Two context layers, pointed in opposite directions
Most teams have neither in a form an AI can use. Now you can have both.
Evermuse — the context layer for your customer
Interviews, sales calls, support tickets, and feedback turned into searchable evidence: verbatim quotes, competitor intel, and a live, prioritized roadmap your AI can reason over.
CoreStory — the context layer for your system
A persistent, living understanding of how your codebase actually behaves — architecture, edge cases, and the decisions nobody wrote down — served to humans and AI agents wherever product and engineering work happens.
What the partnership unlocks
Picture planning a feature where your agent pulls the loudest customer pain points from Evermuse, then asks CoreStory what a fix would touch.
Connect both context layers
Evermuse and CoreStory both speak MCP. One connection on each side, and any agent — Claude Code, Cursor, Codex — can query both at once.
Your agent pulls customer evidence
Ask Evermuse what customers are actually saying — the loudest pain points, verbatim quotes, and the roadmap items they map to.
CoreStory grounds it in the codebase
The same agent asks CoreStory which parts of the system a fix would touch and what might break, before writing a single line.
Ship the right thing, built right
Intent and implementation resolve in a single pass — fewer round-trips, fewer regressions, and a lot less guessing from your team and your AI.
"Great software starts with understanding, of the code and of the customer. Pairing CoreStory's code intelligence with Evermuse's customer evidence gives teams and their agents a complete picture for the first time. We're excited to put it in front of our customers."
Built for teams who ship with AI agents
Whether you own the roadmap, lead engineering, or run the company — both context layers make your agents sharper.
Ground every spec in both halves of the truth
- Cite the exact customer quotes behind a requirement
- Check what a fix would touch before it's scoped
- Fewer surprise regressions discovered in review
- Specs your engineers — and their agents — actually trust
Stop agents from guessing at intent or architecture
- Agents query CoreStory for grounded system behavior
- Agents query Evermuse for the customer "why" behind a task
- Same MCP connection your team already uses
- Less rework from agents building the wrong thing well
One connection, two layers of context
- No new tool to roll out — it rides on your existing MCP setup
- Evermuse MCP available in CoreStory's partner directory
- CoreStory available to Evermuse customers through ours
- Works with whatever agent your team already runs
CoreStory is one of dozens of integrations. Evermuse connects the tools your whole team already uses.
Common questions
About the Evermuse + CoreStory partnership specifically.
Give your agents both halves of the truth
Connect the Evermuse MCP for customer context, then pair it with CoreStory for codebase context. Same agent, one pass, no more guessing.
CoreStory is an independent product. Learn more at corestory.ai.