Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
PH civic data as MCP tools: the full PSA OpenSTAT catalog, hazards, procurement. 41 tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
PAGASA_API_TOKENValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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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": {
"ph-civic-data": {
"command": "uvx",
"args": [
"ph-civic-data-mcp"
],
"env": {
"PAGASA_API_TOKEN": "your-value"
}
}
}
}Run this in your terminal
claude mcp add ph-civic-data --env PAGASA_API_TOKEN=your-value -- uvx ph-civic-data-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ph-civic-data": {
"command": "uvx",
"args": [
"ph-civic-data-mcp"
],
"env": {
"PAGASA_API_TOKEN": "your-value"
}
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ph-civic-data": {
"type": "stdio",
"command": "uvx",
"args": [
"ph-civic-data-mcp"
],
"env": {
"PAGASA_API_TOKEN": "your-value"
}
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 8, 2026
The registry name was verified with the GitHub account xmpuspus, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: PAGASA_API_TOKEN
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).
The GitHub repo last changed –, and the latest version (0.8.0) reached the registry 2 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Spec Driven Development, Remote Desktop Commander, A1RO — Irish employment tools
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Irish temp worker cost, public holiday pay and holidays, and SafeHandle certificate checks.
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.
Philippine civic data as agent-callable tools. The full PSA OpenSTAT
statistical catalog, PSGC location codes, infra-spending accountability,
earthquakes, weather, typhoons, procurement, poverty, solar radiation, air
quality, satellite vegetation, and macro indicators. Population figures
reach barangay level. 41 tools, no API keys.
Philippine civic-data portals publish open data in different shapes: scraped HTML tables, PXWeb JSON, and undocumented APIs. Nothing ties them together for an agent to use. This server does, over stdio, with zero hosting cost and no API key needed. It answers questions such as how many people live in a barangay, whether a place sits near an active fault or volcano, what a city spent on flood control, and how one place compares against another.
All data comes from public records. Heuristic indicators are statistical only. A specific allegation needs independent investigation and a second source.
Every client below runs the same package, uvx ph-civic-data-mcp, over stdio.
Claude Desktop. Add this to claude_desktop_config.json, which sits at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS:
{
"mcpServers": { "ph-civic-data": { "command": "uvx", "args": ["ph-civic-data-mcp"] } } }
Claude Code.
claude mcp add ph-civic-data -- uvx ph-civic-data-mcp
Codex. Confirmed live on 2026-09-03.
codex mcp add ph-civic-data -- uvx ph-civic-data-mcp
Cursor. Add this to mcp.json:
{
"mcpServers": { "ph-civic-data": { "command": "uvx", "args": ["ph-civic-data-mcp"] } } }
VS Code. Add this to .vscode/mcp.json:
{
"servers": { "ph-civic-data": { "type": "stdio", "command": "uvx", "args": ["ph-civic-data-mcp"] } } }
Docker. Build once, then run with -i for stdio:
docker build -t ph-civic-data-mcp .
The image runs as a non-root user and ships a healthcheck.
That recording is vhs docs/demo_setup.tape. It spawns Claude Code with --mcp-config pointed at this server, and Claude fans out to get_weather_forecast and get_population_stats, then correlates them. The temperatures and the population are what the live sources returned while it recorded. The population turn answers from the 2024 Census of Population (NCR: 14,001,751 as of 1 July 2024).
ph-civic-data-mcp exposes 41 tools across 19 public sources. Start with get_area_profile for any place-based question. It resolves the name to a PSGC code once, then composes demographics, economy, procurement, hazards, and the 3-day outlook in a single turn, with infra notices already normalized per 100,000 residents.
