Context gets copied by hand
Developers paste stories and acceptance criteria into every new AI session.
✦Project context for every AI coding tool
Your AI coding assistant finally
understands your sprint.
Bring stories, acceptance criteria, defects, and sprint context directly into Claude Code, Codex, and GitHub Copilot through one MCP server.
For engineering teams building with AI
Silverile MCP connected
Codex · Claude · Antigravity
You
Assistant
I’ll define the audience, offer, landing-page flow, channels, conversion path, and measurement plan.
Audience Engineering teams
Channels LinkedIn + Google Ads
Conversion Request a tailored demo
You
Assistant
I found project 1360. I’ll preview the stories before creating anything.
Silverile / bulk_create_storiespreview ready#2207Build the CodeContext campaign microsite5 pts#2208Build the StoryCraft AI campaign microsite5 pts#2209Build the SprintIQ campaign microsite5 pts#2210Build the Monty PM campaign microsite5 pts
+8 more stories from the campaign plan
You
Assistant
Done. The approved stories are now available in Silverile Campaign.
Silverile / bulk_create_storiescompletedYou
Assistant
I loaded the story, its acceptance criteria, and five test cases. I’ll keep the implementation aligned.
Silverile / get_story 2218completed+ persistRequest(payload, transaction)
+ recordNotificationEvent(status)
You
Assistant
Yes. Use a dedicated silver_campaigns database on the existing PostgreSQL instance, with the campaign service owning database access. I recommend updating story 2218 so this decision is captured.
You
Assistant
The preview changes only the description and acceptance criteria. Shall I apply these changes?
You
Silverile / update_story 2218completed✓ Story 2218 updated and verified in Silverile.
Works across your delivery flowClaude CodeOpenAI CodexGitHub CopilotVS CodeJetBrainsAntigravity
01 · THE PROBLEM
AI can write code. It still doesn’t know what your team agreed to build.
Coding agents stop at the repository boundary. The intent, constraints, defects, and delivery context live somewhere else.
Implementation drifts
Generated code looks plausible but quietly misses requirements and edge cases.
Boards fall behind
Work happens in the IDE while status updates wait for someone to remember.
02 · HOW IT WORKS
One connected flow from signal to action.
Start with the work your team already has. Add intelligence without adding another disconnected process.
01
Connect once
Add the Silverile MCP server to any MCP-compatible coding environment.
02
Ask naturally
Reference a story, defect, or sprint and receive the complete delivery context.
03
Close the loop
Implement, validate, generate tests, and keep the project board synchronized.
03 · PRODUCT PROOF
From backlog to build—without losing intent.
Ask for assigned work, load the full story, implement against acceptance criteria, validate the result, and send status back to the board.
LIVE PRODUCTPowered by Silverile
04 · OPERATIONAL OUTCOMES
Make the work clearer. Make the next action obvious.
context source
Stories, criteria, defects, and sprint signals stay connected.
MCP tool
Claude Code, Codex, Copilot, and the tools that come next.
copy-paste loops
Bring agreed context to the code instead of moving it by hand.
DESIGN-PARTNER DEMOBring one real workflow.
Bring one real workflow.
Leave with a clearer path.
Share one real workflow. We’ll review your context first, then arrange the most useful working session for your team.
No generic sales deck. No calendar commitment until we review your request.05 · FAQ
Questions engineering teams ask first.
Need something more specific? Request a working session and tell us about your current toolchain.
Do developers need to leave their IDE?+
No. Project context is available through MCP inside the AI coding environment they already use.
Which tools are supported?+
Any MCP-compatible client, including Claude Code, OpenAI Codex, GitHub Copilot, and supported JetBrains workflows.
Does CodeContext modify code automatically?+
No. AI assists while developers remain in control. Generated work and project updates follow explicit user actions.
Do we have to replace our workflow?+
No. CodeContext adds a connected context layer between project planning and AI-assisted development.