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rsdouglas/janee

v0.5.0 Feature

This release adds 4 notable features for engineering teams evaluating rollout.

Published 3mo Secrets & Credentials
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents api-keys claude cursor llm mcp
+4 more
mcp-server model-context-protocol secrets-management security

Affected surfaces

auth rbac

Summary

AI summary

New janee cap subcommand group adds independent capability management commands.

Full changelog

Added

  • Capability Management Commands — New janee cap subcommand group for managing capabilities independently (#39)

    • janee cap list — List all capabilities (supports --json)
    • janee cap add <name> --service <service> — Add capability with TTL, auto-approve, rules
    • janee cap edit <name> — Edit existing capability (TTL, auto-approve, rules)
    • janee cap remove <name> — Remove capability without removing parent service (supports --yes)

    Use cases:

    • Create multiple capabilities per service (e.g., read-only, admin)
    • Fine-grained control of TTL and allow/deny rules per capability
    • Programmatic management via JSON output
    • UI integration (The Office plugin)

Examples:

# List capabilities
janee cap list
janee cap list --json

# Add read-only capability
janee cap add readonly --service stripe --ttl 24h \
  --allow "GET /v1/*" --allow "GET /v2/*" \
  --deny "DELETE *"

# Add admin capability for same service
janee cap add admin --service stripe --ttl 15m --requires-reason

# Edit capability
janee cap edit readonly --ttl 2h
janee cap edit admin --no-auto-approve

# Remove capability (service stays)
janee cap remove readonly --yes

Install: npm install -g @true-and-useful/janee@latest

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About rsdouglas/janee

Self-evolving MCP server that generates and improves its own tools at runtime. Built on FastMCP, Janee uses LLM-driven tool generation to dynamically create, test, and refine MCP tools from natural language descriptions — enabling AI agents to extend their own capabilities on the fly.

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Beta — feedback welcome: [email protected]