smithery Safe content atomic mcp-remote

Pest Sentinel — AI Pest Risk Intelligence

## Pest Sentinel MCP Server AI-powered pest risk intelligence for **500+ zones across the US and Canada**. Connect your AI agent to real-time and historical pest pressure data for precision agriculture, crop protection, and agronomic decision-making. ### What it does - 🗺️ **Zone lookup** — Search 500+ neighborhoods, cities, and districts by name, region, or country - 📊 **Risk scores** — Get weekly pest risk scores (0–100) for any zone, updated regularly - 📈 **Historical trends** — Query weeks of historical risk data to spot seasonal patterns - 🌾 **Crop intelligence** — Identify which pests and crops are most at risk in any region ### Who it's for - **Agronomists & crop consultants** building AI-assisted field scouting tools - **AgTech developers** adding pest intelligence to farm management platforms - **AI agents** that need structured pest pressure data for recommendations - **Researchers** studying pest population dynamics across North America ### Coverage 500+ zones · 12 US states · 7 Canadian provinces · Weekly updates ### Quick start Add this server to your agent and ask: *"What is the current pest risk in central California?"* or *"Show me historical risk trends for Toronto zones."*

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: Smithery
Repository: github.com/exterminationdmp-alt/pestsentinel-mcp-server
Author type: human
Updated: 2026-05-15

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MCP

Resolve Pest Sentinel — AI Pest Risk Intelligence from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"