io.github.CloudCorpRecords/racemodel
NPM · @RENETURCIOS/RACEMODEL · 2 COMPONENTS
Model and map U.S. election races: scenarios, swing, turnout and precinct-level roll-ups.
Available components
Last scanned (3 hours ago)
Scores higher than 34% of npm servers
Category Data and Analytics
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 30 of 92 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 1 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability52
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 18363 tokens (~382/item across 48 items; 48 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management3
- Stability observed for 1 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage95
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 84% of tool parameters carry a description.Partial
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 48 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 48 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 5 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 0 to 3. That category is still filling its 30-day observation window: 0 days of observed history at the previous scan, 1 at this one. The score rises as the window fills, whether or not the server changes.
- 4 Nov 26 65
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Analysed npm/@reneturcios/racemodel@0.1.0
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 92 packages
| Packages resolved | 92 |
|---|---|
| Stale | 30 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
set_primary_shares ~378
Set a party's presidential-primary vote shares — one state, or MANY states in a single call. SINGLE STATE: pass `state` + `shares` (unchanged behavior; echoes the full running roll_up). BATCH: pass `states` = { "SC":…
| Name | Type | Req | Description |
|---|---|---|---|
| include_rollup | boolean | – | BATCH mode only: also return the full delegate roll_up alongside the default trimmed `delta` summary. Ignored in single-state mode (which always echoes the full roll_up). |
| party | string | yes | – |
| shares | object | – | SINGLE-STATE mode: Map of candidate_id → percentage (0-100), e.g. {"vance": 42, "desantis": 30}. Must reference set_primary_candidates ids. Empty ({}) un-models the state. |
| simulation_id | string | yes | – |
| state | string | – | SINGLE-STATE mode: State FIPS ("19") or 2-letter abbr ("IA"). Provide `state`+`shares` OR `states`, not both. |
| states | object | – | BATCH mode: Map of state (FIPS or 2-letter abbr) → its {candidate_id: pct} shares, e.g. {"SC":{"newsom":31,"harris":24},"NH":{...}}. Writes all states in one atomic call; an invalid state fails the w… |
| workspace_scope | string | – | Optional workspace for THIS call: use an exact personal/team ID from list_workspaces. Repeat on each call; it does not change the connection default. Must agree with MCP metadata and the effective HT… |
No output schema declared.
No examples provided.
set_race_scope ~462
Bind the canonical scenario to one race/campaign so its map, tally, candidates, War Room context, operations, outputs, and MCP actions share the same race identity.
| Name | Type | Req | Description |
|---|---|---|---|
| candidate | string | – | A candidate/officeholder name ("Lauren Boebert") — resolved via resolve_candidate to their office + geography + cycle, so you scope their race in ONE call and they are auto-added to the roster as the… |
| candidates | array | – | Optional array of real candidates running this race: [{id, name, party, color, incumbent?}]. Overwrites the office's candidate list. If omitted, keeps existing candidates. |
| cycle | integer | – | – |
| geography_id | string | – | Accepts the canonical resolve_geography slug at every office — president "us" / "US"; senate & governor "us-pa", "PA", or FIPS "42"; house "us-ny-cd-17", "NY-17", or the FIPS+CD external_id "3617". S… |
| level | string | – | DEPRECATED alias for `office` (kept for back-compat). Prefer `office`. |
| office | string | – | The office (seat) this race is for. This is the canonical parameter name; the older `level` is still accepted as an alias. |
| rebind | boolean | – | Deliberately re-district a campaign already bound to a DIFFERENT geography. Without it, re-scoping a bound sim is rejected (scope_locked) — a campaign is tied to the district it was created in. |
| simulation_id | string | yes | – |
| stage | string | – | – |
| workspace_scope | string | – | Optional workspace for THIS call: use an exact personal/team ID from list_workspaces. Repeat on each call; it does not change the connection default. Must agree with MCP metadata and the effective HT… |
No output schema declared.
