Front door for the MarketTrace agent-feed — read-only crypto perps microstructure MCP for AI agents. Hosted at api.markettrace.ai/mcp (ai.markettrace/agent-feed in the MCP registry).
claude mcp add markettrace-agent-feed -- npx -y mcp-remote{
"mcpServers": {
"markettrace-agent-feed": {
"command": "npx",
"args": ["-y", "mcp-remote"]
}
}
}MCP Servers overview
# MarketTrace agent-feed
**Read-only crypto perps microstructure for AI agents** — normalized
cross-exchange market state with self-declared coverage and freshness on
every metric. Facts and normalization, no verdicts: the agent interprets.
- **Hosted MCP**: `https://api.markettrace.ai/mcp` (Streamable HTTP, OAuth — no API keys)
- **Official registry**: [`ai.markettrace/agent-feed`](https://registry.modelcontextprotocol.io/v0/servers?search=ai.markettrace)
- **Docs**: https://markettrace.ai/agents
This repo is the **front door** — connection configs, the interface contract,
and a thin stdio bridge. The data pipeline itself (4-venue ingest, archives,
normalization) is not open source.
---
## What it serves
6 assets (BTC, ETH, SOL, BNB, XRP, DOGE) across **Binance, Bybit, OKX,
Hyperliquid**:
| Tool | What it answers |
|---|---|
| `get_market_state` | One normalized snapshot: funding + multi-year percentile, OI, volume, CVD, order-book imbalance, liquidations, basis, drivers. *"Is ETH positioning stretched?"* |
| `get_funding_percentile` | Current funding ranked against its own multi-year history (0–100) + same-sign streak. |
| `get_liquidations_recent` | Cross-exchange liquidation totals for a window: USD, long/short split. |
| `get_ohlcv` | Consolidated cross-exchange candles (5m…1d) for ATR/range/RV math. |
| `get_conditional_outcomes` | Measured forward-return history after a stated condition — base rates instead of folklore. *"What happened historically after funding above the 90th percentile?"* |
| `get_state_history` | Time series of any numeric state field from the 15-minute archive — the trend view behind the snapshot. |
**Data:** funding rates, open interest, cumulative volume delta (CVD), order-book depth, liquidations, OHLCV candles.
**Honesty model:** every metric carries a `coverage` entry (venues, window
depth, freshness); thin history answers with disclosed depth instead of
made-up numbers; conditional outcomes go `history_silent` below the evidence
floor; every response self-declares its age. Reports history, not predictions.
## Connect
**Claude (web/desktop):** Settings → Connectors → *Add custom connector* →
`https://api.markettrace.ai/mcp` → authorize (email magic link).
**Claude Code:**
```bash
claude mcp add --transport http markettrace https://api.markettrace.ai/mcp
```
**Stdio-only clients** (via the standard OAuth-capable bridge):
```bash
npx -y mcp-remote https://api.markettrace.ai/mcp
```
More client configs in [`examples/mcp-configs.md`](examples/mcp-configs.md).
## Local stdio bridge (this repo)
[`mcp_server.py`](mcp_server.py) is a zero-dependency stdio bridge: it starts
and answers introspection (`initialize`, `tools/list`) with no credentials —
the bundled [`tools.json`](tools.json) is a snapshot of the hosted server's
own contract. Tool **calls** are proxied to the hosted endpoint when
`MARKETTRACE_BEARER` is set; without it they return a pointer to the hosted
OAuth endpoint instead of data. It holds no methodology — just a client.
**Refresh the contract:** `tools.json` is a `{version, generated_at, tools}` snapshot of the live server's `tools/list` — regenerate it by capturing that response and stamping the current contract version (mirrors `feed.version` in `get_market_state`).
```bash
python3 mcp_server.py # Python 3.9+, no dependencies
```
Or with Docker:
```bash
docker build -t markettrace-bridge . && docker run -i markettrace-bridge
```
## Things to ask
- *"What's the market state for BTC — is positioning stretched?"*
- *"What happened historically after funding above the 90th percentile?"*
- *"How did open interest build over the last 3 days?"*
- *"How much got liquidated on ETH in the last hour — longs or shorts?"*
## Terms
Informational market data only — **not financial advice**.
[Privacy Policy](https://markettrace.ai/privacy) ·
[Terms of Service](https://markettrace.ai/terms) ·
Contact: support@markettrace.ai
The bridge in this repo is MIT-licensed ([LICENSE](LICENSE)); the hosted
service is governed by the Terms above.
What people ask about markettrace-agent-feed
What is MarketTrace/markettrace-agent-feed?
+
MarketTrace/markettrace-agent-feed is mcp servers for the Claude AI ecosystem. Front door for the MarketTrace agent-feed — read-only crypto perps microstructure MCP for AI agents. Hosted at api.markettrace.ai/mcp (ai.markettrace/agent-feed in the MCP registry). It has 0 GitHub stars and was last updated 1mo ago.
How do I install markettrace-agent-feed?
+
You can install markettrace-agent-feed by cloning the repository (https://github.com/MarketTrace/markettrace-agent-feed) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is MarketTrace/markettrace-agent-feed safe to use?
+
MarketTrace/markettrace-agent-feed has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.
Who maintains MarketTrace/markettrace-agent-feed?
+
MarketTrace/markettrace-agent-feed is maintained by MarketTrace. The last recorded GitHub activity is from 1mo ago, with 0 open issues.
Are there alternatives to markettrace-agent-feed?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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