# dflow-mcp

> Use this tool when you need to access and analyze real-time and historical prediction market data from Kalshi.com. It solves problems related to tracking market sentiment and price action by providing forecasts and candlestick time series data, searchable by tickers, mints, categories, and sports. The dflow-mcp tool takes event, market, and trade queries as inputs and outputs relevant data for further analysis.

Canonical page: https://skillsregistry.net/skills/opensvm-dflow-mcp  
JSON: https://api.skillsregistry.net/v1/skills/opensvm-dflow-mcp

## Description

Access real-time and historical https://kalshi.com prediction market data across events, markets, and trades. Analyze forecasts and candlestick time series to track sentiment and price action. Search and filter by tickers, mints, categories, and sports to quickly find the data you need.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/openSVM/dflow-mcp)
- **Repository:** <https://github.com/openSVM/dflow-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "opensvm-dflow-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opensvm-dflow-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opensvm-dflow-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt