MCP Server Development

The Model Context Protocol (MCP) is an open standard that lets AI assistants connect to external tools and data sources through one consistent interface. Think of it as a universal adapter between AI agents and your systems.

Introduced by Anthropic in late 2024, MCP has become the de facto industry standard — adopted by OpenAI, Google, and Microsoft, and supported by hundreds of client applications with tens of millions of monthly installs. Build an MCP server once, and it works across Claude, ChatGPT, Cursor, VS Code (GitHub Copilot), Windsurf, Cline, Goose, and the wider MCP ecosystem — no per-tool integration code.

Why MCP Matters:

• Standardization — One integration works across every major AI client
• Security — Controlled, permissioned access to your data and APIs
• Extensibility — Add new capabilities to AI assistants without waiting for vendor support
• Industry standard — An open protocol backed by Anthropic, OpenAI, Google, and Microsoft on a shared, versioned spec

Custom MCP Server Development — I build production-ready MCP servers tailored to your needs. Whether it's connecting AI to your internal APIs, databases, SaaS tools, or custom data sources, I create robust servers with proper error handling, authentication, and documentation.

API Integration — Connect AI assistants to external services like CRMs, project management tools, analytics platforms, or any REST/GraphQL API. I handle authentication flows, rate limiting, and data transformation to ensure reliable integration.

Data Source Connectors — Give AI assistants access to your databases, knowledge bases, or document repositories. I implement secure, efficient querying with proper access controls and caching strategies.

Tool Chain Development — Build sophisticated tool chains that combine multiple operations into cohesive workflows. For example, a server that can search documentation, analyze code, and generate implementation suggestions in a single query.

Open Source Contributions — Need an MCP server for a popular service? I can develop and open source it, benefiting the entire MCP community while meeting your needs.

Development Tools:

• GitHub integration for PR reviews, issue management, code search
• GitLab/Bitbucket connectors for self-hosted version control
• CI/CD pipeline integration for build status and deployment info
• Documentation search across internal wikis and knowledge bases

Business Systems:

• CRM integration (Salesforce, HubSpot, custom systems)
• Project management (Jira, Linear, Asana, custom tools)
• Analytics platforms (Google Analytics, Mixpanel, custom dashboards)
• Customer support systems (Zendesk, Intercom, help desks)

Data & Content:

• Database query interfaces with secure access controls
• Content management systems (WordPress, Contentful, custom CMSs)
• Document repositories (SharePoint, Google Drive, internal storage)
• Search engines and knowledge graphs

Specialized Domains:

• Financial data APIs and market information
• Healthcare systems with HIPAA compliance
• Educational platforms and learning management systems
• E-commerce platforms and inventory systems

1. Requirements Gathering — We define the tools, resources, and prompts your MCP server needs to provide. I'll help you think through authentication, permissions, and error handling requirements.

2. Architecture Design — I design the server architecture, choosing between TypeScript or Python implementation based on your needs. For complex integrations, I create a technical design document for review.

3. Implementation — I build the MCP server with clean, maintainable code, comprehensive error handling, and full TypeScript typing (or Python type hints). All servers include logging and debugging capabilities.

4. Testing & Documentation — Thorough testing with real AI clients (Claude Desktop, ChatGPT, Cursor, VS Code, etc.) ensures reliability. Complete documentation covers installation, configuration, and usage examples.

5. Deployment Support — I provide guidance on deployment options (local, npx, Docker) and help integrate the server into your team's workflow.

• MCP Expertise — Active contributor to the MCP ecosystem with published open source servers
• Production Quality — Professional code with proper error handling, logging, and security
• Documentation First — Clear, comprehensive docs that make server adoption easy
• TypeScript & Python — Fluent in both major MCP server languages
• Fast Turnaround — Simple servers in 1-2 weeks, complex integrations in 4-6 weeks
• Open Source Friendly — Happy to open source servers when appropriate