GrowthBook
MCP ServerFree** — Create and read feature flags, review experiments, generate flag types, search docs, and interact with GrowthBook's feature flagging and experimentation platform.
Capabilities8 decomposed
feature-flag-creation-and-management
Medium confidenceCreates and manages feature flags through GrowthBook's API via MCP protocol, enabling developers to define flag rules, targeting conditions, and rollout percentages programmatically. The capability integrates with GrowthBook's backend flag storage system, supporting JSON-based flag definitions with conditional logic for user segmentation and gradual rollouts.
Exposes GrowthBook's flag management API through MCP's standardized tool-calling interface, allowing LLM-based agents to create and modify flags using natural language intent that gets translated to structured API calls, rather than requiring manual API documentation consultation
Enables flag management from within Claude or other MCP-compatible environments without context-switching to GrowthBook's UI, and supports programmatic flag creation at scale through LLM-driven automation
feature-flag-retrieval-and-inspection
Medium confidenceReads and retrieves feature flags from GrowthBook's API, returning flag definitions, current rollout status, targeting rules, and metadata. The capability queries GrowthBook's flag registry and returns structured JSON representations of flags, enabling inspection of flag state, rules, and associated experiments without UI navigation.
Provides structured, programmatic access to GrowthBook's flag registry through MCP, allowing LLM agents to query and reason about flag state in natural language rather than requiring developers to manually navigate the UI or write custom API clients
Faster than UI-based flag inspection for bulk queries and integrates flag state directly into LLM reasoning chains, enabling agents to make decisions based on current flag configuration
experiment-review-and-analysis
Medium confidenceRetrieves and analyzes experiment data from GrowthBook, including experiment status, results, statistical significance, and variant performance metrics. The capability queries GrowthBook's experiment API and returns structured analysis data, enabling developers to review experiment outcomes and make decisions about flag rollouts based on experimental evidence.
Integrates GrowthBook's experiment analysis engine with MCP, allowing LLM agents to evaluate experiment results and reason about rollout decisions using natural language, rather than requiring manual interpretation of statistical dashboards
Enables automated experiment-driven rollout decisions by embedding experiment analysis directly in LLM reasoning chains, versus manual dashboard review or custom data pipeline integration
typescript-flag-type-generation
Medium confidenceGenerates TypeScript type definitions from GrowthBook flag schemas, creating strongly-typed interfaces that match the flag definitions stored in GrowthBook. The capability introspects flag configurations and produces TypeScript code with proper typing for flag values, targeting rules, and metadata, enabling type-safe flag usage in TypeScript applications.
Automatically generates TypeScript types from live GrowthBook flag definitions via MCP, ensuring type definitions stay synchronized with actual flag schema without manual maintenance, and enabling LLM agents to generate type-safe flag code
Eliminates manual type definition maintenance by generating types directly from GrowthBook's source of truth, versus hand-written types that can drift from actual flag definitions
documentation-search-and-retrieval
Medium confidenceSearches GrowthBook's documentation and knowledge base through MCP, returning relevant documentation articles, guides, and API references based on text queries. The capability uses semantic or keyword-based search to find documentation content and returns structured results with titles, summaries, and links, enabling developers to access GrowthBook knowledge without leaving their development environment.
Integrates GrowthBook's documentation as a searchable knowledge base accessible via MCP, allowing LLM agents to retrieve relevant guides and API references in response to developer queries, versus requiring manual documentation portal navigation
Enables contextual documentation retrieval within development workflows and LLM reasoning chains, reducing context-switching to external documentation portals
mcp-protocol-tool-calling-interface
Medium confidenceExposes GrowthBook capabilities through the Model Context Protocol (MCP) tool-calling interface, enabling LLM clients (Claude, etc.) to invoke GrowthBook operations as structured function calls. The capability implements MCP's tool schema specification, translating natural language intents into GrowthBook API calls with proper parameter validation, error handling, and response formatting.
Implements GrowthBook operations as MCP tools with proper schema definition, parameter validation, and error handling, enabling seamless integration with LLM clients that support the MCP protocol, rather than requiring custom API client implementations
Provides standardized MCP tool interface that works with any MCP-compatible LLM client, versus custom integrations that require per-client implementation
api-credential-management-and-authentication
Medium confidenceManages GrowthBook API authentication and credential handling for MCP operations, supporting secure storage and retrieval of API keys and endpoint configuration. The capability handles authentication headers, request signing, and credential validation before executing GrowthBook API calls, ensuring secure communication with GrowthBook instances.
Implements secure credential handling within the MCP server context, isolating API keys from LLM clients and ensuring credentials are not exposed in tool parameters or responses, versus passing credentials through LLM-visible channels
Provides server-side credential management that prevents API keys from being visible to LLM clients or logged in LLM interactions, improving security posture versus client-side credential handling
error-handling-and-api-response-translation
Medium confidenceTranslates GrowthBook API errors and responses into human-readable messages suitable for LLM interpretation and user feedback. The capability catches API errors, formats error details with context, and returns structured error responses that LLMs can interpret and act upon, enabling graceful error handling in automated workflows.
Translates low-level GrowthBook API errors into structured, LLM-interpretable error responses with context and suggested actions, enabling LLM agents to reason about failures and attempt recovery, versus raw API error codes
Provides LLM-friendly error handling that enables agents to understand and recover from failures, versus raw API errors that require manual interpretation
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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Fine
Build Software with AI Agents
Best For
- ✓engineering teams using GrowthBook as their feature flagging platform
- ✓developers building CI/CD pipelines that require automated flag management
- ✓teams integrating feature flags into their development workflow via Claude or other MCP clients
- ✓developers performing pre-deployment flag audits
- ✓teams building observability dashboards that pull flag state programmatically
- ✓engineers troubleshooting flag behavior by inspecting current configuration
- ✓product teams using GrowthBook experiments to validate feature changes
- ✓developers automating rollout decisions based on experiment results
Known Limitations
- ⚠Requires valid GrowthBook API credentials and active GrowthBook instance
- ⚠Flag creation is limited to the schema and validation rules defined by the GrowthBook API
- ⚠No built-in conflict detection if multiple processes create flags simultaneously
- ⚠Changes propagate asynchronously to GrowthBook's edge cache — may take seconds to minutes
- ⚠Retrieval returns point-in-time snapshot; does not stream real-time flag changes
- ⚠Large flag inventories (1000+ flags) may require pagination or filtering to avoid timeout
Requirements
Input / Output
UnfragileRank
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About
** — Create and read feature flags, review experiments, generate flag types, search docs, and interact with GrowthBook's feature flagging and experimentation platform.
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