Featured

Deploy OpenClaw in 60 seconds — 20% off logoDeploy OpenClaw in 60 seconds — 20% off

Launch OpenClaw on Hostinger in about 60 seconds and keep your agent live 24/7. Our referral link gives you 20% off, no coupon code needed.

Launch on Hostinger
Run your Hermes agent on Hostinger, fully managed logoRun your Hermes agent on Hostinger, fully managed

Launch Hermes on Hostinger in one click, fully managed, no VPS knowledge needed. Use code ZACAARON10 for 10% off.

Launch on Hostinger
Crawl and scrape any site into clean data, 10% off logoCrawl and scrape any site into clean data, 10% off

Firecrawl crawls and scrapes any site into clean markdown for your agent. Get 1,000 free credits, and new users get 10% off their first purchase.

Try Firecrawl free
6,000+ web scrapers for your AI agent, start free logo6,000+ web scrapers for your AI agent, start free

Apify gives your agent live web data: 6,000+ prebuilt scrapers and actors, MCP-ready. Sign up free with $5 in usage credits.

Try Apify free
One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free
SetupClaw: done-for-you OpenClaw for founders & exec teams logoSetupClaw: done-for-you OpenClaw for founders & exec teams

White-glove OpenClaw for founders and exec teams (4–50+ employees): we install, harden, integrate your tools, and maintain it — secured from day one.

Get it set up for you
SEO data APIs for your agent, $1 free credit logoSEO data APIs for your agent, $1 free credit

DataForSEO gives your agent live access to SERP results, keyword data, backlinks, and on-page SEO data through one API. New accounts get a $1 credit, good for up to 20,000 keyword or backlink lookups.

Try DataForSEO free
Reach 48,000+ AI builders

A flat monthly placement in front of developers actively installing AI tools. No lock-in, cancel anytime.

Advertise here

Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

MCP server for South Korean election research, providing tools to search candidates, retrieve election results, and lookup campaign booklet texts using NEC open data and the krpoltext dataset.

README.md

South Korean Election MCP (kr-elections-mcp)

Korean README

![DOI](https://doi.org/10.5281/zenodo.19490046) ![CI](https://github.com/taehyun-lim/kr-elections-mcp/actions/workflows/ci.yml) ![Python 3.11+](https://www.python.org/) ![License: MIT](LICENSE) ![Auth: BYOK](https://www.data.go.kr/)

South Korean Election MCP (kr-elections-mcp) is a local Python FastMCP server for South Korean election research. It combines NEC open data, normalized result adapters, and krpoltext text lookups into task-oriented MCP tools.

This repository is composite-first. It does not mirror every raw NEC endpoint as a public MCP tool. Instead, it focuses on higher-value workflows such as candidate packets, district summaries, election overviews, diagnostics, and safe text lookups.

What It Provides

  • Candidate search and profile retrieval
  • Candidate policy retrieval when NEC coverage is available
  • District-level election results and summaries
  • Party vote-share history and election overviews
  • krpoltext text lookup for campaign booklet corpus rows
  • Composite packet assembly across NEC, results, and krpoltext text
  • NEC API diagnostics for local BYOK usage

Quick Start

1. Install the CLI

Requires Python 3.11+.

Recommended for most users:

pipx install .

pipx keeps the CLI isolated and makes it easier to point MCP clients at a stable kr-elections-mcp command.

If you prefer plain pip:

python -m pip install .

For development from a repository checkout:

python -m venv .venv
# activate the virtual environment for your shell
python -m pip install -r requirements.txt
python -m pip install -e .

This project is currently distributed as a Python package, not an npm package. If your MCP client is JavaScript- or Node-based, install the Python CLI first and then reference kr-elections-mcp from the client config below.

2. Apply for NEC API access

This project uses a BYOK model. Each user must apply for the relevant NEC OpenAPI products through the Public Data Portal (data.go.kr).

The Public Data Portal notes that encoded and decoded service keys can behave differently depending on API environment or invocation conditions. This server accepts both forms.

See:

3. Store the key securely

Recommended:

kr-elections-mcp setup-key

setup-key accepts both encoded and decoded NEC service keys. You can store one or both.

Important behavior:

  • If only NEC_API_KEY_DECODED is present, the server derives the encoded variant automatically.
  • Request order is always decoded first, then encoded.
  • Legacy NEC_API_KEY still works as a fallback.

Useful commands:

kr-elections-mcp show-key-source
kr-elections-mcp clear-key

4. Run the MCP server

kr-elections-mcp run

MCP Client Example

After installation, your MCP client should launch the Python-installed CLI, not an npm wrapper.

{
  "mcpServers": {
    "south-korean-election": {
      "command": "kr-elections-mcp",
      "args": ["run"]
    }
  }
}

If you do not want OS keyring storage, you can provide the key in the MCP client environment instead:

{
  "mcpServers": {
    "south-korean-election": {
      "command": "kr-elections-mcp",
      "args": ["run"],
      "env": {
        "NEC_API_KEY_DECODED": "YOUR_DECODED_KEY"
      }
    }
  }
}

NEC_API_KEY_ENCODED is not required if the decoded key is already available.

API Key Storage Rules

Key lookup priority is:

  1. Process environment or MCP client env
  2. OS keyring
  3. .env development fallback

Within each source, the server prefers NEC_API_KEY_DECODED and NEC_API_KEY_ENCODED, then falls back to legacy NEC_API_KEY.

Recommended for public users:

  • Use kr-elections-mcp setup-key when possible.
  • Keep keys out of chat, screenshots, and Git commits.
  • Treat .env as a development-only fallback.
  • If you intentionally use .env, pass it explicitly with --env-file .env.
  • In many environments, NEC_API_KEY_DECODED alone is enough.

