Borrowing it
Nothing to install: this file belongs to cstillick/who_reps-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cstillick/who_reps-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/cstillick/who_reps-mcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/cstillick/who_reps-mcp/claude-md)<a href="https://agentmods.dev/instructions/cstillick/who_reps-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/cstillick/who_reps-mcp/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/cstillick/who_reps-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/cstillick/who_reps-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00747 | $0.00747 |
| Opus 5 | $0.00374 | $0.00374 |
| Sonnet 5 | $0.00149 | $0.00149 |
| Haiku 4.5 | $0.00075 | $0.00075 |
Grade A, and why
who_reps-mcp CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md — whoreps-mcp
You are building an MCP server that takes a U.S. address and returns the elected officials for it. This file is your standing brief. Read SPEC.md for the full design and BUILD_PLAN.md for the ordered milestones. Work milestone by milestone; do not skip ahead.
What this project is
A free, open MCP server that replaces the dead Google Civic Representatives API. Address → districts → officials, using only free public data.
Core principles
- Free inputs only. Every data source must be free (free API key is fine, paid is not). If a source needs payment, find another or note it as out of scope.
- Graceful degradation. If state-legislator data is missing for a state, still return federal officials and say so. Never fail the whole request because one tier is unavailable.
- Cache aggressively. Districts for an address rarely change; member rosters change slowly. Cache geocoding and roster lookups locally (SQLite) with sensible TTLs.
- Be honest about freshness. Every response includes the data source and its as-of date. This is a civic tool; correctness and provenance matter more than cleverness.
Tech stack (default)
- Python 3.11+,
uvfor env/deps. - Official MCP SDK:
mcppackage, useFastMCPfor ergonomic tool definitions. httpxfor HTTP,pydanticfor models,sqlite3/sqlite-utilsfor cache.- Transport: stdio by default; expose a
--httpflag for Streamable HTTP later. - (TypeScript alternative is acceptable if the user prefers — the SDK exists — but Python is the default because the data-joining work is simpler here.)
Data sources (all free)
- Census Geocoder —
https://geocoding.geo.census.gov/geocoder/geographies/onelineaddressreturns lat/lon + geographies including the 119th Congressional District and (where available) state legislative districts. No API key. unitedstates/congress-legislators— the canonical open YAML dataset of current federal legislators (GitHub, public domain). Use this for U.S. Senate + House rather than a live API; it's reliable and key-less. Mirror/cache it.- Congress.gov API (
api.congress.gov, free key via api.data.gov) — optional enrichment for member detail/committees. - OpenStates API v3 (
https://v3.openstates.org, free key) — state legislators by district. This is the state-tier source. - Governors — small, slow-changing; seed from a maintained open list (e.g., a vendored JSON) and document the refresh process.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 43 lines · 747 tokens per session scan A d43b0f58b9f2
who_reps-mcp CLAUDE.md is an instructions file published in the GitHub repository cstillick/who_reps-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 747 tokens to every session, about $0.0037 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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