tenets and shinkuro

These are ecosystem siblings, as both projects are local-first, self-hosted [Minimum Complete Products (MCP) servers](https://github.com/jddunn/tenets/blob/main/README.md?plain=1#L11) designed to manage and serve prompts for AI applications.

tenets
51
Established
shinkuro
31
Emerging
Maintenance 10/25
Adoption 4/25
Maturity 24/25
Community 13/25
Maintenance 0/25
Adoption 3/25
Maturity 15/25
Community 13/25
Stars: 7
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 3
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
Archived 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 shinkuro

DiscreteTom/shinkuro

Universal prompt loader MCP server

Related comparisons

tenets and mcp-server-langfuse tenets and systemprompt-mcp-server tenets and meta-prompt-mcp-server tenets and promptz-mcp tenets and mcp-prompt-optimizer tenets and prompt-engineer-mcp-server

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