get_market_summary
Retrieve a system-wide summary of all tokens tracked by Pythia, including operational status, uptime distribution, and data source health for quick system health assessment.
Instructions
Get a summary of all tokens tracked by Pythia with operational overview.
Returns system-wide stats, tokens grouped by status, uptime distribution, data source health, and infrastructure status. Useful for quickly understanding what Pythia covers and whether the system is healthy.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- src/pythia_oracle_mcp/server.py:257-322 (handler)The get_market_summary tool handler function. Fetches live data from feed-status.json and returns a system overview with tokens grouped by status, ecosystem coverage, data source health, and infrastructure status.
@mcp.tool() async def get_market_summary() -> str: """Get a summary of all tokens tracked by Pythia with operational overview. Returns system-wide stats, tokens grouped by status, uptime distribution, data source health, and infrastructure status. Useful for quickly understanding what Pythia covers and whether the system is healthy. """ data = await _fetch_data() tokens = data.get("tokens", []) stats = data.get("stats", {}) system = data.get("system", {}) generated = data.get("generated_at", "unknown") lines = [f"Pythia Oracle — System Overview (as of {generated})\n"] # Overall stats lines.append("System Stats:") lines.append(f" Tokens: {stats.get('tokens', '?')}") lines.append(f" Indicator feeds: {stats.get('total_indicators', '?')}") lines.append(f" Chains: {stats.get('chains', '?')}") lines.append(f" Ecosystems: {stats.get('ecosystems', '?')}") lines.append(f" Avg response: {stats.get('avg_response_ms', '?')}ms") lines.append(f" Active incidents: {stats.get('active_incidents', 0)}") lines.append("") # Tokens by status by_status: dict[str, list[str]] = {} for t in tokens: s = t.get("status", "unknown") by_status.setdefault(s, []).append(t["symbol"]) lines.append("Tokens by Status:") for status in ["live", "warn", "down", "unknown"]: if status in by_status: syms = ", ".join(sorted(by_status[status])) lines.append(f" {status:<6} ({len(by_status[status])}): {syms}") lines.append("") # Tokens by ecosystem by_eco: dict[str, list[str]] = {} for t in tokens: eco = t.get("ecosystem", "Other") by_eco.setdefault(eco, []).append(t["symbol"]) lines.append("Coverage by Ecosystem:") for eco, syms in sorted(by_eco.items(), key=lambda x: -len(x[1])): lines.append(f" {eco:<20} {len(syms)} tokens: {', '.join(sorted(syms))}") lines.append("") # Data sources sources = system.get("sources", []) if sources: lines.append("Data Sources:") for s in sources: lines.append(f" {s['name']:<15} status: {s['status']} (tier {s['tier']})") lines.append("") # Infrastructure infra = system.get("infrastructure", {}) if infra: lines.append("Infrastructure:") for component, status in infra.items(): lines.append(f" {component:<15} {status}") return "\n".join(lines) - src/pythia_oracle_mcp/server.py:257-258 (registration)Registration via @mcp.tool() decorator on the async function get_market_summary. The FastMCP instance 'mcp' is created at line 17.
@mcp.tool() async def get_market_summary() -> str: