Kalshi (cejor6) MCP Server

kalshi-mcp-server PyPI v0.3.3

Published by cejor6 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

Model Context Protocol server for Kalshi prediction markets — native RSA-PSS auth, token-bucket rate limiting, demo/prod safety controls.

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 1

high Reads a sensitive credential path or dumps the environment (src/kalshi_mcp_server/tools/external_data.py)MTC-SRC-006

In the server's implementation (`src/kalshi_mcp_server/tools/external_data.py:23`): Reading private keys / cloud credentials, or serializing the whole environment, is a sensitive-data source that becomes exfiltration when combined with any egress. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.

Evidence: lse`` so env proxies / ``.netrc`` can never inject routing or auth either. - **Redirects are NOT followed.** A 3xx wit

Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.

Location: server src/kalshi_mcp_server/tools/external_data.py

Tools 40

Each tool and what it can reach — statically extracted from the published source.

  • kalshi_fetch_external_dataingests untrusted input
  • kalshi_get_environmentreads sensitive data
  • kalshi_get_orderingests untrusted input
  • kalshi_get_seriesingests untrusted input
  • kalshi_cancel_orderno sensitive capability
  • kalshi_confirm_orderno sensitive capability
  • kalshi_create_combo_marketno sensitive capability
  • kalshi_decrease_orderno sensitive capability
  • kalshi_find_liquid_marketsno sensitive capability
  • kalshi_get_api_limitsno sensitive capability
Show 30 more tools ↓
  • kalshi_get_balanceno sensitive capability
  • kalshi_get_batch_candlesticksno sensitive capability
  • kalshi_get_combo_collectionno sensitive capability
  • kalshi_get_combo_collectionsno sensitive capability
  • kalshi_get_combo_eventsno sensitive capability
  • kalshi_get_combo_legsno sensitive capability
  • kalshi_get_eventno sensitive capability
  • kalshi_get_event_candlesticksno sensitive capability
  • kalshi_get_event_forecast_historyno sensitive capability
  • kalshi_get_eventsno sensitive capability
  • kalshi_get_exchange_scheduleno sensitive capability
  • kalshi_get_exchange_statusno sensitive capability
  • kalshi_get_fillsno sensitive capability
  • kalshi_get_live_orderbookno sensitive capability
  • kalshi_get_marketno sensitive capability
  • kalshi_get_market_candlesticksno sensitive capability
  • kalshi_get_market_tradesno sensitive capability
  • kalshi_get_marketsno sensitive capability
  • kalshi_get_milestonesno sensitive capability
  • kalshi_get_orderbookno sensitive capability
  • kalshi_get_orderbooksno sensitive capability
  • kalshi_get_ordersno sensitive capability
  • kalshi_get_positionsno sensitive capability
  • kalshi_get_series_listno sensitive capability
  • kalshi_get_series_summaryno sensitive capability
  • kalshi_get_settlementsno sensitive capability
  • kalshi_get_tradesno sensitive capability
  • kalshi_prepare_orderno sensitive capability
  • kalshi_sample_tradesno sensitive capability
  • kalshi_set_safety_limitsno sensitive capability

What this scan could not see

Versions 6

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v0.3.3 latest A 96/100 1 1.13.0 2026-08-25
v0.3.2 A 96/100 1 1.12.1 2026-08-17
v0.3.1 A 96/100 1 1.12.1 2026-08-15
v0.2.0 A 96/100 1 1.12.1 2026-08-10
v0.1.13 A 96/100 1 1.12.1 2026-08-09
Show 1 more version ↓
v0.1.12 A 96/100 1 1.12.1 2026-07-27

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 96/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan kalshi-mcp-server --online --registry pypi

Use the free API → How scoring works

Other implementations of Kalshi 6

Independent packages implementing the same tool, scanned with the same engine. Compare all 7 side by side →

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