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Split_io provides a feature flagging and experimentation platform, enabling developers to implement and manage feature toggles and conduct A/B testing. Use it for controlled feature rollouts and to gain insights through experiments to enhance application performance and user experience.
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Domain knowledge for Split.io — workflow patterns, data models, and gotchas for your AI agent.
Split.io organizes feature flags under Workspaces. Workspaces have Environments; Feature Flags and Segments are workspace-scoped. Traffic Types define targeting.
Fetch Environments
Fetch all environments within a specific workspace by using the workspace ID. Ideal for understanding the setup of feature deployments across different environments. Returns environment details such as names and IDs, with 'offset', 'limit', and 'wsId' as key parameters to refine your query.
Fetch Feature Flags
Get a full list of feature flags available in a particular workspace. Useful for managing and organizing feature toggles. Returns a list with detailed information on each flag, accessible using 'offset', 'limit', and 'wsId' parameters to control the data scope.
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Browse all toolsFetch Segments
Fetch all segments within a specified workspace using the workspace ID. Essential for targeting specific user segments when rolling out features. Returns segment details including names and criteria, with 'offset', 'limit', and 'workspaceId' as parameters for customized data retrieval.
Fetch Segments Keys
Retrieve keys associated with a specific segment name and environment. Useful for detailed analysis of segment membership and access. Provides a list of segment keys, using 'offset', 'limit', 'environment_id', and 'segment_name' to refine the query.
Fetch Traffic Types
Get a list of all traffic types available in a specified workspace. This helps in categorizing different streams of traffic uniformly. Returns detailed traffic type information, controlled by 'offset', 'limit', and 'wsId' parameters to manage the output.
List Change Requests
Retrieve a list of feature flag change requests made within your organization. Use this to monitor and review changes for governance and compliance purposes. Returns details for each change request, including status and creator, with optional 'offset' and 'limit' parameters to manage pagination.
List Flag Sets
List all flagsets for your account to better organize feature flags into collections. Use this tool to optimize your feature management strategy. Returns metadata for each flagset, using 'offset' and 'limit' to paginate results.
List Groups
Obtain a list of all user groups in your organization. This is essential for managing permissions and roles related to feature flags. Returns information on each group, including member details, utilizing 'offset' and 'limit' for pagination.
List Rollout Statuses
Retrieve the rollout statuses for various feature flags to track their deployment progress. Use this when you need to know the current state of features in production. Returns status details for each rollout, with 'offset' and 'limit' to filter the results.
List Users
List all users in your Split.io account to facilitate user management and collaboration. Ideal for auditing active user accounts and roles. Provides full user information, paginated through 'offset' and 'limit' parameters.
List Workspaces
Retrieve a list of all workspaces available in your Split_io account. Ideal for when you need to manage or integrate multiple project environments or teams within Split, this tool provides detailed workspace information. Returns a paginated list of workspaces, where you can use 'offset' and 'limit' parameters to navigate through the results efficiently.
Split_io provides a feature flagging and experimentation platform, enabling developers to implement and manage feature toggles and conduct A/B testing. Use it for controlled feature rollouts and to gain insights through experiments to enhance application performance and user experience. It provides 11 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/split-io. Authentication is handled automatically.
Split.io provides 11 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
Split.io uses API Key. Split.io requires credentials. Connect via MCPBundles and authentication is handled automatically.
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