Source Checkout Fallback

If you are running directly from a repository checkout instead of an installed package, the legacy commands still work:

python server.py setup-key
python server.py show-key-source
python server.py run

If you intentionally want to load a local dotenv file, pass it explicitly:

kr-elections-mcp run --env-file .env
python server.py run --env-file .env

Tools

Core tools:

  • list_elections
  • list_districts
  • list_parties
  • search_candidates
  • get_candidate_profile
  • get_candidate_policies
  • get_district_results
  • get_district_summary
  • get_party_vote_share_history
  • get_election_overview
  • assemble_candidate_packet
  • diagnose_core_api_access

Additional tools:

  • diagnose_full_api_access
  • get_krpoltext_text
  • get_krpoltext_meta
  • match_krpoltext_candidate

krpoltext Text Support

This repository does not OCR live NEC booklet PDFs on demand.

Current behavior:

  • get_krpoltext_text can match on candidate name plus optional year, office, district, and party hints.
  • It can also match directly on booklet code.
  • get_krpoltext_meta returns structured campaign booklet metadata without the long booklet text body.
  • The metadata tool preserves merged candidate bio fields such as giho, birthday, age, job, edu, and career* when the upstream dataset provides them.
  • match_krpoltext_candidate resolves an NEC candidate first, then ranks krpoltext rows using election scope plus stronger personal identifiers.
  • Same-election same-district same-name collisions remain ambiguous unless a stronger personal identifier uniquely matches.
  • The adapter now uses the current krpoltext data manifest under /data/index.json, falls back to /data/metadata.json when needed, and resolves the campaign_booklet resource.
  • It understands both legacy download_url entries and newer download_urls maps from krpoltext 0.2.0, including OSF-managed artifact links.
  • Enriched NEC linkage fields such as huboid are preserved when the upstream corpus provides them, and match_krpoltext_candidate can use them as strong identifiers.
  • Runtime installs now include pyarrow, so enriched Parquet artifacts can be preferred by default while CSV metadata and fallback URLs remain supported.
  • Legacy text fetches stay on configured krpoltext hosts, and dataset artifact fetches accept the trusted OSF-managed download hosts used by the current manifest.
  • When text is available in the campaign booklet corpus, the tool returns the dataset-backed text record and corpus metadata such as code, party_name, and page_count when present.
  • This public repository does not expose live NEC booklet discovery, URL derivation, or PDF download.

Example metadata lookup for Moon Jae-in in the 2017 presidential election:

get_krpoltext_meta(
  candidate_name="문재인",
  election_year=2017,
  office_name="president",
  district_name="전국 대한민국",
  party_name="더불어민주당",
  limit=3
)

Example response shape:

{
  "items": [
    {
      "record_id": "ECM0120170001_0001S",
      "code": "ECM0120170001_0001S",
      "candidate_name": "문재인",
      "office_name": "president",
      "election_year": 2017,
      "district_name": "전국 대한민국",
      "giho": "1",
      "party_name": "더불어민주당",
      "birthday": "1953-01-24",
      "age": 64,
      "edu": "경희대학교 법률학과 졸업",
      "career1": "(전)더불어민주당 당대표",
      "career2": "(전)제19대 국회의원",
      "page_count": 15,
      "has_text": true
    }
  ],
  "warnings": []
}

Example conservative NEC-to-krpoltext match:

match_krpoltext_candidate(
  candidate_name="문재인",
  sg_id="20170509",
  sg_typecode="1",
  district_name="전국 대한민국",
  limit=5
)

Example response shape:

{
  "status": "resolved",
  "message": "Resolved krpoltext metadata row from NEC election, office, district, and name context.",
  "item": {
    "code": "ECM0120170001_0001S",
    "candidate_name": "문재인",
    "district_name": "전국 대한민국",
    "giho": "1",
    "birthday": "1953-01-24",
    "age": 64,
    "match_method": "name+year+office+district+party+giho+birthday+age+sex+education+job+career",
    "match_confidence": 1.0
  },
  "warnings": [],
  "errors": []
}

The examples above use a real 2017 presidential-election row from the managed campaign booklet corpus.

Resources

  • resource://nec/elections
  • resource://nec/districts/{sg_id}/{sg_typecode}
  • resource://nec/parties/{sg_id}/{sg_typecode}

Documentation

How to Cite

If you use this software in research, cite the software record or export citation metadata from CITATION.cff.

Example citation:

Lim T (2026). kr-elections-mcp. doi:10.5281/zenodo.19490046, Python package version 0.1.0, https://github.com/taehyun-lim/kr-elections-mcp.

Example BibTeX:

@Manual{Lim2026krElectionsMcp,
  title = {kr-elections-mcp},
  author = {Tae Hyun Lim},
  year = {2026},
  doi = {10.5281/zenodo.19490046},
  url = {https://github.com/taehyun-lim/kr-elections-mcp},
  note = {Python package version 0.1.0},
}

Testing

Tests are designed to run with mocks and stubs even without a live NEC API key.

pytest

The source-adapter tests cover krpoltext manifest resolution, trusted-host handling, and campaign booklet corpus lookups.

Limitations

  • NEC policy coverage is incomplete and depends on service support by election and office.
  • Live NEC API access still depends on each user's approved data.go.kr access.
  • Result coverage can differ by source and historical election availability.
  • krpoltext support depends on the current external dataset manifest and does not perform live OCR over NEC booklet files.

License

This project is released under the MIT License.

See related servers & alternatives →

Related MCP servers

Browse all →

Related guides

Hand-picked reading to help you choose and use Search servers.