Skip to main content
Glama

Server Details

BPS — Badan Pusat Statistik (Statistics Indonesia) WebAPI MCP.

If you are the author of this connector, you can claim ownership with GitHub, an HTTP challenge, or a DNS record. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
Status
Unhealthy
Last Tested
Transport
Streamable HTTP
URL
Repository
pipeworx-io/mcp-bps-id
GitHub Stars
0
Server Listing
mcp-bps-id

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool update
    • Changeddeep_research1 field changed
      • changedInput schema / properties / depth / description
        Previous value: -"How many facets to research in parallel: quick=3 (single hop), standard=5 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=8 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."New value: +"How many facets to research in parallel: quick=3 (single hop), standard=3 (default; adds a gap-recovery hop that re-angles unanswered facets + a contradictions[] scan across findings), thorough=6 (paid; adds a full iterative hop that chases leads + recovers gaps, plus the contradictions[] scan)."

Frequently Asked Questions

Discussions

No comments yet. Be the first to start the discussion!

Related MCP Connectors

Related MCP Servers

  • A
    license
    B
    quality
    A
    maintenance
    Enables AI clients to access official Indonesian statistical data from Badan Pusat Statistik (BPS) through natural language queries. It provides over 20 tools for retrieving demographic, economic, and trade data with support for bilingual responses and fuzzy domain matching.
    34
    29
    5
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Citation-first MCP server for official Indonesian financial data from IDX, BPS, and KSEI, providing tools to access company profiles, financial reports, statistical tables, and investor demographics.
    10
    MIT
Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.1/5.0
Disambiguation3/5

There are several overlapping query tools (ask_pipeworx, ask_pipeworx_beta, ask_pipeworx_grounded, deep_research, validate_claim) with nuanced differences that could cause misselection, and the polymarket suite has six tools with tightly related purposes (arbitrage, edges, edge tracker, fill risk, kalshi spread, bet research). These are distinguished by detailed descriptions, but the beta and stable router are currently identical, and the boundary between ask_pipeworx and deep_research requires careful reading. Most other tools (memory, subscriptions, entity resolution) are clearly distinct.

Naming Consistency4/5

Nearly all tools follow a snake_case, verb-first or domain-prefixed pattern (ask_pipeworx, compare_entities, resolve_entity, polymarket_*). Some stray from the verb_noun ideal (e.g., ai_visibility_check starts with a noun, pipeworx_trending uses a domain prefix), but the overall style is consistent and readable. Exceptions like ask_pipeworx_beta are still within the same convention.

Tool Count4/5

31 tools is on the heavier side but reasonable for a meta-server that aggregates thousands of underlying data sources across company filings, economics, prediction markets, and AI visibility. Each tool serves a distinct workflow (querying, deep research, arbitrage, memory, subscriptions, scanning), though some niche prediction-market tools (polymarket_edge_tracker, polymarket_fill_risk) could be seen as over-specialized for a general data platform. Still, the count feels justified for the breadth.

Completeness4/5

The surface is remarkably complete for its purpose: querying (ask_pipeworx), grounded verification (validate_claim, ask_pipeworx_grounded), entity resolution, comparison, company profiles, change feeds, AI visibility checks, memory persistence, subscriptions with alerts, and prediction-market analysis. Minor gaps exist (no tool for automated scheduling beyond subscriptions, no file management), but core workflows have no dead ends and the memory/subscription lifecycle is fully covered.