No examples provided.
set_turnout ~626
Set the turnout (mobilization) model. PRESIDENT (default, unchanged): each dial is a percentage-point boost toward toward_candidate_id in counties over an ACS threshold (college = >20% BA share, immig = >15%…
| Name | Type | Req | Description |
|---|---|---|---|
| assumption | string | – | The modeling assumption in plain words (e.g. "youth demobilization scenario") — stored on the lever's audit entry. |
| clear | boolean | – | Race-scoped levels only: true removes every turnout (ballots) factor on this level and its set_turnout levers, returning ballots to the baseline. Vote-share edits stay. Do not combine with turnout_ch… |
| college | number | – | – |
| counties | array | – | Alias of geo_ids for county cohorts. |
| criterion | object | – | ACS-style county matcher (statewide levels): e.g. {field:"population", op:"lt", value:30000} = rural counties. Filters WITHIN geo_ids when both are passed; scope a bare criterion with state_fips. |
| geo_ids | array | – | Explicit geography cohort — 5-digit county FIPS on statewide levels (e.g. "23005" = Cumberland ME), district external ids on house/state-leg, or precinct external ids (they contain a dash, e.g. "3401… |
| hiUnemp | number | – | – |
| highHome | number | – | – |
| immig | number | – | – |
| level | string | – | president (default) = the classic ACS-threshold dials below. Any other level = the race-scoped ballots lever (turnout_change_pct + cohort). |
| lowHome | number | – | – |
| simulation_id | string | yes | – |
| source | string | – | Where this user-authored assumption came from (user statement, field report, or source citation) — stored on the lever's audit entry. |
| state_fips | string | – | 2-digit state FIPS to scope a criterion cohort to one state (e.g. "23" = Maine). |
| toward_candidate_id | string | – | – |
| turnout_change_pct | number | – | Race-scoped levels only: percent change to BALLOTS cast in the matched geography (-12 = 12% fewer, +8 = 8% more). Composes multiplicatively with prior levers; the factor is clamped to [0.05, 5]. |
| workspace_scope | string | – | Optional workspace for THIS call: use an exact personal/team ID from list_workspaces. Repeat on each call; it does not change the connection default. Must agree with MCP metadata and the effective HT… |
No output schema declared.
No examples provided.
set_view ~658
Set the active scenario view and selected map context: race stage, calendar playhead, geography grain, result source, selected feature, camera, map theme, and rail. The same persisted view state and deep link are used…
| Name | Type | Req | Description |
|---|---|---|---|
| asof | integer|null | – | The primary calendar playhead — contests counted in the race-so-far (the number set_primary_asof takes). null = full calendar. Writes sim.primary.asof (the store the viewer's scoreboard/map run at),… |
| camera_geo_id | string | – | Optional geo to frame the camera on (defaults to the scoped state). 2-digit state / 5-digit county / district GEOID / precinct id. |
| contest | string | – | Playhead targeting by contest instead of a number: a state postal code ("FL"), 2-digit FIPS, or full name — the playhead jumps to INCLUDE that contest (same semantics as set_primary_asof). |
| contest_index | integer | – | Playhead targeting by 1-based calendar ordinal (list_primary_calendar order). |
| cycle | integer | – | – |
| layers | object | – | View toggles such as precincts/highlights plus the canonical "actuals:pres_2024" baseline layer. |
| level | string | – | The map/level the view should show. |
| map_grain | string | – | The Map View grain toggle: states | counties | precincts (singular accepted, stored plural). |
| map_theme | string | – | Pin a MAP THEME audience preset on this view (list_map_themes has the registry: control | analyst | field | civic | accessible | broadcast | terrain). The open viewer restyles live; "none" clears the… |
| rail | string | – | Which right-rail panel the viewer should have open. |
| selected_geo | object | – | The selected feature on the map ({level, feature_id} — e.g. {level:"county", feature_id:"12086"} for Miami-Dade). Pass feature_id:"" to clear the selection. |
| simulation_id | string | yes | – |
| source | string | – | The per-state Outcome SOURCE control (which grain governs the shown outcome). Stored on view_state; the sim's own grain_pref pin stays set_primary_grain_pref's job. |
| stage | string | – | The race stage the viewer should see. Persisted on view_state + broadcast live; a primary-mode sim's own mode remains the identity truth (this is the VIEW). |
| state | string | – | Postal code or 2-digit FIPS to scope to (pass empty string to clear to the national view). |
| workspace_scope | string | – | Optional workspace for THIS call: use an exact personal/team ID from list_workspaces. Repeat on each call; it does not change the connection default. Must agree with MCP metadata and the effective HT… |
| zoom | number | – | Optional camera zoom; omit to fit the geo's bounds. |
No output schema declared.
