DevCycle
About
Turn your favourite AI tool into a feature management assistant. DevCycle's MCP works with your favourite coding assistant so you can create and monitor feature flags using natural language right in your workflow.
Details
- Author
- Unknown
- Categories
- Developer Tools, Infrastructure
Jump to
- Manage feature flags— Ask your assistant to create, update, or delete feature flags using tools likecreate_featureandupdate_feature_status.
- Handle feature variables— Request creation or modification of variables tied to features viacreate_variableandupdate_variable.
- Switch projects— Instruct the assistant to list projects or select one for context usinglist_projectsandselect_project.
- Set self-targeting overrides— Have the assistant configure personal testing overrides withset_self_targeting_overrideor clear them viaclear_feature_self_targeting_overrides.
- Pull evaluation analytics— Ask for usage metrics on features or projects usingget_feature_total_evaluationsandget_project_total_evaluations.
- Get SDK installation guidance— Request step-by-step SDK setup instructions through theinstall_devcycle_sdktool.
The DevCycle Model Context Protocol (MCP) Server is based on the DevCycle CLI, it enables AI-powered code editors like Cursor and Windsurf, or general-purpose tools like Claude Desktop, to interact directly with your DevCycle projects and make changes on your behalf.
The DevCycle MCP is hosted so there is no need to set up a local server. We'll walk you through installation and authentication with your preferred AI tools.
Direct Connection:For clients that natively support the MCP specification with OAuth authentication, you can connect directly to our hosted server:
Protocol Support: Our MCP server supports both SSE and HTTP Streaming protocols, automatically negotiating the best option based on your client's capabilities.
Alternative Endpoint: If your client has issues with protocol negotiation, use the SSE-only endpoint:
MCP Registry: If you're usingregistry.modelcontextprotocol.io, the DevCycle MCP is listed as:com.devcycle/mcp
These instructions use the remote DevCycle MCP server. For installation of the local MCP server, see thereference docs.
- Cursor
- VS Code
- Claude Code
- OpenCode
- Claude Desktop
- Windsurf
- Codex CLI
- Gemini CLI
To open Cursor and automatically add the DevCycle MCP, click the install button above. Alternatively, add the following to your~/.cursor/mcp_settings.jsonfile. To learn more, see theCursor documentation.
{ "mcpServers": { "DevCycle": { "url": "https://mcp.devcycle.com/mcp" } } }
- After configuration, you'll see DevCycle MCP listed as"Needs login"with a yellow indicator
- Click on the DevCycle MCP server to initiate the authorization process
- This opens a browser authorization page atmcp.devcycle.com
- Review and click"Allow Access"to grant permissions
- If you have multiple organizations, select your desired organization atauth.devcycle.com
- You'll be redirected back to Cursor with the server now active
The DevCycle MCP Server provides comprehensive feature flag management tools organized into6 categories:
Once configured, try asking your AI assistant:
- "Create a new feature flag called 'new-checkout-flow'"
- "List all features in my project"
- "Enable targeting for the header-redesign feature in production"
- "Show me evaluation analytics for the last 7 days"
- MCP Reference- Complete tool documentation with all parameters
- - Learn about the underlying CLI commands
- GitHub Issues:GitHub Issues
- General Documentation:DevCycle Docs
- Support:Contact Support
This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.
All Azure MCP tools in a single server. The Azure MCP Server implements the MCP specification to create a seamless connection between AI agents and Azure services. Azure MCP Server can be used alone or with the GitHub Copilot for Azure extension in VS Code.
Flag features, manage company data, and control feature access using Bucket.
Enable AI Agents to fix build failures from CircleCI.
interacts with ConfigCat feature flag platform. Supports managing feature flags, configs, environments, products and organizations. Helps to integrate ConfigCat SDK, implement feature flags or remove zombie (stale) flags.
Boost security in your dev lifecycle via SAST, SCA, Secrets & IaC scanning with Cycode.
Official Docker MCP Toolkit for discovering, configuring, and running containerized MCP servers through Docker Desktop and the Docker MCP gateway.
The Octopus MCP Server provides your AI assistant with powerful tools that allow it to inspect, query, and diagnose problems within your Octopus instance, transforming it into your ultimate DevOps wingmate.
The Railway MCP Server enables natural language interaction with your Railway projects and infrastructure. Ask your IDE or AI assistant to create projects, deploy templates, manage environments, pull variables, redeploy services, and more.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
