Model Context Protocol (MCP) server for freee API integration
Nothing to run from here
Foresea Forecasting is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
28
tools declared
—
trust score
remote
at its publisher
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calls last 7d
What it does
Forecast future events and scan prediction-market edges.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http foresea-forecasting-mcp https://foresea.ink/mcp/
# 2 — ask your agent for something these tools do
# foresea_forecast, foresea_analyze_market, foresea_scan_markets and 25 more
Foresea Forecasting costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
FOAll 1 server
foresea1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http foresea-forecasting-mcp https://foresea.ink/mcp/Reconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
28 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Call this whenever the user asks about probability, likelihood, or whether something will happen. Good triggers: "Will X happen?", "What are the chances of Y?", "How likely is Z?", "What's the probability that…", "Do you think X will…", "Should I bet on…". Returns a calibrated YES/NO probability (or numeric/date range) with written rationale and supporting news evid
| Parameter | Type | Required | Notes |
|---|---|---|---|
| question | string | yes | — |
| description | string | no | — |
| resolution_criteria | string | no | — |
| question_type | no | — | |
| options | no | — | |
| categories | no | — | |
| variant | string | no | — |
| attach_evidence | boolean | no | — |
| evidence_top_k | integer | no | — |
| market_platform | no | — | |
| market_url | no | — | |
| market_outcome | no | — | |
| market_probability | no | — |
Call this when the user mentions a specific prediction market by URL, slug, or ticker — or asks whether a particular market is over/underpriced. Good triggers: "Is this Polymarket fair?", "What's the edge on kalshi:XXXXX?", "Should I buy/sell this market?", user pastes a Polymarket or Kalshi URL. Fetches the live price, gathers evidence, forecasts, computes model-vs
| Parameter | Type | Required | Notes |
|---|---|---|---|
| question | no | — | |
| platform | no | — | |
| slug | no | — | |
| market_id | no | — | |
| ticker | no | — | |
| market_probability | no | — | |
| variant | string | no | — |
| evidence_top_k | integer | no | — |
| skills | no | — | |
| builtin_skills | boolean | no | — |
| ground_in_record | boolean | no | — |
| tool_loop | boolean | no | — |
| max_tool_steps | integer | no | — |
Call this when the user wants to find mispriced or interesting markets, not evaluate a specific one. Good triggers: "What should I bet on?", "Find me trading opportunities", "Which markets are mispriced right now?", "What's Foresea's best edge today?", "Scan Polymarket for opportunities". Returns markets ranked by model-vs-market disagreement, each with model
| Parameter | Type | Required | Notes |
|---|---|---|---|
| platform | string | no | — |
| limit | integer | no | — |
| min_edge | number | no | — |
| evidence_top_k | integer | no | — |
| query | no | — |
Call this when the user wants current price/volume for several markets at once -- a watchlist, a portfolio, "check on these 5 markets" -- instead of calling foresea_analyze_market once per market. Each ref is "platform:ident", e.g. "kalshi:KXFED-25JUN-H" or "polymarket:some-market-slug". Every quote carries fetched_at and age_seconds so you can judge freshne
| Parameter | Type | Required | Notes |
|---|---|---|---|
| refs | array | yes | — |
Call this after foresea_analyze_market timed out or errored with a message naming a client_run_key -- the research it started may still be running server-side. Returns {"status": "running", ...} if it's not done yet (call again in a bit), or the full report once it is. Do not call this speculatively; only use the client_run_key a prior foresea_analyze_market
| Parameter | Type | Required | Notes |
|---|---|---|---|
| client_run_key | string | yes | — |
Call this when the user asks how reliable or accurate Foresea is, or wants to know whether to trust a forecast. Good triggers: "How good is Foresea?", "What's the track record?", "Has it been right before?", "Is it calibrated?", "What's the Brier score?". Returns accuracy, Brier score, calibration (ECE), and skill-vs-market broken down by time horizon. Pass optional
| Parameter | Type | Required | Notes |
|---|---|---|---|
| fields | no | — |
Call this when the user wants the current top trading opportunities with explicit trade directions and historical backing. Good triggers: "What are the best bets right now?", "Show me the edge board", "Which model is winning the paper-trading competition?", "What's the strongest edge today?", "Are these edges statistically significant?". Returns open markets ranked
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | — |
| min_edge | number | no | — |
| fields | no | — | |
| cursor | integer | no | — |
Read public historical markets/candles/trades, batch books/midpoints/spreads, fees, holders, open interest, event volume, milestones and weather. Omit operation to discover operation names and schemas. No account or write access.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| platform | string | no | — |
| operation | string | no | — |
| parameters | no | — | |
| body | no | — |
Call this to check Kalshi exchange operational status (trading active flag) and operational hours/schedule.
No parameter schema on file.
Call this to fetch the live bids and asks orderbook depth for a Kalshi market ticker (e.g. 'KXFED-25JUN-H') or Polymarket YES-token ID.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker_or_token | string | yes | — |
| platform | string | no | — |
Call this to sample Polymarket's category vocabulary. Each entry is a label and the slug that identifies it. This is one page of at most 100 tags, not the full taxonomy: Polymarket has tens of thousands, and the endpoint returns a fixed slice that is ordered neither alphabetically nor by market activity. So absence here does not mean a tag is unused, presen
No parameter schema on file.
