Terminalfeed MCP Server

Real-time data feeds for AI agents with USDC micropayments on Base for premium tools.

Tools

Last Updated

Jun 14, 2026

What is the Terminalfeed MCP Server?

The Terminalfeed MCP server gives AI agents structured, permission-aware access to Terminalfeed through the Model Context Protocol. With 35 pre-built actions, agents can read, create, and update Terminalfeed data on behalf of authorized users.

Willow ships the Terminalfeed MCP server as part of an enterprise control plane. Every call runs behind SSO (Okta, Azure AD), enforces RBAC and least-privilege at runtime, writes to a full audit trail, and integrates with Splunk and Loki for SIEM visibility. Connect from Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, n8n, or any custom agent. Install once, distribute org-wide, and see exactly how Terminalfeed is being used by every AI agent in your stack.

Tools

tf_briefing

Fetches a real-time world-state snapshot composed from BTC ticker, Fear and Greed Index, recent earthquakes (USGS), top Hacker News story count, and ISS crew. Returns JSON. No auth required. Cache TTL 60s. Use when the agent needs a quick global pulse before deciding what to investigate.

tf_btc_price

Fetches the current Bitcoin price in USD with 24h change, high, low, and volume. Source: Binance with CoinCap fallback. Cache TTL 15s. No auth required. Use for crypto trading decisions or when the agent needs a fresh BTC quote.

tf_fear_greed

Fetches the current Crypto Fear and Greed Index value (0-100) with classification label (Extreme Fear, Fear, Neutral, Greed, Extreme Greed). Source: Alternative.me. Cache TTL 5min. Use as a sentiment signal for crypto trading decisions.

tf_crypto_movers

Fetches the top 15 cryptocurrencies sorted by 24h price change. Includes price, market cap, and percentage move. Source: CoinGecko/CoinLore. Cache TTL 30s. Use when the agent needs to surface notable crypto market moves.

tf_predictions

Fetches active Polymarket prediction markets sorted by 24h volume. Each market includes question, outcomes, and volume. Cache TTL 60s. Use when the agent needs market-implied probabilities on world events (elections, sports, macro).

tf_earthquakes

Fetches recent earthquakes magnitude 2.5 or greater from USGS. Returns count and most recent quake details (magnitude, place, time). Cache TTL 2min. Use for disaster monitoring or when the agent needs current seismic activity.

tf_climate_earthquakes

Fetches USGS pre-built summary feeds with selectable magnitude bucket (significant, 4.5, 2.5, 1.0, all) and period (hour, day, week, month). Returns flattened list (id, magnitude, place, time ISO 8601, depth_km, lat, lon, tsunami flag, USGS detail URL). Cache TTL scales with feed window (60s for hour, up to 900s for month). US Government public domain. Use when the agent needs more granular control than tf_earthquakes.

tf_climate_weather_alerts

Fetches active alerts from api.weather.gov filtered by area (2-letter state code), exact NWS event name, severity, urgency, and status. Returns id, event, severity, urgency, certainty, headline, description, areaDesc, sent/effective/expires/ends, sender_name, web URL. 60s cache. US Government public domain. US-only coverage. Use for situational awareness on active weather hazards.

tf_service_status

Fetches operational status of major dev infrastructure (GitHub, Cloudflare, Discord, OpenAI, Vercel, npm, Reddit, Atlassian, Anthropic). Cache TTL 60s. Use when the agent needs to know if a dependency is up or to explain a recent outage.

tf_economic_data

Fetches latest FRED economic indicators: Fed funds rate, CPI, unemployment rate, GDP growth. Cache TTL 1h. Use when the agent needs current US macro indicators. For deeper macro (treasury yields, forex, commodities, indices) use tf_premium_macro.

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Set Up Your Terminalfeed MCP Server in Minutes

Add the following configuration to your MCP client. Authentication is handled via OAuth. Compatible with Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code, n8n, and any MCP-compatible agent.

Claude Desktop

claude_desktop_config.json

{
  "mcpServers": {
    "willow-terminalfeed": {
      "type": "http",
      "url": "https://<org>.mcp-s.com/mcp/mcp/terminalfeed"
    }
  }
}

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "willow-terminalfeed": {
      "type": "http",
      "url": "https://<org>.mcp-s.com/mcp/mcp/terminalfeed"
    }
  }
}

Claude Code

CLI

claude mcp add willow-terminalfeed --transport http https://<org>.mcp-s.com/mcp/mcp/terminalfeed

n8n

HTTP Request Node

{
  "url": "https://<org>.mcp-s.com/mcp/mcp/terminalfeed",
  "method": "POST"
}

Or click "Install with Willow" above to set up automatically with SSO and RBAC preconfigured.

Enterprise Governance for Terminalfeed

Willow adds the layer Terminalfeed and every other SaaS doesn't ship out of the box: every call runs behind SSO (Okta, Azure AD), enforces RBAC and least-privilege at runtime, writes to full audit logs, and detects shadow AI usage across your stack. One MCP gateway. Any agent. Every tool.

Terminalfeed MCP Server FAQ

What is the Terminalfeed MCP server?

The Terminalfeed MCP server is a Model Context Protocol implementation that lets AI agents like Claude, Cursor, and ChatGPT read and write Terminalfeed data through a standardized interface. Willow hosts and governs this server so enterprises can roll it out without a security review backlog.

How is Willow's Terminalfeed MCP server different from the official one?

The official Terminalfeed MCP server is scoped to a single user's account and does not include enterprise governance. Willow's version adds SSO, RBAC, audit logging, shadow AI detection, and centralized control over which actions agents can take across the entire org.

Which AI clients work with the Terminalfeed MCP server?

Claude Desktop, Claude Code, Cursor, ChatGPT, VS Code with MCP support, n8n, and any custom agent built with OpenAI Agents SDK, LangChain, Vercel AI SDK, or Anthropic SDK.

Is the Terminalfeed MCP server secure? How does Willow handle authentication?

Every call runs behind your existing SSO (Okta, Azure AD). Per-user OAuth scopes the agent to exactly what that user can do in Terminalfeed, nothing more. No credentials reach the LLM. Every action writes to an audit trail.

Can I limit which Terminalfeed actions agents can take?

Yes. Willow lets you scope agents to specific actions, specific projects, or specific environments. Toggle actions on or off in the dashboard, or enforce policy via infrastructure-as-code through GitHub.

How do I detect shadow Terminalfeed MCP servers in my org?

Willow's browser extension and discovery service surface unmanaged MCP servers, skills, and AI agents across the org. If a developer installed an unapproved Terminalfeed MCP locally, you'll see it.

What does the Terminalfeed MCP server cost?

Pricing depends on org size and deployment model (SaaS, dedicated cloud, self-host). See withwillow.ai/pricing or contact sales for a quote.

How do I install the Terminalfeed MCP server with Willow?

Install via the Willow Connect Panel in one click, or paste the JSON snippet above into your Claude Desktop, Cursor, or Claude Code config. SSO and RBAC inherit from your existing Willow setup.