MCP server? Sounds technical… I'm not an engineer! 😬
Don’t worry! While it’s easy to get caught up in the terminology, this feature is super straightforward to set up and use. You’ll just find the connector in your AI account, enter your Conductor credentials, and you’re ready to go.An MCP (model context protocol) server is just a technology that lets existing AI models (like ChatGPT or Claude) connect to data from a third-party. Conductor’s MCP server connects AI models to your Conductor data, so you can query the AI model about your data.
Why should I use Conductor’s connector instead of asking LLMs directly?
Standard LLMs generate answers based on training data, which is often outdated or prone to “hallucinations” (guessing). Conductor’s connector uses a “split reasoning” architecture: LLMs understand the user’s intent and handle the conversation, but Conductor’s API provides the data and facts. This ensures you get verified, accurate intelligence rather than a best guess.
What’s the difference between a local MCP server versus a remote MCP server (e.g., ChatGPT, Claude)?
“Local MCP” means the connection runs directly on your personal computer, whereas “remote MCP” runs in the cloud as a direct server-to-server connection. Conductor has architected our platform to support both. While we are launching our Remote MCP first to power this integration with ChatGPT, this infrastructure is universal—allowing us to easily expand our verified connector to other LLMs and interfaces (e.g., Copilot, Gemini, etc.) in the future.
What is the difference between Conductor’s Data API and MCP Server?
Conductor’s Data API is the core infrastructure that allows you to request data programmatically for any use case—including BI dashboards, custom applications, and automated reporting. The MCP Server is a specialized connector built on top of the API that formats this data specifically for AI agents like ChatGPT and Claude. You get access to the power of both.
When should I use the MCP vs. the Data API?
Both pull from the same Conductor data—the difference is what you get back and what you plan to do with it. Use the MCP when you want an answer: you’re asking a question in plain language and want a clear, insightful response, ideal for exploring, spot-checking, and “just tell me what’s going on.” Use the API when you want the raw data to build something, like piping large exports into a BI dashboard (Tableau, Power BI, Looker), a data warehouse, or a report that refreshes automatically. That’s a plumbing job and generally needs a developer or data team to set up and maintain.If you’re not sure which to use, ask yourself: are you trying to understand something (MCP), or feed another tool (API)?
What data from Conductor is available through the MCP server?
Check out our article about the available tools you can call with your LLM.
Can the MCP write data back into Conductor?
Currently, Conductor’s MCP is focused on letting you query and analyze your Conductor data—it doesn’t write data back into the platform.
What can't the MCP do right now? What's on the roadmap?
Capabilities like pulling exact citation URLs for every prompt or integrating directly with third-party BI tools aren’t available yet. Several capabilities like these are on our roadmap.If there’s something you’d like the MCP to do, share it with your Conductor team as product feedback—it helps us prioritize.
Do Conductor skills work the same in every assistant?
Basic MCP queries like “show me my brand mention coverage for the topic of SEO” work across supported assistants, including Copilot. The richer, multi-step skills (audits, dashboard-style summaries with visualizations) are currently optimized for Claude and ChatGPT, where results are most reliable. We’re actively exploring how to bring the full skills experience to Copilot.One other difference: Claude and ChatGPT show you each tool call the assistant makes, while Copilot runs them behind the scenes. You can ask Copilot to report which tools it used if you need it.
Do I need to re-download a skill every time it's updated?
No. Skills can check their own version against the latest published version, so you stay current without manually re-downloading.
What AI platforms can I connect Conductor's MCP server to?
To start, we allow connections to:
OpenAI’s ChatGPT Pro, Business, or Enterprise plans, using a plugin available in their plugin directory. Because ChatGPT and Codex share the same plugin install, one setup covers both.
Anthropic’s Claude Pro, Max, Team, and Enterprise plans, using either Conductor’s connector in Claude’s directory or a custom connector you can build. One setup covers Claude, Claude Cowork, and Claude Code.
