MCP server for Featureflip — manage feature flags from AI agents and editors (read-only mirror)
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add featureflip-mcp -- npx -y @featureflip/mcp{
"mcpServers": {
"featureflip-mcp": {
"command": "npx",
"args": ["-y", "@featureflip/mcp"],
"env": {
"FEATUREFLIP_TOKEN": "<featureflip_token>"
}
}
}
}FEATUREFLIP_TOKENMCP Servers overview
# @featureflip/mcp
MCP (Model Context Protocol) server for [Featureflip](https://featureflip.io) — 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
```bash
claude mcp add featureflip -e FEATUREFLIP_TOKEN=ffp_your_token -- npx -y @featureflip/mcp
```
### Cursor / Cline / generic JSON config
```json
{
"mcpServers": {
"featureflip": {
"command": "npx",
"args": ["-y", "@featureflip/mcp"],
"env": { "FEATUREFLIP_TOKEN": "ffp_your_token" }
}
}
}
```
## 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`, `toggle_flag`, `update_flag_environment_config`,
`get_targeting`, `update_targeting`, `manage_variation`, `list_segments`, `get_segment`
Webhooks (Admin token required): `list_webhooks`, `list_webhook_deliveries`, `manage_webhook`, `deliver_webhook`
Workflows: `flag_status` (cross-environment view), `find_stale_flags` (cleanup candidates),
`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](https://featureflip.io/docs) in application code.
- Every mutation is audit-logged and attributed to the token.
## License
Apache-2.0
What people ask about featureflip-mcp
What is canopy-labs/featureflip-mcp?
+
canopy-labs/featureflip-mcp is mcp servers for the Claude AI ecosystem. MCP server for Featureflip — manage feature flags from AI agents and editors (read-only mirror) It has 0 GitHub stars and its last recorded update is dated 2026-09-25.
How do I install featureflip-mcp?
+
You can install featureflip-mcp by cloning the repository (https://github.com/canopy-labs/featureflip-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is canopy-labs/featureflip-mcp safe to use?
+
Our security agent has analyzed canopy-labs/featureflip-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains canopy-labs/featureflip-mcp?
+
canopy-labs/featureflip-mcp is maintained by canopy-labs. The last recorded GitHub activity is dated 2026-09-25, with 0 open issues.
Are there alternatives to featureflip-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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