community-prompt-voting-mcp-server
MCP server for community-driven prompt voting and discovery — submit, upvote, and find the best AI prompts. Like Reddit/HackerNews, but for prompts.
Why Community Prompt Voting?
The best prompts should rise to the top. This MCP server brings democratic voting to AI prompt libraries:
- Community-driven: Anyone can submit prompts, anyone can vote
- Network effect: More users → better prompts → more users (exponential value)
- Trending: Like HackerNews — recent + upvoted prompts surface first
- Searchable: Find prompts by keyword, category, or tags
Tools (7)
| Tool | Description |
|---|---|
submit_prompt |
Submit a new prompt to the community library |
upvote_prompt |
Upvote a prompt (toggle to remove vote) |
downvote_prompt |
Downvote a prompt (toggle to remove vote) |
get_trending_prompts |
Get trending prompts (score × recency) |
get_category_rankings |
Rankings by category |
search_prompts |
Search by keyword, category, or tags |
get_voting_info |
System statistics and top-rated prompts |
Installation
pip install community-prompt-voting-mcp-server
Claude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"community-prompt-voting": {
"command": "community-prompt-voting-mcp-server"
}
}
}
Usage Examples
# Discover trending prompts
get_trending_prompts(limit=10)
# Submit a prompt
submit_prompt(
title="Chain-of-Thought Debugger",
prompt_text="Walk through this code step by step...",
category="coding",
tags="debugging,cot,code"
)
# Vote on a prompt
upvote_prompt(prompt_id="p001", voter_id="my_agent_id")
# Find writing prompts
search_prompts(category="writing", sort_by="score")
# See all categories
get_category_rankings()
Categories
reasoning · coding · writing · data · education · creative · research · productivity · roleplay · other
Data Storage
Prompts and votes are stored locally at ~/.community_prompt_voting_store.json. The server ships with 5 seed prompts to bootstrap the community experience.
Network Effect
"The best prompts rise through community voting. Every new voter makes the library better for everyone."
This server is part of the AiAgentKarl MCP ecosystem — 55+ servers for AI agent infrastructure.
License
MIT
Metadata
Release files for community-prompt-voting-mcp-server 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| community_prompt_voting_mcp_server-0.1.0.tar.gz | 7.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| community_prompt_voting_mcp_server-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 17.4 kB
Release files / community_prompt_voting_mcp_server-0.1.0.tar.gz
| Download URL | community_prompt_voting_mcp_server-0.1.0.tar.gz |
|---|---|
| Size | 7.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e3c9a8c231764ead3665618d60e0c86e8c8bbee4107bff9c9514010b486cb0ee
|
|
BLAKE2b-256 checksum How to use checksums |
d4a5b311bd5740b88a5368cb1847a0d0d66cc76f5b02f67970c73d09e8957005
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.3
|
Release files / community_prompt_voting_mcp_server-0.1.0-py3-none-any.whl
| Download URL | community_prompt_voting_mcp_server-0.1.0-py3-none-any.whl |
|---|---|
| Size | 9.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
05601c428ed5731d51b23eec7eb4b00002a1c847b542a098279c1ef48b605b9c
|
|
BLAKE2b-256 checksum How to use checksums |
38731f6aae10d0d9a52bf837cd5e91ec2cb8d5b3182722834001ef5cf5988e94
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.3
|