Microsoft’s Copilot. Note that access can vary across plans and access level. Check with your IT team to verify what you have access to.
Perplexity’s individual Pro plans and Enterprise plans.
Most other AI surfaces that allow connections to MCP servers.
Who can get access to Conductor's connectors to LLMs?
The connectors are available to all Conductor customers with access to supported LLMs. You will need an active Conductor login to authenticate the connection.
Why don't I see the Conductor app in my LLM's marketplace?
The most common reason you don’t see it has to do with permissions or security settings at your organization. Many apps need to be requested and approved by your IT team.How that approval works depends on the platform. In Claude, on Team and Enterprise plans an Owner or Primary Owner has to add Conductor to the organization before members can connect to it. In ChatGPT, a Workspace admin may need to allow the plugin on your account. In Copilot, you might have to click Request approval and wait for your IT team.If you can’t get the native app enabled, check whether your platform also supports a custom connector—in Claude, for example, you can add one yourself on Pro and Max plans. Your platform’s setup guide covers every path available to it.Also, be sure to note which LLMs Conductor supports with a native app in their ecosystem.
Why do custom connections sometimes have access to more MCP tools?
When Conductor releases new tools for your MCP connections to use, we add them to our MCP server, and you can then immediately update your connection to get access.New versions of native apps, plugins, and directory connectors—like Conductor in ChatGPT, Claude, or Copilot—go through an approval process when submitted to an LLM. Because of this, there can be a lag between when we submit a new MCP version with new tools and when those new tools appear for use in the LLM apps.This lag may be as little as a few days or as much as a few months.
Note that this only affects which tools are available—the underlying data is equally fresh either way. Whichever connection you use, you’re querying the same live Conductor data.
Should I use Conductor's native connector or build a custom connector?
Whichever your platform supports. Both connect to the same Conductor MCP server, so the practical difference is setup effort versus how soon you get newly released tools.A native connector—Conductor’s listing in your AI platform’s directory or marketplace—is the faster setup. You find Conductor, click to connect, and authenticate. There’s no server URL or API token to paste. A custom connector takes a few more steps, but it always runs Conductor’s newest MCP version rather than waiting on the platform’s app-review cycle.Which paths are available depends on the platform:
I don't see all of Conductor's MCP tools in my AI platform's native app. How do I get them?
Every native app, plugin, and directory connector Conductor publishes goes through the AI platform’s own review process. When Conductor releases a new MCP tool, there can be a lag between our release and the platform approving the version that includes it.If a tool you expect is missing, start by making sure your connection is current—reinstall or reconnect it, and where the platform lists versions, choose the newest one. If it’s still missing and your platform also supports a custom connector, that path always runs Conductor’s newest MCP version.
Can I connect Conductor's MCP to Gemini?
Not yet. Gemini isn’t supported during Beta. We’re working with the Google team to understand their app-directory process, similar to how Conductor is listed with ChatGPT and Copilot.
My AI tool doesn't support OAuth. Are there other ways to connect?
In addition to authenticating connections through OAuth, you can authenticate custom connections with an API key. Review the Custom Connectors article to learn more.
Can I connect Conductor's MCP to an AI tool that isn't listed?
Generally speaking, yes! Conductor’s MCP server can connect to any AI tool or platform that supports MCP connectivity via OAuth or API bearer token. Setup for a specific tool may need some extra configuration details. Reach out to your Conductor team with the name of your tool, the authentication method it supports, and any setup documentation or screenshots, and we’ll help you work through the connection.
Every Conductor subscription includes allocated MCP tool calls, refreshed each contract year. If you’re an account admin, you can see the exact number included with your plan—and how much you’ve used—on the Subscription page in Conductor. If you’re not sure, your CSM or Account Manager can confirm your allocation.
Do my MCP tool calls reset, or is it a one-time allocation?
Your allocation refreshes automatically on an annual basis. You don’t need to purchase additional tool calls to keep the same allocation from year to year—your plan’s included calls renew for you.
