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I will build your custom mcp server for ai agent and llm integration
Kendra Jethrom
About this gig
I've built MCP servers connecting Claude and ChatGPT to live CRMs and databases. Your AI should know your data right now not last week.
Without MCP, 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. Every answer is based on yesterday's data. MCP fixes this and most businesses don't have anyone building it at enterprise quality yet.
As an AI Developer and Systems Architect, I build custom MCP servers that give your AI real-time access to your actual business tools and data.
What I build:
- Custom MCP server connects your LLM to databases, CRMs, APIs, and internal tools
- Tool schema and endpoint design documented, versioned, authentication-enforced
- Database connectors PostgreSQL, Supabase, MongoDB, and SQL with RLS support
- CRM and API integration Salesforce, HubSpot, Notion, Slack, and custom platforms
- Security layer OAuth2, JWT, role-based access scoping, and full audit logging
Your AI reads current data, takes real actions, and gives answers that are true right now.
Message me with your use case and systems you need connected I'll scope the build in 24 hours.
Get to know Kendra Jethrom
Kendra Jethrom
AI Voice Agent Developer, using Vapi and Retell AI for Inbound, Outbound calls
- FromNigeria
- Member sinceJun 2026
- Avg. response time1 hour
Languages
English, French, Spanish, German
Every missed call is a lost customer or a lost deal. I build AI voice agents that answer, qualify, and book.
Four voice AI categories:
→ Inbound Voice AI: ai call agent, customer service, inbound automation, missed calls
→ Outbound Voice AI: ai calling, warm outreach, sales automation, re-engagement
→ Appointment Setting: ai appointment setter, sales closer support, calendar booking
→ Custom Voice Agents: Vapi, Retell AI, Synthflow AI, webhook automation, function calling
24/7. No script fatigue. No missed calls. Message me with your call volume.
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.
