highlowticker-algo-mcp
A read-only MCP server that lets an AI agent (Claude Desktop, Cursor) explore the live HighLowTicker algo feed conversationally. It consumes the feed into a rolling in-memory buffer and exposes a few query tools plus the wire-protocol schema as a resource.
Read-only by design. The server subscribes to the periodic market summary
for itself, but it never sends a watch list, so it can never change the feed
subscription state of any other program connected to the same socket. The
capability to drive subscriptions belongs to your own strategy via the
highlowticker-algo-feed client, not to this shared agent lens.
Install
pip install highlowticker-algo-mcp
Requirements
- HighLowTicker running with the algo feed enabled (Settings, Algo feed :7412).
- Python 3.10 or newer. (The plain
highlowticker-algo-feedclient works on 3.9; the MCP layer needs 3.10.)
Wire-protocol reference and examples: https://highlowtick.com/algo-feed.html
Tools
get_market_summary()— latest market push/pull and breadth summary.recent_tape(symbol=None, kind=None, n=20)— recent new-high / new-low / price-update frames.top_movers(by="high", k=10)— symbols ranked by cumulative new-high or new-low count since session start.hottest_recent(by="high", k=10, window_seconds=300)— symbols ranked by new-high/new-low crossings in a trailing window (default 5 min), distinct fromtop_movers's cumulative count. Response includescoverage_secondsso a freshly-started MCP process visibly under-reports rather than silently claiming full-window coverage it hasn't observed yet.index_quotes()— last-known price/pct_change for configured index symbols (default SPY/QQQ/IWM, override viaHLT_INDEX_SYMBOLS), retained even as the rolling tape buffer evicts older events.
Resources
schema://algo-feed— the wire-protocol JSON Schema.doc://field-reference— a condensed field reference.doc://python-client-quickstart— how to use thehlt_algo_feedpypi package's Python API (AlgoFeed,run(),notify_when()) to write a standalone strategy script, including a minimal runnable example.
Claude Desktop config
Add to your MCP servers config:
{
"mcpServers": {
"highlowticker-algo-feed": {
"command": "hlt-algo-mcp"
}
}
}
Interactive testing (MCP Inspector)
mcp dev loads its target as a standalone file, which breaks the package's
relative imports. Use the scripts/mcp_dev.py shim (it re-exports the installed
package's FastMCP instance) and keep the editable install active with -e .:
cd highlowticker-algo-mcp
source .venv/bin/activate
pip install "mcp[cli]"
mcp dev -e . scripts/mcp_dev.py:mcp
The background feed reader starts via the server's FastMCP lifespan, so the Inspector's Tools tab returns live data (feed must be running on :7412).
Metadata
Release files for highlowticker-algo-mcp 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| highlowticker_algo_mcp-0.2.0.tar.gz | 17.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| highlowticker_algo_mcp-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.9 kB
Release files / highlowticker_algo_mcp-0.2.0.tar.gz
| Download URL | highlowticker_algo_mcp-0.2.0.tar.gz |
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