Skip to main content
Glama

ToBid MCP — Taiwan Government Tenders

MCP server for searching and analyzing Taiwan government procurement (tenders): 14M+ notices since 1999, updated daily from Taiwan's official e-procurement platform.

Beyond search, it exposes the analysis engine of ToBid:

  • Vendor intelligence — win rate, known award totals, top clients, head-to-head rivalry records, recent losses (and who won instead)

  • Agency intelligence — spending patterns, supplier concentration, competition metrics (average bidders / sole-bid rate / failure rate), peak tendering months, and recurring annual tenders with next-tender predictions

  • Price analysis — suggested bids (conservative / typical / aggressive) from historical award-to-budget ratios, benchmarked against similar cases

  • Failed-tender opportunities — repeatedly failed tenders where competition is low and agencies are eager to award

  • Pre-tender signals — procurement forecasts (1–3 months ahead of the notice) and draft documents open for public review

  • Compliance — debarment list, revocations and Article 101 suspension cases, straight from the official site

  • Evaluation committees — published committee members per tender, member records, agency committee concentration, and which members a vendor most often meets

  • Asset sales and rentals — government auctions of vehicles, equipment, land and venues

Free, no API key, no registration.

Quick start

This is a remote MCP server (streamable HTTP). No installation needed:

https://api.tobid.tw/mcp

Claude Code

claude mcp add --transport http tobid https://api.tobid.tw/mcp

Claude Desktop / claude.ai — Settings → Connectors → Add custom connector, paste the URL above.

Also listed in the official MCP registry as tw.tobid/tenders.

Related MCP server: Taiwan Tender MCP

Tools

Tool

Description

search_tenders

Full-text tender search with filters (region, year, budget range, agency by ID or name, vendor)

get_tender

Single tender timeline: notices, amounts, winners, competition status

price_analysis

Suggested bid range from historical award/budget ratios

vendor_report

Vendor intelligence: win rate, totals, top clients, rivals, recent losses

unit_report

Agency intelligence: spending, competition metrics, recurring tenders + next-tender predictions

compare_vendors

Head-to-head record between two vendors

hot_opportunities

Repeatedly failed tenders (low competition entry points)

find_entity

Fuzzy name → official vendor/agency names and IDs

procurement_forecast

Procurement forecasts: tenders agencies plan to issue in the coming months (planned month, budget, method)

public_reading

Draft tender documents open for public review, with opinion deadlines

vendor_compliance

Debarment (拒絕往來) status, revocations and Article 101 suspension cases for a vendor

evaluation_committee

Published evaluation-committee members for a tender (name, position, background)

committee_member

A committee member's record: cases, agencies, categories, co-members, winning vendors, award/budget ratio

search_committee_members

Find committee members by name, position or agency

unit_committee

An agency's most frequently appointed committee members and top-5 concentration

vendor_committee

Committee members a vendor most often meets, with met/won counts and the vendor's overall win rate

asset_sales

Government asset sales (財物變賣) and rentals (財物出租): floor price, bid opening, location

Example prompts

  • "What smart streetlight tenders are open in Taichung?"

  • "Analyze Chunghwa Telecom's recent government contract wins"

  • "Is the Legislative Yuan a good agency to bid for? When will it tender again?"

  • "How much should I bid for this tender?"

(Works in Chinese too — the underlying data is in Traditional Chinese.)

Data

Besides the 14M+ tender notices, the server carries data scraped daily from the official procurement site query pages: procurement forecasts, public-review drafts, the debarment list, Article 101 cases, published evaluation committees (from 2018) and asset sales/rentals (from 2020). Committee data is presented as factual aggregation of official publications; evaluations are collegial decisions confirmed by the agency, and the tools say so in their output.

Source: public data from Taiwan's Government e-Procurement System (政府電子採購網), operated by the Public Construction Commission, Executive Yuan. ~14 million notices from 1999 to present, refreshed daily. This is a third-party service; verify critical figures against official notices.

Running your own

mcp_server.py is a thin FastMCP wrapper over the ToBid API. It speaks stdio by default (set MCP_TRANSPORT=streamable-http to serve HTTP instead):

pip install "mcp<2" requests
TOBID_API=https://api.tobid.tw python mcp_server.py

Or with Docker:

docker build -t tobid-mcp .
docker run -i tobid-mcp

License

MIT

Related MCP Connectors

Related MCP Servers

  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides comprehensive access to Chinese bidding and tendering data, enabling users to search for companies, analyze bidding statistics, query tender announcements, and discover project opportunities for market analysis and business development.
    10
    -
  • F
    license
    A
    quality
    Not graded
    maintenance
    Enables users to search and retrieve detailed information about Taiwan government procurement tenders through the Government Electronic Procurement System API. It supports searching tenders by keyword, category code, date, and government unit.
    6
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    MCP server that provides real-time, high-quality tender information from Taiwan's government e-procurement website via enhanced web scraping, enabling AI to query and analyze procurement opportunities.
    15
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides access to Taiwan government procurement tenders from the PCC e-procurement system without requiring API keys. Users can search for procurement data via natural language or direct tool calls.
    4 npm
    MIT