Call this to retrieve historical price series or OHLC candlesticks for a market (e.g. Kalshi ticker or Polymarket token/slug).
| Parameter | Type | Required | Notes |
|---|---|---|---|
| ticker_or_market | string | yes | — |
| series_ticker | string | no | — |
Call this to fetch real-time sports game statistics, play-by-play data, and live event feeds from Kalshi. Provide event_ticker for event charts, or milestone_id with data_type="game_stats" for play-by-play.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| event_ticker | string | no | — |
| data_type | string | no | — |
| milestone_id | string | no | — |
Call this to fetch Polymarket metadata: event series listings, community discussion comments for a market, or sports league metadata (target: 'series', 'comments', 'sports', 'teams'). 'series' lists the series and how many events each holds, not the events themselves -- fetch a series by slug for those. 'sports' lists every league with the ids that link it
| Parameter | Type | Required | Notes |
|---|---|---|---|
| target | string | no | — |
| market_id | string | no | — |
Call this to fetch recent public executed trades / trade tape (prices, sizes, timestamps) on Kalshi or Polymarket.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| platform | string | no | — |
| ticker_or_token | string | no | — |
| limit | integer | no | — |
Call this to fetch the top profitable prediction market trader leaderboard and rankings from Polymarket.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | — |
Conduct an adversarial multi-agent debate (Bull vs. Bear vs. Chief Risk Judge) to cross-examine evidence and isolate blind spots on a forecasting question.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| question | string | yes | — |
| platform | string | no | — |
| market_probability | no | — | |
| resolution_criteria | string | no | — |
Calculate optimal mathematical Fractional Kelly capital allocations and position sizes across live Grade A/B prediction market opportunities.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| bankroll_usd | number | no | — |
| kelly_fraction | number | no | — |
| min_edge | number | no | — |
Fetch the real-time unified Foresea Alpha & Agent Feed, combining live prediction market edge signals, autonomous agent trades & theses, and leaderboard standings.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | — |
| min_edge | number | no | — |
Scan live temperature and weather prediction markets (Kalshi KXHIGHNY, KXHIGHCHI, KXHIGHMIA, KXHIGHAUS, KXHIGHDEN, KXHIGHPHIL, etc.) against neural weather models (Google DeepMind WeatherNext 3 / MetNet) and high-resolution multi-model ensembles, calibrated with station microclimate bias profiles. Returns ranked mispricings, strike bracket probabilities, and model-v
| Parameter | Type | Required | Notes |
|---|---|---|---|
| target_date | no | — |
Retrieve neural model weather forecasts (Google Maps Weather API / WeatherNext 3 / MetNet, ECMWF, GFS, GraphCast) with empirical station bias correction (e.g. KNYC Central Park, KMDW Chicago Midway, KDEN Denver) and strike bracket probability calculations for weather prediction markets.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| station_or_query | string | yes | — |
| target_date | no | — |
Submit up to 25 forecasting questions concurrently and receive structured predictions with confidence probabilities, bull/bear factor decomposition, key catalysts, and evidence citations for each question.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| questions | no | — | |
| items | no | — | |
| concurrency_limit | integer | no | — |
| variant | string | no | — |
| attach_evidence | boolean | no | — |
| evidence_top_k | integer | no | — |
Scan real-time Kalshi cryptocurrency prediction markets (KXBTCD threshold contracts) scored against Black-Scholes zero-drift diffusion models and spot volatility. Returns tradeable market mispricings, implied odds, calibration reliability, and realized paper equity curves.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| min_edge | number | no | — |
| limit | integer | no | — |
Subscribe an external agent HTTP callback webhook to receive real-time dispatches for new forecasts and market edge opportunities. The response contains an HMAC secret (X-Foresea-Signature) for validating incoming payloads.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| url | string | yes | — |
| events | no | — | |
| min_edge | number | no | — |
Check real prediction-market trading readiness, max order notional limits, and venue configuration statuses for Kalshi and Polymarket.
No parameter schema on file.
Validate, normalize, and simulate guardrail checks for a real Kalshi or Polymarket order without submitting it to the exchange.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| platform | string | yes | — |
| action | string | yes | — |
| outcome | string | yes | — |
| price | number | yes | — |
| quantity | number | yes | — |
| order_type | string | no | — |
| ticker | no | — | |
| slug | no | — | |
| token_id | no | — | |
| time_in_force | no | — | |
| post_only | boolean | no | — |
Submit a guarded real order to Kalshi or Polymarket. Live execution requires confirmation='PLACE REAL ORDER' and execute=True, and is protected by server notional ceilings and exchange guardrails.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| platform | string | yes | — |
| action | string | yes | — |
| outcome | string | yes | — |
| price | number | yes | — |
| quantity | number | yes | — |
| confirmation | string | yes | — |
| execute | boolean | no | — |
| order_type | string | no | — |
| ticker | no | — | |
| slug | no | — | |
| token_id | no | — | |
| time_in_force | no | — | |
| post_only | boolean | no | — |
| client_order_id | no | — |
Cancel an active open order on Kalshi or Polymarket using its venue order ID.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| order_id | string | yes | — |
| platform | string | no | — |
| ticker | no | — |
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Foresea Forecasting or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.0.0.
1.0.0
undated
latestNo release note was published with this version.
—
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One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
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