Bring knowledge in.
Connectors pull documents, conversations, memory, and working context from your company systems into Listening Post.
Connect your existing systems to a shared context engine.
Bring your company’s knowledge together. Make it useful across the AI tools you choose.
Explore the layersConnect once.
Keep moving forward.
Keep it with your company.
Your company controls the context store. The knowledge you build carries across sessions, agents, and model changes.
Give your tools a way in.
MCP gives compatible tools an open interface to that context. A new tool can use what your company already knows.
Change the tools.
Keep your context.
Compatible models and agents access your company’s context through MCP.
Using that context does not require handing over write access to production. Any other actions you enable remain your company’s decision.
Explore security & ownership- Claude
- ChatGPT
- Grokbot
- Hermes
- What’s next
A little more context.
What does MCP make possible?
Model Context Protocol gives compatible models, agents, and tools a common way to access external context. Listening Post uses that interface to make company context available across tools.
What happens when we change models?
The context held in Listening Post stays in your company-controlled store. Connect the new compatible tool through MCP and give it the access your company chooses.
Does an air-gapped deployment work the same way?
The same Listening Post product can run on premises. In an air-gapped setup, the models, agents, and other systems it uses must operate within your permitted network.
Make room for what comes next.
See what an independent context layer can do for your company.