tenets and mcp-server-langfuse
These are complements: tenets provides local-first context injection into prompts while Langfuse's MCP server enables centralized prompt versioning and management, allowing teams to combine local intelligent context with remotely managed prompt templates.
About tenets
jddunn/tenets
Local-first MCP server for intelligent context that feeds your prompts
Implements intelligent code context aggregation using NLP-based ranking (BM25, TF-IDF, embeddings, git signals) and automatically injects coding standards ("tenets") into prompts to maintain consistency. Exposes tools via Model Context Protocol to integrate natively with Cursor, Claude Desktop, Windsurf, and VS Code—all processing runs locally without external APIs.
About mcp-server-langfuse
langfuse/mcp-server-langfuse
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
Implements both the MCP Prompts specification (for discovery and retrieval) and replicates functionality as tools for broader client compatibility. Supports cursor-based pagination, compiles prompts with variable substitution, and transforms Langfuse text/chat formats into MCP prompt objects. Integrates with Claude Desktop and Cursor via environment-based API authentication, filtering to production-labeled prompts only.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work