Live demand signals for idea validation: npm/PyPI downloads, GitHub + HN attention trends.
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io.github.baobabcat/demandscope is an MCP server that live demand signals for idea validation: npm/PyPI downloads, GitHub + HN attention trends. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 68/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"demandscope": {
"args": [
"/path/to/mcp_server.py"
],
"command": "python3"
}
}
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Live demand signals for idea validation: npm/PyPI downloads, GitHub + HN attention trends.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
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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.
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).
| 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.
DEMANDSCOPE_CACHE_DIR, default
.cache/demandscope). TTLs: GitHub/HN 1h, npm/PyPI 24h. Repeat calls are
free and instant.Retry-After. pypistats is treated as best-effort.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.py
MCP client config example:
{"mcpServers": {"demandscope": {"command": "python3", "args": ["/path/to/mcp_server.py"]}}}
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.
python3 test_mcp_server.py
10 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.
server.json, deterministic scripts/build_mcpb.py,
tag-triggered publish workflow with rollback). 10/10 tests pass.github_trend, hn_trend), TTL
cache + rate-limit backoff, pyproject.toml packaging, MIT license.
10/10 tests pass.initialize, ping, tools/list,
tools/call; 4 signal tools.resources support, hosted HTTP transport, second asset
(mcp-registry-lint) in the lab pipeline.