Ph Civic Data MCP vs Infranodus MCP Server… | AllMCPs
Side-by-Side Model Context Protocol Comparison
Ph Civic Data MCP vs Infranodus MCP Server Infranodus
In-depth architectural comparison of the Ph Civic Data MCP and Infranodus MCP Server Infranodus MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Ph Civic Data MCP
Research · Local stdio
Quality: 59/100 (Good) | Auth: No auth required
Infranodus MCP Server Infranodus
Research · Local stdio
Quality: 68/100 (Great) | Auth: API Key required
Verdict Summary: Choose Ph Civic Data MCP if you need specialized Research tools running via a local process. Choose Infranodus MCP Server Infranodus if your workspace requires Research integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Ph Civic Data MCP when:
You need dedicated capabilities in the Research domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
Philippine government data as agent-callable tools: PHIVOLCS earthquakes + volcano alerts, PAGASA weather + typhoons, PhilGEPS procurement, PSA 2020 Census population + poverty, AQICN air quality. Install: uvx ph-civic-data-mcp.
Map text into knowledge graphs to create a structured representation of conceptual relations and t…
Server health + data-source catalog probe.
Doubles as the canonical version/health endpoint: returns server_version
so agents can confirm which release they are talking to. Also returns the
full upstream-source catalog with cache TTLs, freshness expectations, and
licenses — useful when deciding whether a stale cached response is OK or
a re-fetch is needed.
Returns: server_version, server_name, transport, tool_count, asof,
sources (list of {source, source_url, freshness, cache_ttl_seconds,
license}), note.
get_latest_earthquakes
Get the latest earthquake events from PHIVOLCS.
get_earthquake_bulletin
Get the full bulletin for a PHIVOLCS earthquake event.
get_volcano_status
Get current alert level for Philippine volcanoes.
get_weather_forecast
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Ph Civic Data MCP is categorized under Research and uses a local stdio subprocess. In contrast, Infranodus MCP Server Infranodus belongs to Research using local stdio subprocess. Select Ph Civic Data MCP when you need capabilities focused on research and Infranodus MCP Server Infranodus when you require tools for research.
Get weather forecast for a Philippine location.
Uses PAGASA TenDay API when PAGASA_API_TOKEN is set, Open-Meteo otherwise.
get_active_typhoons
Get active tropical cyclones in/near the Philippine Area of Responsibility (PAR).
Returns empty list if none active. If the PAGASA bulletin page is
unreachable, returns {results: [], upstream_error: true, caveats} instead,
so an outage is never read as "no active typhoons".
get_weather_alerts
Get active PAGASA weather alerts and advisories.
The PAGASA homepage embeds alert names ("Heavy Rainfall Warning",
"Flood Advisory") in its navigation menu and breadcrumbs as well as
in actual active-warning sections. We can reliably detect the
"No Active Warnings" state but cannot yet isolate active warnings
from chrome text. To avoid fabricated advisories, this tool returns
`[]` with a caveat when the page is reachable but the state is
ambiguous, and `[]` with the explicit "no active warnings" signal
when the homepage says so. For real-time advisories, call
`bagong.pagasa.dost.gov.ph` directly.
search_procurement
Search PH government procurement from PhilGEPS open data.
Note: the PhilGEPS public portal does not expose server-side search for
external clients, so this tool fetches the latest ~100 bid notices and
filters them in-memory. Data is cached 6 hours. Keyword/agency/region
filters are applied client-side (case-insensitive substring match).
get_procurement_summary
Aggregate procurement statistics over the latest notices cached from PhilGEPS.
get_population_stats
Philippine population from PSA OpenSTAT (2020 Census).
get_poverty_stats
Poverty incidence from PSA (latest: 2023 Full-Year).
get_inflation_stats
Headline consumer-price inflation (year-on-year, all items) from PSA.
Source: PSA OpenSTAT Consumer Price Index, 2018-based. The tool discovers
the current CPI series by text (never a hardcoded table id) and returns the
most recently published month's year-on-year change. Reports the exact
reference period — PSA publishes with a lag, so this is the latest available
figure, not necessarily the current month.
+20 more tools listed on main page
Infranodus MCP Server Infranodus Tools (40)
generate_knowledge_graph
Generate a knowledge graph with main topics, topical clusters, concepts, concepts (nodes) relations (edges) and structural gaps. Only use when explicitly asked to analyze a text or generate a knowledge graph. Do not use for short clarifying questions that you already have an answer to from the context of the conversation.
create_knowledge_graph
Create a knowledge graph in InfraNodus from text or from a URL, save it, and provide its name and a link to it for future use.
generate_ontology_graph
Use AI to generate a reasoning ontology knowledge graph (entities and the relations between them) and optionally save it as a InfraNodus graph. Three sources, provide exactly one: prompt (a topic — one AI call), text (a long document or a structural digest of a project, chunked server-side), or sourceGraphName (an existing graph — e.g. a fully ingested repo, vault, or corpus — whose statements are read back, chunked, and condensed into an ontology). Set ontologyMode: 'codebase' for software projects, or 'procedural' to write a DIGEST of how the project works (prose statements with [[wikilinks]], not relation triples) from an already-uploaded graph — save it as <repo|vault>-<project>-digest for optimize_knowledge_base. Use to get a rich overview, a reasoning map of a topic, or a condensed 'how it fits together' graph of a large corpus.
memory_add_relations
Add relations to the InfraNodus memory from text, save it, and provide its name and a link to it for future use.
memory_get_relations
Provide a list of relations from the InfraNodus memory for a given concept or entity
analyze_existing_graph_by_name
Extract and analyze the content of an existing InfraNodus graph from your account.
analyze_text
Extract and analyze a graph from text, URL, YouTube video transcript, or an existing InfraNodus graph.
generate_content_gaps
Generate content gaps from text, URL, or an existing graph using knowledge graph analysis.
generate_topical_clusters
Generate topics and clusters of keywords from text, URL, or an existing graph using knowledge graph analysis.
generate_research_questions
Analyze text or an existing graph and generate innovative research questions based on the content gaps identified between the topical clusters. Provide either text, url, or graphName. Can be used to improve the text and the discourse it relates to
generate_research_ideas
Analyze text or an existing graph and generate innovative research ideas based on the content gaps identified between the topical clusters inside the text that can be used to improve the text and the discourse it relates to.
generate_responses_from_graph
Use text, URL, or an existing InfraNodus knowledge graph and generate responses and expert advice based on a prompt provided.