I will build custom mcp server ai agent llm integration


About this gig
I've built MCP servers connecting Claude & ChatGPT to live CRMs and databases. Your AI agent should know your data right now, not last week.
Without an MCP server, your AI works from static context, whatever was indexed last week. It can't check your CRM, query your database, or pull a live customer record through API integration. Every answer is based on yesterday's data. MCP (Model Context Protocol) fixes this, & most businesses don't have anyone building it at enterprise quality yet.
As an AI developer & systems architect, I build custom MCP servers & Claude MCP integrations that give your AI agent real-time access to your actual business tools & data.
What I build:
- Custom MCP server. Connects your LLM or AI agent to databases, CRMs, APIs, & internal tools
- Tool schema and endpoint design. Documented, versioned, authentication-enforced MCP development
- Database connectors. PostgreSQL, Supabase, MongoDB, & SQL with RLS support
- CRM and API integration. Salesforce, HubSpot, Notion, Slack, n8n, &custom platforms
- Security layer. OAuth2, JWT, role-based access scoping, & full audit logging
Message me with your use case, ideas, and I'll scope the build in 24 hours.
Get to know Kendra Jethrom
AI Systems Implementer with HighLevel, AI Chatbot, MCP Server, Live Fix Session
- FromNigeria
- Member sinceJun 2026
- Last delivery1 week
Languages
English, French, Spanish, German
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FAQ
How is an MCP server different from a regular API integration?
A regular API integration is a one-way connection built for one use case. An MCP server is a standardized interface that lets any LLM access your tools dynamically; query your CRM, search a database, or check data mid-conversation.
Which AI models work with MCP servers?
Claude, ChatGPT, and any LLM that supports the MCP standard; which is rapidly becoming the industry default. The MCP server I build works across all compatible models, so you can switch without rebuilding the integration.
How do you handle security for sensitive business data?
Every MCP server includes OAuth2 or JWT authentication, role-based access scoping, and full audit logging. Your LLM can only access the data you explicitly expose ; no broader database access, no unauthorized queries.
Can you build MCP servers for internal tools without a public API?
Yes. For internal systems without native APIs, I build a database connector or middleware layer that exposes the data through a standardized MCP interface your AI agent can query securely.
How long does it take to build and deploy a custom MCP server?
The Basic architecture blueprint takes 5 days. Standard single-source builds take 21 days including testing. Enterprise multi-source platforms take 45 days, depending on integrations and security requirements.

