Kategorien durchsuchen
Entdecken
Fiverr Pro
Deutsch
$
USD
I will build custom workflow with ai integration using claude code and mcp
Nisar Khan
Über diesen Service
Claude Code is powerful out of the box. With a custom MCP server, it becomes transformative it talks to YOUR tools, YOUR database, YOUR APIs like they were built in.
I build Claude Code and MCP agents tuned to your specific workflow not generic templates.
What I build:
- Custom MCP server exposing YOUR tools to Claude Code
- Agent logic combining your MCP with external MCPs and Claude Code built-ins
- Integrations: databases (Postgres, MySQL, Mongo), APIs, file systems, internal tools
- Prompt and context engineering for your agent's specific tasks
- Sandbox and guardrails so the agent cannot do destructive things unreviewed
- Full docs plus 30-min handoff showing your team how to extend it
Use cases: DevOps copilot on your infra, research agent over private data, data pipeline automation, scheduled report generation, code review or refactor agent, onboarding automation.
2026 edge: most sellers have not caught up to MCP yet. I have. Ship in 5 to 12 days.
Lerne Nisar Khan kennen
Nisar Khan
AI Agent Developer Claude Code LangChain n8n Data Science Expert
- AusPakistan
- Mitglied seitDez. 2022
- ⌀ Antwortzeit1 Stunde
Sprachen
Urdu, Paschtunische Sprache, Englisch
MSc Data Science (SZABIST 2024) + IBM Certified Data Scientist.
I build production AI agents and ML systems that ship business outcomes — not demos. 20+ projects: DT International churn (92.85% ROC AUC), Amazon 4M reviews on Spark (SVM 86%), 160K real-estate forecasts with Prophet (R²=0.80), NanoLM Studio custom transformer SaaS. Stack: Claude Code, LangChain, n8n, MCP, Python, OpenAI, RAG, FastAPI, PostgreSQL, Docker. Business-level English, 1-hour response, unlimited revisions. Timezone-flexible for US, UK, EU, GCC, APAC — 7 days/week.
Free 15-min scoping call before you order.
Mein Portfolio
Meine weiteren Dienstleistungen im Bereich KI-Entwicklung
FAQ
What is MCP?
Model Context Protocol — an open standard (Anthropic, 2024) for connecting AI agents to external tools and data sources. I build MCP servers that expose your tools so Claude Code can use them natively and safely.
Why would I want a custom MCP server?
Off-the-shelf MCP servers (GitHub, Slack, Postgres) only cover public tools. For Claude Code to talk to your internal CRM, proprietary DB, or custom API — you need a custom MCP server. That is what I build.
Difference vs. a regular AI agent?
A regular AI agent calls tools via function-calling at the LLM API level. MCP agents communicate over a standardized protocol — cleaner, more composable, reusable across Claude Code, Claude Desktop, and future MCP-compatible clients.
Can the agent safely modify production data?
By default, no — I build sandbox and guardrails first, then selectively enable write operations with confirmation steps and audit logging. Safety is a design principle, not an add-on.
Do I need Claude specifically?
MCP is Anthropic's protocol, so it is strongest with Claude. Some bridges connect MCP to OpenAI. I recommend the best fit in scoping.
Typical first project?
A DevOps copilot: MCP server exposing logs, deploys, metrics, plus a Claude Code agent that investigates incidents, suggests fixes, updates tickets. Usually 5 to 7 days, $350 to $500.
Do you hand off code or a finished product?
Both — full source (MCP server + agent config + deployment scripts) plus a working deployed instance.
Can my team extend the agent after delivery?
Yes — docs and handoff call show how to add tools, adjust prompts, deploy updates. Standard+ includes a runbook.
