BoundaryML/baml
BAML (Basically a Made-up Language) is an AI framework that facilitates reliable AI workflows and agents by transforming prompt engineering into schema engineering for structured output generation.
Awesome Infra for AI › Prompt Management
langfuse/mcp-server-langfuse
This project implements an MCP server specifically for Langfuse Prompt Management, enabling the surfacing and control of Langfuse prompts through the Model Context Protocol. It allows external applications, such as Claude Desktop or Cursor, to discover and interact with prompts stored in Langfuse. The server adheres to the MCP Prompts specification, offering functionalities like `prompts/list` for cursor-based pagination of available prompts and `prompts/get` to retrieve and compile specific prompts with provided variables. It translates Langfuse text and chat prompts into standard MCP prompt objects. To ensure broader compatibility, the server also exports tools like `get-prompts` and `get-prompt` which mirror the MCP Prompts' functionality, offering similar list and retrieval capabilities. Key features include transforming Langfuse prompts, compiling prompts with user-defined variables, and providing mechanisms for integration with various MCP clients. The project aims to facilitate the operationalization and standardized access of prompts managed within Langfuse, making them discoverable and usable across a wider ecosystem of AI development tools and applications.
https://github.com/langfuse/mcp-server-langfuse
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