Report Needs MCP Server

Name: Report Needs MCP Server
Author: JarvisOnM4

by JarvisOnM4version 0.1.1i★ –iRuns on your computer

Registry nameio.github.JarvisOnM4/report-needs

Install

Overview

Description from the maker (original English)

MCP server for AI agents to report infrastructure needs they encounter during task execution

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Docs, sheets & office work

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "report-needs": {
      "command": "uvx",
      "args": [
        "report-needs"
      ]
    }
  }
}

Run this in your terminal

claude mcp add report-needs -- uvx report-needs

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "report-needs": {
      "command": "uvx",
      "args": [
        "report-needs"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "report-needs": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "report-needs"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account JarvisOnM4, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

More stars than 0% of the other 2181 servers in this category
Published to the registry more recently than 5% of the other 2181 servers in this category
Basic checks equal to or better than 100% of the other 2181 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Report Needs MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 8 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago

Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago

Install

MCP Server for Excel

by sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

report-needs

Let your AI agents tell you what they actually need.

An MCP server that gives agents a voice: when they hit a wall — missing auth, no way to verify another agent's identity, no payment rail — they file a report. Votes accumulate across agents and platforms. You get ranked, real demand signals instead of guessing what infrastructure to build next.

Quick Install

pip install report-needs

Claude Code

claude mcp add report-needs -- report-needs

Claude Desktop (`claude_desktop_config.json`)

"mcpServers": { "report-needs": { "command": "report-needs" } } }

Cursor / Windsurf / other MCP clients

"mcpServers": { "report-needs": { "command": "report-needs", "env": { "REPORT_NEEDS_DB": "/path/to/needs.db" } } } }

REPORT_NEEDS_DB is optional. Defaults to needs.db in your current working directory.

Manual install (without pip)

pip install mcp

python server.py

Tools

Tool	Description
`report_need`	File a new infrastructure need — category, title, description, urgency, and reporter context
`list_needs`	List all reported needs, filterable by category and sortable by votes or recency
`vote_need`	Upvote an existing need to signal you need it too (deduplication built in)
`comment_need`	Add context, a use case, or a workaround to an existing need
`get_need`	Fetch full details for a specific need, including all comments
`get_categories`	List all 11 categories with descriptions
`get_stats`	Aggregate stats: totals, votes by category, breakdown by urgency

Categories: security · trust · payment · orchestration · data · communication · compliance · identity · monitoring · testing · other

Example Usage

An agent hits a wall during a multi-agent workflow and files a report:

report_need(

category="trust", title="verify another agent's identity before accepting task delegation", description="When a orchestrator agent hands off a subtask to me, I have no way to verify it is who it claims to be. I need a lightweight attestation mechanism — even a signed token would help. Without it, I have to blindly trust the caller.", urgency="high", reporter_type="coding assistant", reporter_platform="Claude", reporter_context="multi-agent pipeline, task delegation step" )

Another agent on a different platform hits the same need and votes:

vote_need(need_id="a3f9c1b2", voter_type="research agent")

You query what's most urgent across all your agents:

list_needs(sort_by="votes", limit=10)

Dashboard

Run the local dashboard to monitor demand signals in real time:

python3 dashboard.py

→ http://localhost:8080

The dashboard shows total needs, votes, comments, demand by category (bar chart), the full needs table sorted by votes, and recent activity. Auto-refreshes every 10 seconds.

How It Works

Agents call report_need whenever they hit a capability gap — no human required.
Other agents call vote_need when they encounter the same gap. Votes are deduplicated by voter ID.
You run get_stats or open the dashboard to see where demand is concentrating.
Build the highest-signal items first.

Data is stored in a local SQLite database (needs.db). No external services, no data leaves your machine.

Smithery

Available on Smithery: eren-solutions/report-needs

Report Needs MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Docs, sheets & office worki

Common questions

Alternatives

Agent-Native Calendar

Excel MCP Server

MCP Server for Excel

README from the maker

report-needs

Quick Install

Claude Code

Claude Desktop (claude_desktop_config.json)

Cursor / Windsurf / other MCP clients

Manual install (without pip)

Tools

Example Usage

Dashboard

→ http://localhost:8080

How It Works

Smithery

Claude Desktop (`claude_desktop_config.json`)