Where skills become processes
A platform that bridges the gap between human documentation and AI context. Create, version, and deliver operational processes to AI agents and people from a single source of truth.
MCP server running in 30 minutes · No credit card required
The problem
Your AI agents are only as good as the context they receive
Most organizations building with AI face the same silent failure: context is missing, stale, or scattered, and nobody is accountable.
Skills are siloed
Individual teams build AI context in isolation, never shared across the org. Every team reinvents the wheel.
No version control
Processes evolve but AI context doesn't follow. Agents quietly give outdated guidance with zero awareness.
No observability
Nobody knows which AI client is consuming which skill, how often, or whether the skill is still accurate.
No ownership
When nobody is explicitly responsible for a process, nobody updates it. Accountability disappears.
Dual audience gap
Documentation written for humans is too verbose for AI. Context written for AI is unreadable for humans.
Scattered context
AI agents are only as good as the context they receive, and too often that context is missing, stale, or scattered.
The solution
Every process. One source of truth.
A platform where every operational process has a human-readable form, a named owner, full version history, and an MCP interface, all served simultaneously to people and AI agents.
Human-readable, editable
Every process is a Markdown document with YAML frontmatter. Readable by people, structured for AI.
Full version history
Every change is tracked, diffable, and rollbackable. Agents always know which version they consumed.
MCP delivery
Any AI client (Claude, Cursor, GPT) can consume processes via just three MCP tools. Minimal footprint, zero integration work.
Named ownership
Every process has a real person accountable for keeping it accurate. Staleness alerts fire when reviews are overdue.
Usage analytics
See exactly who called what, when, and which version. Adoption rates, health scores, per-client breakdowns.
Capture: process discovery
Connect to Confluence, Notion, and Google Drive. AI surfaces existing process candidates so you don't start from scratch.
Where skills become processes, and processes are discovered instead of rewritten.
AI delivery layer
MCP server included. Zero integration work.
Any MCP-compatible AI client (Claude, Cursor, GPT, or your own agent) can read, list, and update your processes with just three tools. No tool bloat, no ballooning context windows, just what the agent actually needs. Every call is logged as a usage event so you have full observability.
- read_process: fetch a specific process by ID or slug
- list_processes: list all processes, filterable by dept or team
- update_process: create or update a process via AI-assisted authoring
RAG-powered skill matching: When an agent calls list_processes, Koinoflow uses retrieval-augmented generation to surface only the most relevant processes for the task at hand. Your agent's context stays clean, with no irrelevant skills and no wasted tokens.
// Fetch the deploy process
const result = await mcp.call("read_process", {
slug: "engineering/deploy-to-production",
})
// result.content = latest published version
// result.version = "2.4.1"
// result.owner = "[email protected]"
// result.called_at = 2026-04-11T09:12:00Z
// List all processes for a team
const processes = await mcp.call("list_processes", {
team: "engineering",
status: "published",
})Observability
The moat is the analytics dashboard
Once you can show a CTO these numbers, Koinoflow becomes infrastructure. It goes on the quarterly review slide and becomes irreplaceable.
847×
Your onboarding process was called last month
90 days
Since the deploy process was last updated, staleness alert fired
34
Health score for your undocumented process, action required
Ready to give your AI agents a single source of truth?
Start with a free workspace. No credit card required.