MCP · Research

MCP-powered web research agent

Built on MCP (Model Context Protocol) so the agent discovers and uses the Brave Search tool dynamically — no hardcoded tool wiring. The agent lists what's available, picks the right search call for the question, runs it against the live web, and GPT-4 synthesizes the result into a clean answer with sources.

workflow · mcp research

User asks a research questionstep 1 / 7

Try it · live sample run

Run this loop right now

Same pipeline, sample data. Pick an input, hit run, and watch what lands on the other end — this is the output your team would wake up to.

sample run · mcp researchersample data

Pick a research question

// execution log — hit run to watch the loop work

Output lands here — leads, emails, CRM records…

Simulated run with sample data — the production loop does exactly this against your real accounts.

Stack in this flow

MCP

Model Context Protocol — dynamic tool discovery

Brave Search

Privacy-respecting web index

OpenAI

GPT-4 reasoning + synthesis

n8n

Orchestration + simple in-memory store

What makes it production-ready

Live web grounding

Every answer is backed by results from the open web, fetched at the moment of the question.

Dynamic tool discovery

Add or swap MCP servers and the agent picks up the new tools automatically — no code changes.

Source-backed

Every claim cites the URL it came from so the user can verify in one click.

Cost-aware

Only calls Brave when the question actually needs the web — otherwise answers from context.

Want one built for you?

I build workflows like this end-to-end — scoping, infrastructure, agent prompt, evals, the lot.

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