Philippine government data (PHIVOLCS, PAGASA, PhilGEPS, PSA, AQICN) as 12 MCP tools.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ph-civic-data": {
"args": [
"ph-civic-data-mcp"
],
"command": "uvx"
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
The multi-source MCP server for Philippine civic data. Earthquakes, weather, typhoons, procurement, population, poverty, solar radiation, air quality, satellite vegetation indices, and macro indicators — all in your AI agent, no API keys required.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'ph-civic-data-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked ph-civic-data-mcp against OSV.dev.
Click any tool to inspect its schema.
Be the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in data
Query and manage PostgreSQL databases directly from AI assistants
Manage Supabase projects — databases, auth, storage, and edge functions
Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
MCP Security Weekly
Get CVE alerts and security updates for io.github.xmpuspus/ph-civic-data-mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
The multi-source MCP server for Philippine civic data. PSGC codes, infra spending accountability, earthquakes, weather, typhoons, procurement, population, poverty, solar radiation, air quality, satellite vegetation indices, and macro indicators — all in your AI agent, no API keys required.
ph-civic-data-mcp is a zero-cost, stdio-transport MCP server. v0.5.0 is a reliability + agent-UX pass from a full product audit: list tools now return an explicit {results: [], upstream_error: true, caveats} envelope on upstream failure instead of an empty list (an outage can no longer read as "no earthquakes"), failures are never cached, the PSGC resolver understands nicknames (QC, Gensan, CDO) and surfaces alternatives for ambiguous names, volcano alert levels are stitched into both multi-hazard composites, and the server now ships MCP resources + prompts. v0.4.0 expands the PSA OpenSTAT layer beyond population/poverty into the live economy — get_inflation_stats (regional CPI), get_labor_stats (Labor Force Survey), get_health_indicators — and adds the auto-stitch differentiator get_area_profile: name a place once and get the resolved PSGC spine plus demographics, economy, procurement, hazard, and weather composed in a single agent turn, with infrastructure notices already normalized per 100k residents. v0.3.1 was a correctness pass on the v0.3.0 accountability layer (no fabricated PAGASA advisories, stoplisted hazard tokens, "City of Manila" coordinate bridge, province/agency-alias infra search). v0.3.0 added the PH Accountability layer: PSGC location resolver, infra spending search, and one cross-source heuristic that flags procurement notices for further review by cross-referencing PHIVOLCS earthquakes and PAGASA typhoon footprints. v0.2.0 added six no-auth scientific + open-data sources (NASA POWER, Open-Meteo Air Quality, NASA MODIS, USGS FDSN, NOAA IBTrACS, World Bank Open Data) on top of the original four Philippine government feeds (PHIVOLCS, PAGASA, PhilGEPS, PSA). 29 tools total. Boots and runs with zero API keys.
All data sourced from public records (PSGC, PHIVOLCS, PAGASA, PhilGEPS, PSA, and open scientific feeds). Heuristic indicators are statistical only; specific allegations, if any, require independent investigation and corroboration.
One JSON file. One claude command. Your agent just correlated live Philippine weather with 2020 Census population data in a single