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PopNx MCPMCP servers for people who use AI · explained in plain words

PH Civic Data

by xmpuspusversion 0.8.0i★ –iRuns on your computer
Registry nameio.github.xmpuspus/ph-civic-data-mcp

Install

Overview

Description from the maker (original English)

PH civic data as MCP tools: the full PSA OpenSTAT catalog, hazards, procurement. 41 tools.

PopNx MCP’s three pillars

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

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: Other
  • You need to fill in: PAGASA_API_TOKEN

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).
  • You fill in yourself: PAGASA_API_TOKEN

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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.

Open in VS Code

Or copy the settings yourself

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.

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

Values you fill in

  • PAGASA_API_TOKEN secret env
    Optional PAGASA TenDay API token. Without it, get_weather_forecast automatically falls back to Open-Meteo.

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account xmpuspus, 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 Otheri

  • More stars than 0% of the other 18372 servers in this category
  • Published to the registry more recently than 32% of the other 18372 servers in this category
  • Basic checks equal to or better than 100% of the other 18372 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 PH Civic Data 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?

You need to fill in: PAGASA_API_TOKEN

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 (0.8.0) reached the registry 2 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: Spec Driven Development, Remote Desktop Commander, A1RO — Irish employment tools

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

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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.

ph-civic-data-mcp

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.

Install

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).

What can I ask?

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 a place at a glance
  • "Give me a profile of Tacloban." get_area_profile
  • "What is the PSGC code for QC?" resolve_ph_location
  • "How many people live in Zamboanga City?" get_population_stats
  • "What is the poverty rate in Eastern Visayas?" get_poverty_stats
  • "Is it safe in Albay right now?" assess_area_risk
  • "List the cities in Cebu province." list_admin_units
  • "Show the full admin hierarchy above this barangay." get_location_hierarchy
Compare two or more places
  • "Compare Cebu City and Davao City on population and poverty." compare_areas
  • "How does Zamboanga's employment rate compare to Cagayan de Oro's?" compare_areas
  • "Export a five-city comparison as a CSV file." compare_areas
Check hazards near a place
  • "Any earthquakes near Legazpi in the last day?" get_latest_earthquakes
  • "Read the full PHIVOLCS bulletin for that quake." get_earthquake_bulletin
  • "What is Mayon's current alert level?" get_volcano_status
  • "Is a typhoon active in the Philippine area right now?" get_active_typhoons
  • "Cross-check that quake against the USGS global feed." get_usgs_earthquakes_ph
  • "What is the river flood outlook for Cagayan de Oro this week?" get_flood_forecast
  • "Which typhoons have passed near Samar since 1990?" get_historical_typhoons_ph
Search procurement and spending
  • "Search every PhilGEPS notice for road repair." search_procurement
  • "Search PhilGEPS for flood control projects in Pampanga." search_infra_projects
  • "Summarize infra spending in Bicol for 2025." summarize_infra_spending
  • "How much procurement activity is there in Region VII?" get_procurement_summary
  • "Flag PhilGEPS notices in Cebu that warrant a closer look." flag_infra_anomalies
  • "Pull the full notice for one flagged project." get_infra_project
Query the PSA statistical catalog
  • "Find PSA tables that mention fertility." search_psa_catalog
  • "Walk me through the poverty subject on OpenSTAT." browse_psa_catalog
  • "What dimensions does this poverty table have?" describe_psa_dataset
  • "Pull poverty incidence by island group for 2023." query_psa_dataset
  • "What is the current inflation rate?" get_inflation_stats
  • "What is the national unemployment rate?" get_labor_stats
  • "Pull PSA health indicators for the latest year." get_health_indicators
  • "What PSIC code covers rice farming?" search_psic_codes

query_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.

Check weather and environment
  • "What is the 5-day forecast for Iloilo?" get_weather_forecast
  • "Any weather alerts active in Bicol?" get_weather_alerts
  • "How much solar radiation does Palawan get?" get_solar_and_climate
  • "What is today's air quality in Manila?" get_air_quality
  • "How has Mindanao's vegetation changed this year?" get_vegetation_index
  • "List the latest PAGASA weather advisories." list_pagasa_advisory_files
  • "What is the Philippine GDP per capita trend?" get_world_bank_indicator
Read the 2025 election results
  • "Walk the election tree down to precincts in Adams, Ilocos Norte." browse_election_results
  • "Show me the vote tally for precinct 28010001." get_election_return

The archive froze on 2025-05-16, so these two read a fixed public record. The tools retrieve and never interpret.

Track new laws and find open datasets
  • "What did the Official Gazette publish this week?" get_official_gazette_feed
  • "Find Philippine flood datasets on HDX." search_hdx_datasets

Every HDX dataset carries its own license. Read license_id before reuse.

Start from a prompt instead of a tool

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 a full profile for one place

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.

An outage returns an envelope, never an empty list

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_statusMeaning
successThe source returned a value, with its provenance.
emptyThe source answered but has no row for this request.
unavailableThe source failed to respond, or sent an unreadable body.
indeterminateThe source answered, but the server cannot trust the result.
invalid_requestThe 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.

Sources and freshness

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

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