MCP Server Development

The Model Context Protocol (MCP) is an open standard that enables AI assistants to connect with external tools and data sources. Think of it as a universal adapter that lets AI agents interact with your systems in a standardized, reliable way.

Instead of writing custom integration code for each AI tool, MCP provides a consistent interface. Build an MCP server once, and it works with Claude Desktop, Cursor, Cline, and any other MCP-compatible client.

Why MCP Matters:

• Standardization — One integration works across multiple AI clients
• Security — Controlled access to your data and APIs
• Extensibility — Add new capabilities to AI assistants without waiting for vendor support
• Future-proof — Open protocol backed by Anthropic and growing ecosystem

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, Cursor, 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