get_area_profileresolve_ph_locationget_population_statsget_poverty_statsassess_area_risklist_admin_unitsget_location_hierarchycompare_areascompare_areascompare_areasget_latest_earthquakesget_earthquake_bulletinget_volcano_statusget_active_typhoonsget_usgs_earthquakes_phget_flood_forecastget_historical_typhoons_phsearch_procurementsearch_infra_projectssummarize_infra_spendingget_procurement_summaryflag_infra_anomaliesget_infra_projectsearch_psa_catalogbrowse_psa_catalogdescribe_psa_datasetquery_psa_datasetget_inflation_statsget_labor_statsget_health_indicatorssearch_psic_codesquery_psa_dataset needs an explicit value code for every dimension, refuses "all" and "*", and caps a query at 1000 cells. PSA answers a full-cube request with an HTTP 403, so describe_psa_dataset first is the only way in.
get_weather_forecastget_weather_alertsget_solar_and_climateget_air_qualityget_vegetation_indexlist_pagasa_advisory_filesget_world_bank_indicatorbrowse_election_resultsget_election_returnThe archive froze on 2025-05-16, so these two read a fixed public record. The tools retrieve and never interpret.
get_official_gazette_feedsearch_hdx_datasetsEvery HDX dataset carries its own license. Read license_id before reuse.
Three MCP prompts pre-write the multi-step work, so a client can offer them as slash commands or starting points.
area_briefing(location) composes a full place briefing.infra_accountability_scan(area) walks the procurement review path.psa_data_explorer(topic) drives the search, describe, query loop.One tool answers questions about the server itself. get_data_freshness reports the running version, the tool count, every source with its cache window and license, per-host health, and cache ages.
Two MCP resources carry context a client can read without a tool call.
data://ph-civic/source-catalog is the source, freshness, and license table.data://ph-civic/civic-framing is the language rule for accountability output.Full signatures, arguments, and limits for all 41 tools: [docs/tool-reference.md](docs/tool-reference.md).
get_area_profile("Tacloban") returns the resolved identity, then reports Tacloban's own population next to the national figure, not the region's.
{
"resolved": { "name": "City of Tacloban", "psgc_code": "083747000", "level": "city" }, "demographics": { "population": 259353, "population_year": 2024, "population_census": "2024 Census of Population", "population_reference": "PSA 2024 Census of Population, reference date 2024-07-01.", "population_geography_level": "highly_urbanized_city", "population_psgc_code": "0831600000", "poverty_incidence_pct": 20.6, "poverty_reference_year": 2023 }, "national_reference": { "population": 112729484, "population_year": 2024, "poverty_incidence_pct": 10.9, "poverty_year": 2023, "population_share_pct": 0.23, "poverty_gap_pct_points": 9.7 }, "blocks": { "resolve": "success", "population": "success", "poverty": "success", "hazard": "success", "weather": "success", "national_population": "success", "national_poverty": "success", "infra": "success" }, "upstream_error": false, "caveats": [] }
Captured live on 2026-09-03. Tacloban's own population, 259,353, replaces the Region VIII figure of about 4.6 million that an earlier version reported. Every demographic field names its own census, reference date, and geography level, so an agent never has to guess which population a number belongs to.
A list tool returns a real list on success. On upstream failure it returns an envelope instead:
{ "results": [], "upstream_error": true, "caveats": ["ConnectError: ..."] }
Read that as "the source was unreachable," never as "no earthquakes" or "no notices." Failures never enter a cache, so a retry is meaningful, and a caveats entry carries the real error rather than an exception class name.
Every single-value tool sets data_status to one of five values:
data_status | Meaning |
|---|---|
success | The source returned a value, with its provenance. |
empty | The source answered but has no row for this request. |
unavailable | The source failed to respond, or sent an unreadable body. |
indeterminate | The source answered, but the server cannot trust the result. |
invalid_request | The caller sent a bad argument. Fix the argument named in caveats. |
upstream_error and validation_error derive from data_status, so a caller can branch on either field. get_area_profile reports one status per block in blocks and folds every failed block into caveats, so a null figure never sits beside an empty caveats list.
Every response carries source and data_retrieved_at.
The table below comes straight from SOURCE_CATALOG in server.py, through scripts/render_source_matrix.py, so it cannot drift from what the server actually reports.
| Source | What it gives | Freshness |
Only the beginning is shown; read the rest in the repo