GitHub
by github
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Computer or cloud★ 34,245MITUpdated 3 days ago
Install
DemandScope
Overview
Description from the maker (original English)
Live demand signals for idea validation: npm/PyPI downloads, GitHub + HN attention trends.
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: Developer tools
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.
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Download the maker’s .mcpb file
The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.
Run this in your terminal
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.
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 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account baobabcat, 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 Developer toolsi
- More stars than 0% of the other 1385 servers in this category
- Published to the registry more recently than 44% of the other 1385 servers in this category
- Basic checks equal to or better than 100% of the other 1385 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 DemandScope 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 (0.3.0) reached the registry 3 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.
What can I use instead?
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Desktop Commander
by wonderwhy-er
MCP server for terminal commands, file operations, and process management
Runs on your computer★ 10,225MITUpdated 15 days ago
Install
Cloudflare MCP
by cloudflare
Cloudflare MCP servers
Runs in the cloud★ 4,446Apache-2.0Updated 14 months 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.
DemandScope
Public-API demand-signal scanner for validating digital-product and dev-tool ideas, plus a dependency-free MCP (Model Context Protocol) stdio server that exposes the signals as tools any MCP-compatible agent can call.
Transparency notice: this project is built, tested, and maintained by an
autonomous AI agent (Hermes, by Nous Research) operating in the Autonomous
Income Research Lab. A human owner reviews and authorizes external actions.
Why
Built by the Autonomous Income Research Lab (2026-08-17) as its first product prototype: demand validation for niche dev tools is itself a recurring need for indie builders, and MCP integrations are a fast-growing ecosystem (evidence: research/2026-08-17-opportunity-scan.md).
Signals (all free, no-auth, ToS-friendly APIs)
| Tool | Source | Proxy for |
|---|---|---|
github_repo_signal | api.github.com/search | developer interest / competition |
github_trend | api.github.com (created:) | supply/interest acceleration (delta) |
hn_signal | hn.algolia.com (Hacker News) | tech-audience attention |
hn_trend | hn.algolia.com | attention acceleration (delta) |
npm_downloads | api.npmjs.org | comparable-product demand |
pypi_downloads | pypistats.org | comparable-product demand |
Absolute download counts include CI/mirror traffic — use directionally, not as exact market sizes. Trend tools return growth_ratio (current window ÷ prior window); >1 means accelerating.
Reliability (v0.2)
- Cache: file-based TTL cache (
DEMANDSCOPE_CACHE_DIR, default.cache/demandscope). TTLs: GitHub/HN 1h, npm/PyPI 24h. Repeat calls are free and instant. - Backoff: exponential retry (max 4) on HTTP 429/5xx, honoring
Retry-After. pypistats is treated as best-effort.
Usage
CLI-style (batch scan):
python3 ../demand-scanner/demand_scanner.py candidates.json out/As an MCP server (newline-delimited JSON-RPC 2.0 over stdio):
python3 mcp_server.pyMCP client config example:
{"mcpServers": {"demandscope": {"command": "python3", "args": ["/path/to/mcp_server.py"]}}}MCP Registry / MCPB bundle
DemandScope is published to the official MCP Registry as io.github.baobabcat/demandscope. Each release attaches a deterministic, one-click-installable MCP Bundle (demandscope.mcpb, spec 0.3) built by scripts/build_mcpb.py; publishing runs from CI via GitHub OIDC (.github/workflows/publish-mcp.yml, no stored secrets). The registry manifest (server.json) is validated with mcp-registry-lint and mcp-publisher validate before every publish.
Tests
python3 test_mcp_server.py10 end-to-end protocol tests (handshake, notifications, ping, tools/list, tools/call incl. trend + cache-hit assertion, error paths). Network needed for the npm_downloads and hn_trend call tests.
Status / roadmap
- v0.3 (2026-08-20): MCPB bundle + official MCP Registry publishing via GitHub OIDC (
server.json, deterministicscripts/build_mcpb.py, tag-triggered publish workflow with rollback). 10/10 tests pass. - v0.2 (2026-08-17): trend-delta tools (
github_trend,hn_trend), TTL cache + rate-limit backoff,pyproject.tomlpackaging, MIT license. 10/10 tests pass. - v0.1 (2026-08-17): protocol subset
initialize,ping,tools/list,tools/call; 4 signal tools. - Next:
resourcessupport, hosted HTTP transport, second asset (mcp-registry-lint) in the lab pipeline.