What happens when I use up my tool-call allocation?
Once you’ve used the tool calls included with your plan for the period, new requests are declined until more calls are added. You’ll never be charged for overages—requests simply pause rather than billing you unexpectedly. If you need more, reach out to your CSM or Account Manager, who can help you add additional tool calls to your subscription.
What counts as an MCP tool call?
A tool call is counted only when the assistant successfully retrieves data from one of Conductor’s data tools. If a request fails or returns no data, it isn’t counted. A few things to know: a single question can trigger several tool calls (the assistant may look up your configuration, then pull the data, then drill in), and a skill can use several calls in one run. Only Conductor’s data tools draw down your allocation. Behind-the-scenes steps like the assistant loading the list of available tools, or a support skill reading Conductor’s help content, don’t count.
How can I tell how many tool calls a query or skill will use?
Different queries and skills use different numbers of tool calls depending on how much data they retrieve. If you’re planning heavier usage—like running several skills (your own or from the Template Gallery)—your CSM or Account Manager can help you estimate the tool calls involved so you can plan your allocation with confidence.
How much of my allocation should I add if I've run out?
The best estimate is based on your own usage. Your CSM or Account Manager can review your recent consumption, account for any one-off spikes, and help you project the tool calls you’re likely to need for the rest of your term—so you purchase the right amount rather than guessing.
Where can I see my MCP usage?
Account admins can view usage at the account level on the Subscription screen in Conductor. A breakdown of usage by individual user is planned for a future release—until then, your Conductor team can help if you need a more detailed view.
I used the MCP before and never hit limits—why am I hitting them now?
Conductor’s MCP is now available to all customers. To keep the service fast and reliable for everyone, we’ve introduced rate limits—30 requests per hour per user and 120 requests per minute across the system—so that no single user or agent can affect everyone else. Your plan also now includes a set allocation of MCP tool calls. Rest assured, you’ll never be charged for overages.
Why are my MCP tool calls now being metered?
Each plan comes with a pre-allocated number of tool calls. If you use up your allocation, you can choose to add more—but you’ll never be charged for overages. Your CSM or Account Manager can share details on adding tool calls if you need them.
The rate limits are too restrictive for what I need. Can they be raised?
We review rate-limit increases on a case-by-case basis. If the current limits are getting in the way of your workflow, contact your Conductor team with details on what you’re trying to do, and we’ll assess whether an adjustment is possible.
I connected the MCP but got a 403 or a response like “this feature isn't included in your plan”. What should I do?
This usually means one of a few things: MCP access isn’t yet enabled on your subscription, your plan term has ended, or you’ve used up your tool-call allocation for the period. Start by confirming your Conductor plan includes MCP access, then reach out to your CSM or Account Manager—they can verify your entitlement and help restore access.
One user on my account can't access the MCP, but others can. Why?
MCP access follows account membership in Conductor. If a specific user can’t connect while others can, the most common reason is that they haven’t been added to that Conductor account yet. Ask your admin to confirm the user is a member of the account they’re trying to reach.
I can only see data for a subset of my accounts. How do I see the rest?
The MCP returns data for the Conductor accounts you’re a member of. If you expected to see more accounts than are showing up, confirm with your admin that you’ve been added to all of those accounts—access to each account’s data depends on your membership.
I'm getting an “Internal Server Error” (500). What should I do?
A 500 error is most often a temporary service disruption. Wait a moment and try your request again. If it keeps happening, contact your Conductor team so we can look into it.
Does using Conductor’s connectors train public models?
No. The Conductor connector is not used to train their models. You can query your enterprise data with confidence, knowing it remains secure and private to your organization.
My security or IT team needs to review the MCP before we roll it out. What can you share?
We know security review is an important step. Our MCP Quick Start guide includes an example email you can copy and send to your security or admin team to kick off their review. If your team has deeper due-diligence questions, your Conductor team can coordinate the right details with our product and engineering teams.
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Responses are generated using AI and may contain mistakes.