MCP server for Featureflip — manage feature flags from AI agents and editors (read-only mirror)
@featureflip/mcp
以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →
MCP (Model Context Protocol) server for Featureflip — manage feature flags
from AI coding assistants (Claude Code, Cursor, Copilot, Cline) and autonomous agents.
Setup
1. Create an API token in the Featureflip dashboard:
- **Personal token** (ffp_...): Settings → API Tokens — acts as you, for interactive editor use.
- **Service token** (ffs_...): Organization Settings → Service Tokens — scoped machine identity for CI/agents.
2. Add the server to your MCP client:
Claude Code
Cursor / Cline / generic JSON config
Configuration
| Env var | Required | Default | Purpose |
|---|---|---|---|
| FEATUREFLIP_TOKEN | yes | — | ffp_/ffs_ API token |
| FEATUREFLIP_API_URL | no | https://api.featureflip.io | API base URL |
| FEATUREFLIP_ORG | no | auto | Org slug (needed only for multi-org personal tokens) |
Tools
CRUD: list_projects, list_environments, list_flags, get_flag, create_flag, update_flag,
delete_flag, archive_flag, restore_flag, set_flag_expiry, set_flag_owner, set_flag_permanent,
toggle_flag, update_flag_environment_config, get_targeting, update_targeting,
manage_targeting_rule, manage_variation, list_segments, get_segment, manage_segment,
manage_project, set_default_flag_lifetime, manage_environment, list_sdk_keys, manage_sdk_key
Webhooks (Admin token required): list_webhooks, list_webhook_deliveries, manage_webhook, deliver_webhook
Workflows: flag_status (cross-environment view), find_stale_flags (cleanup candidates),
list_removal_candidates (flags safe to remove, with the prerequisite dependents to remove first),
wrap_feature (create flag + get the SDK snippet for your language)
Full reference: https://featureflip.io/docs/integrations/mcp/
Notes
- Flag **evaluation** is not exposed over MCP — use the language SDKs in application code.
- Every mutation is audit-logged and attributed to the token.