MCPs tagged with experimentation
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Parallel Task MCP
Launch deep research or task groups for Parallel APIs via the Model Context Protocol.
Parallel Task MCP provides a way to initiate and manage research or task groups through LLM clients using the Model Context Protocol. It enables seamless integration with Parallel’s APIs for flexible experimentation and production development. The tool supports both remote and local deployment, and offers connection capabilities for context-aware AI workflows.
- ⭐ 4
- MCP
- parallel-web/task-mcp
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GrowthBook MCP Server
Interact with GrowthBook from your LLM client via MCP.
GrowthBook MCP Server enables seamless integration between GrowthBook and LLM clients by implementing the Model Context Protocol. It allows users to view experiment details, add feature flags, and manage GrowthBook configurations directly from AI applications. The server is configurable via environment variables and leverages GrowthBook's API for functionality. This integration streamlines experimentation and feature management workflows in AI tools.
- ⭐ 15
- MCP
- growthbook/growthbook-mcp