tenets and meta-prompt-mcp

One tool provides an MCP server for intelligent context to feed prompts, while the other offers an MCP server for official prompting guides to build robust meta-prompts, making them complementary tools that can be used together to enhance prompt engineering.

tenets
51
Established
meta-prompt-mcp
22
Experimental
Maintenance 10/25
Adoption 4/25
Maturity 24/25
Community 13/25
Maintenance 10/25
Adoption 1/25
Maturity 11/25
Community 0/25
Stars: 7
Forks: 2
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 1
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
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 meta-prompt-mcp

kapillamba4/meta-prompt-mcp

MCP server providing on-demand access to official prompting guides for building robust meta-prompts.

Related comparisons

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

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