No examples provided.
share_simulation ~235
Mint a public, read-only link to the exact canonical scenario/version. Authenticate for durable workspace ownership; revoke_share disables the link.
| Name | Type | Req | Description |
|---|---|---|---|
| campaign_id | string | – | Optional campaign that contains this simulation. The share is authorized against that campaign and its frozen context/manifest retain the campaign id. |
| include_deltas | boolean | – | Include modeled margin/share deltas from the canonical baseline for this exact race. |
| include_impact | boolean | – | Include national impact only for an unscoped national model. Ignored for a single-race or primary scope. |
| sections | array | – | Optional public-share section allowlist. Single-race shares remain race-scoped even when impact is requested. |
| simulation_id | string | yes | – |
| ttl_days | integer | – | – |
| workspace_scope | string | – | Optional workspace for THIS call: use an exact personal/team ID from list_workspaces. Repeat on each call; it does not change the connection default. Must agree with MCP metadata and the effective HT… |
No output schema declared.
No examples provided.
target_precincts ~638
Return structured precinct model rows: precinct_id, name, county, county_fips, baseline_share, modeled_share, ballots_est, overridden, and gap_to_goal. The response does not include demographic columns or demographic…
| Name | Type | Req | Description |
|---|---|---|---|
| candidate_id | string | – | – |
| context | string | – | Free-text constraints, echoed back (e.g. "field ops in Orange and Durham only"). |
| filter | object | – | Precinct property → condition map within the requested geography. Properties: external_id, GEOID, name, state, county, county_fips, shape_id, votes_dem, votes_rep, votes_total, pct_dem_lead, official… |
| geo_id | string | – | District or state geography — accepts the resolve_geography slug ("us-pa"), postal ("PA"), or FIPS ("42") (EM-056). Defaults to the simulation's race_scope geography. |
| goal_mode | string | – | plurality = beat the leading opponent (default); majority = 50.01% share; share = explicit target_pct. |
| limit | integer | – | – |
| margin | number | – | plurality: win by at least this many votes. |
| offset | integer | – | Page start; pass next.offset from the prior result with the same scope and filters. |
| rolloff_rate | number | – | Explicit roll-off rate (see compute_vote_goal). |
| scenario_id | string | yes | The scenario/simulation handle (EM-056: simulation_id is accepted as an alias). |
| target_pct | number | – | – |
| workspace_scope | string | – | Optional workspace for THIS call: use an exact personal/team ID from list_workspaces. Repeat on each call; it does not change the connection default. Must agree with MCP metadata and the effective HT… |
No output schema declared.
No examples provided.
How do I install the io.github.CloudCorpRecords/racemodel MCP server?
io.github.CloudCorpRecords/racemodel runs locally as an npm package, launched with npx -y @reneturcios/racemodel. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · @reneturcios/racemodel
claude mcp add cloudcorprecords-racemodel -- npx -y @reneturcios/racemodel
What is the io.github.CloudCorpRecords/racemodel MCP server?
io.github.CloudCorpRecords/racemodel is an MCP server listed in the public MCP registry as io.github.CloudCorpRecords/racemodel. Model and map U.S. election races: scenarios, swing, turnout and precinct-level roll-ups. This page covers its npm package (@reneturcios/racemodel).
Is the io.github.CloudCorpRecords/racemodel MCP server safe to use?
io.github.CloudCorpRecords/racemodel scores 66 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.CloudCorpRecords/racemodel MCP server expose?
io.github.CloudCorpRecords/racemodel exposes 48 tools: resolve_geography, resolve_candidate, search_candidates, lookup_address, list_contests, and 43 more. Their descriptions and schemas cost roughly 18,363 tokens of context every time the server is loaded.
Is the io.github.CloudCorpRecords/racemodel MCP server still maintained?
io.github.CloudCorpRecords/racemodel is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.CloudCorpRecords/racemodel MCP server under?
io.github.CloudCorpRecords/racemodel declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.