Product Release: Quid MCP

Key takeaways:

• Quid MCP lets any MCP-compatible AI client, such as Claude or Copilot, work directly with your Quid data.
• Nine capabilities are available today, covering dataset queries through Ask Q, Q Agent runs, and the trend leaderboards.
• Agent runs happen in the background, so you can start a brief and carry on with something else while it finishes.
• Because MCP is a standard, Quid sits alongside your other connected tools, so one question can draw on several of them at once.
• You need a Quid Terminal account, and your existing access and permissions carry across unchanged.

Ask Claude what people are saying about sustainable packaging in your category, and the answer can now come from your Quid datasets rather than from whatever the model happens to know. Quid MCP connects the AI assistant you already work in to the consumer and market data you already pay for, so the research and the writing happen in the same window.

What is MCP?

MCP, short for Model Context Protocol, is a shared standard for connecting AI assistants to outside services.

Before it existed, every pairing of an AI tool and a data source needed its own custom integration, which meant most pairings simply never got built. A standard protocol replaces that with one connection each side implements once, so any compatible client can talk to any compatible service. Quid MCP is Quid's side of that arrangement.

What can you do with it?

Nine capabilities are live today, and they fall into three groups.

[INSERT IMAGE: mcp-capabilities]

Asking your data questions. Your client can see which Quid datasets are available to you, put a question to Ask Q in plain language, and collect the answer. This is the same Ask Q that runs inside Terminal, answering from the same datasets, with the same sourcing behind every response.

Running Q Agents. Q Agents are ready-made research workflows that produce finished briefs: industry profiles, brand and product snapshots, and reports of that kind. Through MCP your client can list the agents available to you, start a run with whatever inputs it needs, and fetch the finished write-up when it's done. A run takes ten to fifteen minutes and returns straight away with a task ID, which means the work continues in the background rather than holding up your conversation.

Pulling trends. You can list the trend leaderboard snapshots that exist by category and time period, pull the trending hashtags on any board along with their rank, momentum and audience demographics, and go one level deeper to the actual posts driving a trend so you can read the conversation in its own words.

Why does that matter?

Most research ends up somewhere other than the tool it came from. The findings become a deck, a brief, a recommendation, or a message to a client, and that writing almost always happens in a different window from the one where the data lives.

Working through MCP collapses that gap. You can ask a question, see the answer, ask the obvious follow-up, and draft from it without moving between tools or pasting results back and forth. When the answer needs more than a quick lookup, an agent run goes off in the background and the finished brief arrives in the same conversation.

It also puts Quid data where automated work already happens. A scheduled process or an internal assistant can query Quid, run an agent, and act on what comes back, which turns market intelligence into something other systems can consume rather than something a person has to go and fetch.

What else can it connect to?

Quid is one connection among several. Your assistant can hold others at the same time, so market conversation sits alongside your CRM, your call recordings and your internal documentation in a single chat.

That opens up questions which used to need three separate pulls and somewhere to reconcile them: whether a theme rising in category conversation is also coming up in your sales calls, which of your accounts operate in a market a trend is moving through, or how an objection your reps keep hearing compares with what the wider market is saying about it.

Every connection you add makes the others more useful, because the questions worth asking usually sit across two or three sources rather than inside one.

What do you need?

A Quid Terminal account, and a client that supports MCP.

Access follows the person rather than the organization, so every request resolves to an individual Quid Terminal user and inherits that user's dataset access, rate limits, and audit trail. Nothing opens up that wasn't already open, and answers stay personalized to whoever is asking.

Wrapping It Up

The useful thing about a standard is that it stops being a feature and starts being plumbing. Quid MCP isn't a new way to analyze data so much as a shorter path to the analysis you were already able to run, available from whichever AI tool you happen to be working in, and sitting alongside whatever else you've connected there.

Ask Q answers, Q Agent briefs, and trend leaderboards are all reachable that way today, with the same data and the same permissions behind them as in Terminal.

Quid MCP is available now. Want to see it connected to your own datasets? Request a free demo.

FAQs on Quid MCP

What is MCP?

MCP, or Model Context Protocol, is a shared standard that lets AI assistants connect to outside services without a custom integration for every pairing. Quid MCP is Quid's implementation of it, which lets any compatible AI client work with Quid data.

Which AI clients work with Quid MCP?

Any MCP-compatible client works, including Claude and Copilot, as well as custom integrations built in-house.

What can you do with Quid through MCP?

Nine capabilities are available: listing your Quid datasets, asking questions through Ask Q and retrieving the answers, listing and running Q Agents and collecting the finished briefs, and pulling trend leaderboards, trending hashtags, and the posts behind them.

Do you need a Quid account to use Quid MCP?

Yes. Quid MCP requires a Quid Terminal account, and every request resolves to an individual user, inheriting that person's dataset access, rate limits, and audit trail.

How long does a Q Agent run take through MCP?

A Q Agent run takes ten to fifteen minutes. The call returns immediately with a task ID and the run continues in the background, so you can keep working and collect the brief when it's finished.