Connect Onfire to Claude to Unlock Next-level AI Prospecting for Technical Buyers

It’s June 2026, so there’s a 99% chance you’re already using Claude (or another agentic AI tool) for prospecting. Now there’s a way to massively improve the accuracy and sophistication of your AI-enabled work by connecting your agents to Onfire. 

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With the new Onfire connector for Claude and the Onfire MCP server, you can give your agents access to the industry’s best data on technical buyers, tailored to your unique audience and go-to–market motion. Use it in the Claude web interface, Claude Code, Claude Cowork, ChatGPT, Gemini, or with any agent that supports the MCP protocol - which is basically all of them. 

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Along with the MCP-based connector, we’re releasing pre-built agent skills that will help you hit the ground running - covering popular use cases including account research, prospecting workflows, and more.

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Read on for the details, or scroll to the end of the article for prompt examples and how to get started!

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Claude + Onfire data = the world’s most powerful AI prospecting 

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Tools like Claude Cowork are quickly becoming the hub of all GTM activity. BDRs use them to research accounts and draft emails; leaders chat strategy with their AI assistants; and RevOps builds complex automations that would be unimaginable a few years ago. Today’s AI agents are incredibly powerful, and can compress hours of manual work into the time it takes to brew a cup of coffee. 

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However, what these agents lack out of the box is context about your business, market, and target audience. Ask Claude to research the engineering team at a target account, and it will do an amazing job of running dozens of Google searches and collating the results. But real prospecting doesn’t stop at Google!

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With the Onfire connector, Claude acts like an expert BDR tasked with selling a software infrastructure or cybersecurity product. This means it now looks at information such as:

• Account technographics, firmographics, and hiring trends.
• Previous conversations with prospects in the account.
• The list of potential champions including their LinkedIn accounts, professional history, inferred interests and challenges.
• Potential warm intros through shared contacts.
• Community discussions on closed Slack groups.
• Open source activity that can be traced back to the target account.
• Up-to-date contact data, pulled from multiple sources.

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Onfire makes all of this data available to Claude or other agents, instantly. You can combine the capabilities of state of the art models such as Opus 4.8 with data that only Onfire has, built on years of analyzing the public footprint of 50 million engineers - historical job movement, community and event signals, intent evidence, SEC filings, and more; as well as insights from your own CRM (if you choose to connect it).

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And in line with Onfire’s broader approach to go-to-market, everything is tailored to your specific GTM needs. The more you work with the Onfire connector in Claude, the smarter your agents will get - owing both by Onfire’s continuous refinement of the data and tailoring to your ICP, as well as the agent becoming more familiar with your business, target audience, and go-to-market strategy.

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Accelerate your AI transformation and drive impact

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By calling on Onfire’s technical-buyer-focused data, you unlock exciting new ways to upskill your team, and accelerate your journey to become an AI-native sales organization. Early adopters are using Onfire in Claude and ChatGPT in order to:

• Get technical buyer data through natural language: no need to mess around with filters and boolean logic - describe what you need in a few words, and Onfire will pull all the relevant context.
• Run end-to-end AI workflows from a single place: benefit from the extensive connector ecosystem built into tools like Claude Cowork to cut down on context switching. Pull data from your CRM, draft outreach sequences, or summarize email interactions without opening your web browser.
• Build internal tools and data-driven automations. You’re no longer limited to predefined use cases. Embrace vibe-GTM and build anything you can think of - such as lead enrichment, customer portals, or internal dashboards - all powered by up-to-date and accurate buyer data. 

Prompt examples to get the hang of it

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Technographics-based account research:

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Find companies with over 500 employees who are currently using Datadog and Microsoft Azure at significant scale. For each account, create a list of potential champions who are responsible for observability. Start with the accounts that are actively looking at new tools or likely to be struggling with high costs.

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Closed-lost revival:

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Review all my closed-lost deals from the last year. Identify which alternative they chose based on the data in our CRM and Onfire’s technographics, and suggest ways to approach the prospect that highlight our value against this competitor.

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Prioritization:

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Take all my current accounts, prioritize them according to signals and ICP fit from Onfire, provide the top 10 prospects from each one, add them to an outreach sequence, and generate the first personalized message for each.

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Warm intros:

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Suggest warm intro paths into the DevOps team at [target account]. Help me draft the intro message.

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Get started with the Onfire MCP connector and Agent Skills

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In addition to the Onfire connector for Claude and MCP server, we are releasing several new Onfire Agent Skills. Install them to equip your agent with readymade instructions on how to approach common use cases. These skills will help you make the most out of Onfire’s data, and reflect battle-tested best practices we’ve learned from working with top BDR, sales, and RevOps organizations who are successfully selling to technical buyers.

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The new agentic integrations and agent skills are available with every Onfire subscription. If you’re already using Onfire, get in touch for a quick start session. Not using Onfire yet? Start here.

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