeks including security review; write capability and further systems follow.
Scoped in writing before you commit
Give agents one governed door into your systems.
Bring the system agents need most. The scoping call returns a tool design, a scoping model, and a phased estimate.