Phoenix - Your AI AssistantBuild Custom MCP Server Development.
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2 days
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What you get with this Offer
Most teams using AI assistants eventually hit the same wall: the model is useful in conversation, but it cannot safely work with the real systems where the business runs.
Your workflow may depend on a CRM, internal API, private dashboard, niche SaaS platform, database, spreadsheet, document store, or automation system with no ready connector. I build custom MCP servers that close that gap.
With a custom MCP server, your AI assistant can call structured tools to search records, pull customer data, check pipeline status, create tasks, update fields, process files, fetch reports, query databases, or trigger approved workflows.
This is useful for teams building with OpenAI, ChatGPT apps, Claude, Cursor, Claude Code, custom LLM apps, or internal AI agents.
For a fast MVP, I usually recommend starting with 3–7 high-value tools first. This keeps the project practical for a 2–5 day delivery and helps prove the workflow before expanding into a larger connector.
Your workflow may depend on a CRM, internal API, private dashboard, niche SaaS platform, database, spreadsheet, document store, or automation system with no ready connector. I build custom MCP servers that close that gap.
With a custom MCP server, your AI assistant can call structured tools to search records, pull customer data, check pipeline status, create tasks, update fields, process files, fetch reports, query databases, or trigger approved workflows.
This is useful for teams building with OpenAI, ChatGPT apps, Claude, Cursor, Claude Code, custom LLM apps, or internal AI agents.
For a fast MVP, I usually recommend starting with 3–7 high-value tools first. This keeps the project practical for a 2–5 day delivery and helps prove the workflow before expanding into a larger connector.
What the Freelancer needs to start the work
API endpoint/platform, test credentials, sample data, and the exact workflow you want automated.