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Model Context Protocol Service
Connect your AI agents to every tool you use via the Model Context Protocol. We configure MCP servers for Claude Code, Cursor, VS Code, Windsurf, and more — or build custom MCP servers for your proprietary APIs.
50+ integrations. stdio and HTTP transport. OAuth and API key auth. Enterprise-grade security. Setup in under 2 hours.
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MCP servers configured across GitHub, Gmail, Slack, Stripe, databases, CRMs, and custom APIs.
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Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, OpenClaw, and custom clients.
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stdio for local tools, HTTP for remote servers, SSE for legacy streaming connections.
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From zero to fully connected AI tools with authentication, testing, and documentation.
How It Works
From discovery to deployment, every step is handled professionally. You focus on building with AI — we handle the plumbing.
We review your current AI development setup, identify which tools and services your AI agents need access to, and map out the MCP servers required. We determine the right transport protocol (stdio for local, HTTP for remote) and authentication strategy for each integration.
For standard integrations (GitHub, Gmail, Slack, databases), we select and configure proven MCP servers. For custom needs, we develop a new MCP server in TypeScript or Python with proper input validation, error handling, and authentication. All servers follow the official MCP specification.
We configure OAuth 2.0 flows, API keys, service accounts, and token refresh mechanisms for each MCP server. Credentials are stored securely using environment variables or secret managers. We implement rate limiting and input sanitization to prevent abuse.
Every MCP server is tested end-to-end with your AI client. We verify tool discovery, parameter passing, response handling, error recovery, and authentication renewal. Custom servers include a full test suite. We test in your actual development environment, not a sandbox.
MCP servers are deployed to your infrastructure with monitoring and logging. You receive complete documentation covering configuration, troubleshooting, and extension guides. We provide a live walkthrough and ongoing support for questions and updates.
Two Options
Whether you need pre-built MCP servers configured or a custom MCP server developed from scratch — we handle the entire process professionally.
Connect existing MCP servers to your AI tools
We configure and connect pre-built MCP servers to your AI development environment. Whether you use Claude Code, Claude Desktop, Cursor, VS Code, or Windsurf, we set up the MCP servers that give your AI agent access to GitHub, Gmail, Google Calendar, Slack, file systems, databases, web scraping, and dozens of other tools. Everything is tested, documented, and production-ready.
Ideal for: Developers and teams who want to connect existing MCP servers to their AI tools without the setup headaches.
We build MCP servers tailored to your tools and workflows
Need an MCP server that does not exist yet? We build custom MCP servers in TypeScript or Python that connect your AI agents to proprietary APIs, internal tools, SaaS platforms, legacy systems, and custom workflows. From Stripe billing automation to CRM data access to internal dashboard queries, we build the bridge between your AI and your business tools.
Ideal for: Companies that need AI agents to interact with proprietary tools, internal APIs, or custom business logic that no off-the-shelf MCP server covers.
Integrations
These are the most popular MCP servers we configure and build. If your tool is not listed, we can build a custom MCP server for it.
Repos, PRs, issues, code search, Actions, releases
Read, send, search, label, and draft emails with OAuth
Create, read, update events and check availability
Send messages, read channels, search workspace history
Customers, invoices, subscriptions, payment management
Query, insert, update data with read-only or full access
Document queries, aggregations, and collection management
Puppeteer and Playwright for browser automation and scraping
Read, write, search, and manage files on disk
Execute commands, scripts, and system operations
Connect to any REST endpoint with auth and error handling
GraphQL, WebSocket, gRPC, and proprietary protocols
“Full SaaS with real-time messaging, video rooms, and Stripe billing — production-ready in under a month. The MCP integrations connected everything seamlessly.”
Marc Dubois
Founder, Kommu
Side by Side
Both options give you fully working MCP servers with authentication and testing. Custom development adds proprietary API connectors, business logic, and ongoing maintenance.
| Feature | Configuration | Custom Dev |
|---|---|---|
| Pre-built MCP Server Setup | ||
| Platform Configuration (Claude, Cursor, VS Code) | ||
| stdio Transport Setup | ||
| HTTP / Streamable HTTP Transport | ||
| OAuth 2.0 Authentication | ||
| API Key Authentication | ||
| GitHub, Gmail, Slack MCP Servers | ||
| Database MCP Servers (PostgreSQL, MongoDB) | ||
| Testing and Verification | ||
| Documentation and Handoff | ||
| Custom MCP Server Development | ||
| Proprietary API Integration | ||
| Internal Tool Connectors | ||
| Custom Business Logic in Tools | ||
| GraphQL / WebSocket / gRPC Support | ||
| CI/CD Pipeline for MCP Server | ||
| Rate Limiting and Security Hardening | Basic | |
| Monitoring and Logging | ||
| Ongoing Maintenance and Updates |
Platforms
We configure MCP servers for every major AI development platform. One protocol, every tool.
Anthropic's CLI agent with full MCP support via claude_desktop_config.json
Desktop app with native MCP server management and OAuth flows
AI-first IDE with MCP server integration for context-aware coding
GitHub Copilot MCP support for inline AI tool access
Codeium's AI IDE with MCP server configuration for autonomous workflows
Open-source AI assistant with MCP server connections for extended capabilities
Any MCP-compatible client via the open Model Context Protocol specification
FAQ
Everything you need to know about the Model Context Protocol, MCP server setup, custom development, transport protocols, authentication, and pricing.
Why Us
We run a 267-agent AI operating system built on MCP. This is not side work for us — MCP is the foundation of our entire infrastructure.
GitHub, Gmail, Slack, Stripe, PostgreSQL, MongoDB, custom CRMs, proprietary APIs — we have built and configured MCP servers for all of them in production environments.
We build MCP servers from scratch in TypeScript and Python. Proper input validation, error handling, OAuth token refresh, rate limiting, and comprehensive test suites. Not boilerplate — production-grade.
Claude Code, Claude Desktop, Cursor, VS Code, Windsurf, OpenClaw — each platform has different MCP configuration quirks. We know them all and configure correctly the first time.
OAuth 2.0 with automated token refresh, API key rotation policies, input sanitization, rate limiting, and least-privilege permissions. Every MCP server is secured before deployment.
Standard MCP setup completed in 1-2 hours. Custom server development in 1-3 days. No multi-week consulting engagements. Your AI tools are connected fast.
Built and maintained by Gareth Simono, Founder of Agentik OS
Stop wrestling with MCP configuration files. Stop debugging OAuth flows. Stop writing boilerplate transport code. Tell us your tools and we will design the MCP architecture.
Free 30-minute architecture call. Bring your tool list. We will map out every MCP server, transport protocol, and auth flow you need.