One MCP Server. Every AI Platform. Zero Custom Integrations.
Custom MCP (Model Context Protocol) servers that let AI tools like Claude Desktop, Cursor, and Windsurf interact directly with your business systems. From single-tool servers to enterprise MCP fleets. Starting at $2,500.
What Is the Model Context Protocol (MCP)?
MCP (Model Context Protocol) is an open standard that lets AI applications connect to your business tools and data sources. Think of it as a universal adapter: instead of building custom integrations for every AI tool on the market, you build one MCP server that exposes your capabilities — and every MCP-compatible AI application can discover and use them immediately.
MCP was created by Anthropic and released as an open standard in late 2024. It's already supported by Claude Desktop, Cursor, Windsurf, Cline, and a growing ecosystem of AI development tools. The protocol defines how AI applications discover your tools, access your data, and execute actions on your behalf — all through a standardized interface with built-in security, permissions, and error handling.
For businesses, MCP represents a fundamental shift in how AI tools interact with your systems. Instead of building and maintaining separate integrations for every AI platform, a single MCP server makes your capabilities available across the entire AI ecosystem. Possibility Engineering builds custom MCP servers that give AI tools governed, secure access to your business data, workflows, and APIs — starting at $2,500.
Why Businesses Need Custom MCP Servers
MCP isn't just a developer tool — it's a business strategy for the AI era. Here's why your company needs a custom MCP server.
🌐 Universal AI Compatibility
Build your integration once, and it works with every MCP-compatible AI tool — Claude Desktop, Cursor, Windsurf, Cline, and future tools we haven't seen yet. No more maintaining separate integrations for every AI platform your team uses. One MCP server serves them all through a standardized protocol.
🔒 Governed AI Access
Your MCP server controls exactly what AI tools can see and do. Read-only access to sensitive databases. Write access only for approved operations. Rate limits to prevent runaway agents. Audit logs for every action an AI takes. Your business stays in control even as your team uses increasingly powerful AI tools.
⚡ Real Business Actions
MCP servers don't just expose data — they enable AI tools to take real actions. Process a refund, update a customer record, generate a report, deploy a configuration change. Your team uses AI tools not just to ask questions, but to execute workflows. This is the difference between an AI that talks and an AI that works.
📈 Future-Proof Integration
MCP is quickly becoming the standard protocol for AI-tool communication. Every major AI platform is adopting it. Building your MCP server today means you're ready for the next wave of AI tools without rebuilding integrations. Companies that adopt MCP early will have a significant advantage as AI becomes the primary interface for business operations.
Your MCP Server Capabilities
From single-purpose MCP servers to enterprise MCP platforms, we deliver production-ready servers that give AI tools governed access to your business capabilities.
Tool Definitions
We define your business capabilities as MCP tools with precise schemas, parameter validation, descriptions, and error handling. Each tool represents a discrete action an AI can take — query a database, call an API, update a record, generate a document.
Resource Exposures
We expose your data sources as MCP resources that AI tools can discover and access on demand. Databases, file systems, APIs, document stores — all accessible through a standardized interface with proper read/write permissions and data validation.
Prompt Templates
We create reusable prompt templates that guide AI tools toward best practices when using your MCP server. These templates encode your business logic, data formats, and common workflows so AI agents don't have to guess how to interact with your systems.
Security & Auth
Every MCP server includes authentication (OAuth2, API keys, or custom flows), permission scoping (read-only vs. read-write per tool), rate limiting, audit logging, and data filtering. AI tools only access what you explicitly allow.
Transport Layer
We implement the appropriate MCP transport — stdio for local development tools, Streamable HTTP for remote and production deployments, with authentication middleware and connection management that handles reconnection, timeouts, and graceful degradation.
Observability
Every MCP server ships with built-in monitoring: tool call counts and latencies, error rates by tool, authentication events, data access patterns, and cost tracking. You always know exactly how AI tools are using your server.
What We Connect via MCP
MCP servers can expose virtually any business system to AI tools. Here are the most common integrations we build.
Databases
PostgreSQL, MySQL, D1, Turso, MongoDB, Redis. Query, insert, update with guardrails.
Internal APIs
Your existing REST and GraphQL APIs. We wrap them as MCP tools without changing your API.
File Systems
R2, S3, Google Drive, SharePoint. Read, write, and search documents and assets.
SaaS Platforms
Salesforce, HubSpot, Jira, Slack, Notion. Read and write through your MCP server.
CI/CD Systems
GitHub, GitLab, Jenkins. Deploy, monitor, and manage pipelines via AI tools.
Payment Systems
Stripe, PayPal. Query transactions, process refunds, manage subscriptions (read-heavy).
Communication
Gmail, SendGrid, Slack, Teams. Send messages, search threads, manage channels.
Custom Systems
Legacy systems, proprietary APIs, internal tools. We build adapters for anything.
Custom MCP Server Development Pricing
Clear, upfront pricing. Every MCP server includes protocol compliance testing, documentation, and compatibility verification across major MCP clients.
- 1 MCP server with 3–8 tools
- Resource definitions for data access
- Prompt templates for common use cases
- Authentication and permission scoping
- MCP protocol compliance testing
- Documentation and integration guide
- 1–2 weeks delivery
- MCP server with 10–25 tools
- Multiple data source integrations
- Multi-step workflow orchestration
- Role-based access controls
- Real-time event subscriptions
- Monitoring, logging, and observability
- Compatibility testing across MCP clients
- 3–6 weeks delivery
- Multiple MCP servers with shared governance
- MCP gateway with routing and discovery
- Enterprise security and compliance controls
- Multi-tenant access management
- Cost tracking and usage analytics
- SLA with dedicated engineering support
- CI/CD deployment with staging environments
- 2–4 months delivery
Need enterprise deployment? See our Enterprise MCP Deployment page or get a custom quote.
MCP Server Development FAQ
Common questions about MCP servers, development costs, and what's involved. Can't find your answer? Ask us directly.
Build Your MCP Server
Tell us which tools and data sources you want to expose to AI. We'll design your MCP server architecture and give you a clear, no-surprise quote within 24 hours.