How MCP servers and AI agents are impacting B2B GTM: On the evolution of data access
How B2B go-to-market (GTM) teams interact with and activate data has evolved over time. AI is a key part of that story. Accelerating innovation in martech and ad tech is driving greater access to higher-quality data and fewer roadblocks in the GTM workflow.
Since 2000, access to data has evolved from flat files to locally stored, batch-processed data, to instant, cloud-based access today.
Flat files → Big data → APIs → Data visualization tools → MCP servers → Agents
Evolution or revolution, we’re working in a time of great democratization of data access.
The way organizations access, leverage, and unlock value from data is transforming GTM activities for the better, as more people gain direct access to more data than ever before.
The 25-year arc of B2B GTM data access
The real transformation shaping B2B GTM outcomes today isn’t just that data is more granular; it’s that technical barriers to accessing it have systematically dissolved over the last quarter-century.
The evolutionary path of data access from 2000 to the present day highlights a steady shift from highly centralized, with few people being able to query and analyze directly, to democratized, natural-language interaction—and more access to more people in an organization:
Circa 2000
The era of flat files and silos
Data was localized, static, and stored in flat files. Access was entirely batch-processed. For a marketer to get a list or target segment, they had to issue requests to marketing ops, sales ops, or technical department, often resulting in days or weeks of latency.
Circa 2015
The rise of big data and data lakes
The industry experienced a massive wave toward centralizing data into “data lakes” (centralized storage repositories that hold large amounts of raw data in its native formats). While this solved the storage problem, it introduced a major engineering challenge: how to sift through immense structural noise, join disparate datasets, and deliver business intelligence back to GTM leadership.
Late 2010s
Ubiquitous APIs
Application programming interfaces (APIs) became the industry standard, allowing software systems to interact directly with data layers—and with other internal and external data sources. This era was highly deterministic: a human constructed a rigid, precise programmatic request (e.g., “Pull mobile device IDs matching X criteria”) and the API returned exactly that.
Present day
MCP servers and autonomous agents
The current paradigm lowers the technical barrier to querying complex data. Users can express what they need in natural language, while purpose-built agents apply the domain expertise needed to translate their intent into the right queries and actions. Through standardized frameworks like Model Context Protocols (MCPs) and agentic workflows, data is democratized and accessed through natural language interfaces. Querying data has become exponentially easier.
Direct wins for B2B GTM
Access to B2B data is no longer limited to a handful of analysts or a centralized business intelligence team—dashboards, APIs, and now AI agents put the same insights in front of anyone who needs them.
Sales and marketing teams with greater access to better data are seeing a number of key benefits:
Development: Computing power
Computing has become increasingly efficient, and data storage is more commonly in the cloud.
Custom reports, analysis, and insights can be ready in seconds, not hours. With greater computing power, data can often be refreshed in real time, rather than weekly, daily, or hourly.
And because storage has become relatively cheap, companies no longer need to aggressively delete or archive old data to save costs. This makes it economically feasible to retain years of historical data for trend analysis, cohort analysis, and longitudinal studies—something that would have been cost-prohibitive in the early 2000s when storage was expensive and compute-intensive processing was slow and costly.
Development: Visualization tools
The cost of standalone, purpose-built data visualization software has decreased greatly; many internal proprietary systems now include reporting features that deliver data in user-friendly formats. Common AI tools can put visualization in the hands of sales and marketing teams, further democratizing how we work with data.
As more companies adopt truly data-driven decision-making, more robust reporting is available through interactive dashboards and self-service analytics applications with no SQL or coding required. Outputs support every business need (summary-level for executives and managers, granular for those at the execution level) and visual and verbal learners (line graphs, bar charts, Venn diagrams, scatter plots, et al.).
Development: From deterministic queries to agentic activation
The leap from the API era to the era of autonomous agents completely rewrites the GTM playbook. APIs make sophisticated capabilities much more accessible and embeddable. For example, Bombora’s Digital Audience API allows audience planning, creation, estimation, and activation to be integrated into customer and partner workflows. But in a traditional API environment, users still need to define structured inputs and exact parameters. Agents lower that barrier further by translating natural-language goals into the appropriate queries and actions.
Today, the human states the business objective—and the AI agent manages the technical execution. This transition shifts the human’s role from constructing queries to validating strategy.
As Bombora CTO Ajit Thupil points out, “This dramatically opens the organizational aperture for who can interact with data. A growth marketer or a field sales leader no longer needs to write SQL or master complex data visualization tool syntax to derive deep account insights. They simply need to understand their strategic intent.”
Development: Broader data access
Standardized interfaces like Model Context Protocol (MCP) and modern data connectors have removed traditional technical bottlenecks, allowing Intent and B2B account data to flow freely across an entire martech stack. As a result, non-technical team members can instantly access and query centralized data repositories without relying on coding skills or dedicated operations or data engineering resources.
With data being accessible to more people within an organization, more people can use it in their day-to-day work. Marketing, sales, and revenue operations can act on insights directly instead of waiting for information from IT or a data analyst.
This shortens the distance between a question and a decision—campaigns launch faster, and account strategies adjust in real time, without a technical intermediary translating business needs into a query. The result is a flatter, faster organization where data literacy, not data access, becomes the real differentiator between teams that move quickly and teams that don’t.
Development: Quality and coverage
Advances in identity resolution and broadening B2B data ecosystems have improved both the depth and accuracy of B2B data. At the same time, expanding digital footprints allow providers to capture intent signals across broader domain networks and niche B2B buyer journeys.
It’s easier than ever to find, purchase, and leverage high-quality signals. With more accurate and robust data available, companies can build fuller, more reliable pictures of their accounts and prospects instead of relying on incomplete or stale information. This reduces the guesswork in GTM strategy—teams can validate assumptions with real signals rather than relying on intuition or small sample sizes. And because accuracy has improved alongside volume, organizations spend less time reconciling conflicting data sources and more time acting on insights they can trust.
How Bombora has accelerated the evolution of access to GTM data
Bombora has delivered B2B Intent data since its founding in 2014 and has evolved its access methods alongside its GTM solutions. For a unique perspective, we spoke to Raul Billini, Senior Director, Solutions Engineering at Bombora.
He said, “From my experience as a customer and now a member of the solutions engineering team, I can say that the evolution of data access has been significant. Intent data delivery has matured from manual secure file transfer protocol (SFTP) and S3 file exports to flexible API-based integrations that connect directly into client CRMs, marketing automation platforms, and custom workflows.”
How Bombora is building toward agentic data access
As the pioneer of B2B Intent data since 2014, Bombora has been innovating with data access all along, providing customers with the actionable data they need—in the ways that best suit their workflows.
From secure file transfers and APIs to integrations across customer and partner ecosystems, Bombora has continually evolved how customers access and activate our data.
Today, that includes making Bombora data available through platforms like Adobe CDP and Explorium, while building toward MCP-enabled access and specialized agents. The goal remains the same: make trusted B2B data available to the right people and systems, wherever work happens.
