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Fenix MCP is a server that connects any AI agent to real project data — work items, memories, rules, docs, sprints, TODOs, API catalog. Ask once, read forever.

56+
mcp actions
8
supported clis
CLAUDE CODE · your editor
> user
implement the cli autocomplete from sprint 14. follow team patterns.
> claude
→ fenix.work.get("PROJ-251")
→ fenix.rules.list(category="cli")
→ fenix.memory.search("autocomplete design")
→ fenix.docs.read("cli/commands.md")
writing src/cli/autocomplete.ts
MCP BRIDGE
:8421
FENIX · your project
< work:PROJ-251
"Add CLI autocomplete for projects"
priority: med · points: 3
< rules:cli (3 match)
cli-001 · commander.js only
cli-002 · zsh + bash + fish parity
cli-014 · never block on network
< memory:a7f2 (0.94)
"autocomplete: cache refreshes every 5min in ~/.fenix/completions.json"
✓ context delivered · 4 artifacts
// actions available to any agent
work.*
├─ list
├─ create
├─ update
├─ move_status
├─ assign
├─ link
memory.*
├─ save
├─ search
├─ dedupe
├─ link
├─ favorite
docs.*
├─ read
├─ write
├─ version
├─ publish
├─ list
rules.*
├─ list
├─ export
├─ apply
├─ fork
+ sprints, boards, todos, api_catalog · 56+ total
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