tenets and promptz-mcp
These are competing implementations of an MCP server, with both aiming to provide intelligent context to prompt engineering.
Maintenance
10/25
Adoption
4/25
Maturity
24/25
Community
13/25
Maintenance
2/25
Adoption
3/25
Maturity
16/25
Community
17/25
Stars: 7
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 4
Forks: 8
Downloads: —
Commits (30d): 0
Language: TypeScript
License: MIT-0
No risk flags
Stale 6m
No Package
No Dependents
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 promptz-mcp
cremich/promptz-mcp
MCP Server implementation for promptz.dev
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