civic-mcp
A minimal MCP server that exposes U.S. election dates via the get_election_dates tool, supporting all 50 states and DC with fuzzy state name matching.
README
civic-mcp
A minimal MCP server that exposes U.S. election
dates. It has a single tool, get_election_dates, backed by
election_dates.json loaded into memory at startup.
Requirements
- Python 3.10+
pip install "mcp[cli]"
Only have Python 3.9 (macOS's default system Python)? The
mcpSDK requires 3.10+ and won't install on 3.9. Install a newer version alongside your system Python without touching it — e.g. via Homebrew:brew install python@3.12 /opt/homebrew/bin/python3.12 -m venv .venv source .venv/bin/activate pip install -e ".[dev]"Then use
.venv/bin/python,.venv/bin/pytest, etc. for this project.
Run
python server.py
Or, for local development with the MCP Inspector:
mcp dev server.py
Tool: get_election_dates
Input
| field | type | required | description |
|---|---|---|---|
| state | string | yes | USPS two-letter state code (e.g. "CA") or full state name (e.g. "California"), or "DC" / "District of Columbia". Case-insensitive. |
Output
{
"state": "CA",
"state_name": "California",
"primary": "2026-06-02",
"days_until_primary": -47,
"general_election": "2026-11-03",
"days_until_general": 107,
"cycle": "2026",
"source": "Federal Voting Assistance Program (FVAP.gov)",
"source_as_of": "2026-05"
}
days_until_primary / days_until_general are computed from the current
date at request time and may be negative if the date has already passed.
days_until_primary is null if the state has no primary currently
scheduled.
Covers the 50 states + DC only; U.S. territories and local/municipal races are
out of scope (see election_dates.json metadata).
Input handling
Unrecognized input raises UnknownStateError (a ValueError subclass) with a
message listing valid codes — never a silent null or an unhandled crash.
Input is trimmed, internal whitespace is collapsed, and stray punctuation
(e.g. "D.C.") is stripped before matching. A conservative fuzzy match
(cutoff 0.82) against full state names catches common misspellings (e.g.
"Calfornia" → CA); anything below that confidence fails clearly instead
of guessing.
Tests
pip install -e ".[dev]"
pytest
tests/test_server.py covers: a valid two-letter code, a valid full name
(case-insensitive), invalid input, DC (by code, full name, and alias), a
state with no primary currently scheduled, and a snapshot-style check that
general_election is identical across every state. No state in
election_dates.json currently lacks a primary date, so that case is
exercised via monkeypatch on a synthetic entry rather than by inserting a
fabricated date into the real FVAP-sourced dataset.
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