tenets and meta-prompt-mcp-server

These tools are ecosystem siblings: one appears to be a local-first server designed to provide intelligent context to prompts, while the other transforms any MCP client into a multi-agent system via prompting, suggesting the latter could potentially leverage or integrate with the former's contextual feed.

tenets

Established

meta-prompt-mcp-server

Emerging

Maintenance 10/25

Adoption 4/25

Maturity 24/25

Community 13/25

Maintenance 2/25

Adoption 7/25

Maturity 15/25

Community 17/25

Stars: 7

Forks: 2

Downloads: —

Commits (30d): 0

Language: Python

License: MIT

Stars: 35

Forks: 9

Downloads: —

Commits (30d): 0

Language: Python

License: Apache-2.0

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 meta-prompt-mcp-server

tisu19021997/meta-prompt-mcp-server

Turn any MCP Client into a "multi-agent" system (via prompting)

Related comparisons

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

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