The Channel99 Connector for LLMs

The Channel99 Connector for LLMs uses an MCP server (Model Context Protocol) to turn high-quality marketing and account signals into unified, model-ready context. Plug in your own trained model or a third-party LLM, and it immediately has access to marketing performance, audience profiles, and account identity, no custom integration work required. That lets your model surface reliable insights, recommend next-best actions, and execute workflows with no learning curve, driving faster decisions and clearer measurement.

Key Benefits

Unified, model-ready customer context Channel99 MCP pulls site activity, pixel data, vendor scores, benchmarks, and identity data into one AI-ready context. Your models and reports get richer signal immediately, so marketing teams see performance and intent without extra setup.

BYOAI, with governance Keep your trained model and your own policies. Plug in your preferred LLM and get trusted answers in your company's language. Because the connector follows MCP standards, swapping LLMs later is straightforward. 

Superior account resolution and audience activation Turn anonymous clicks and impressions into account-level signals you can act on. Channel99's multi-source approach raises match rates and surfaces pipeline signal, so teams can build, score, and activate audiences in minutes.

Actionable insights and execution at scale Get automated AI digests, in-workflow assistants, and execution pathways that recommend next-best actions. The result: faster decisions, clearer measurement, and direct impact on pipeline.

Where the Data Comes From

Data sources include the Channel99 JS tag and impression pixel, CRM pulls (Salesforce/HubSpot), ad vendor integrations (Google, Microsoft, LinkedIn, Facebook), and IP/firmographic partners. These sources feed a low-latency data layer and curated views used by MCP services. The data available to the MCP server follows the same schema documented in our Snowflake share documentation.

Getting Started

To connect an LLM to the Channel99 MCP server, you'll need an active Channel99 account. Access is authenticated via OAuth, which is the standard credentialing method most MCP integrations expect — so once you're connected, adding or swapping LLMs on your end requires no additional setup on ours.

To connect:

• Sign up for a Channel99 account (or use your existing login).
• Point your MCP-compatible LLM or client to the server URL: https://mcp.channel99.com/mcp
• Authenticate via OAuth using your Channel99 credentials.

Once authenticated, your model has immediate access to the unified context described above, no separate API key management or manual data pipeline required.