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deeplinknow

DeepLinkNow MCP Server

Official
by deeplinknow

Get the DeepLinkNow setup guide

get_setup_guide
Read-onlyIdempotent

Retrieve step-by-step setup and code to add deferred deep linking to iOS, Android, React Native, Expo, or Flutter apps, covering dashboard settings, SDK install, and link handling.

Instructions

Step-by-step setup and code for adding DeepLinkNow deferred deep linking to an iOS, Android, React Native, Expo or Flutter app: dashboard settings, SDK install, Associated Domains / App Links, initialize, checkDeferredDeepLink and handling links that open the installed app. Fetched live from deeplinknow.com's markdown docs, with a bundled copy when offline. Call this before writing integration code.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
platformYesThe app's platform. Use react-native for bare React Native, expo for Expo (development builds), flutter for Flutter (which calls the native SDKs through a platform channel).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

A4.2/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnly, idempotent, openWorld and non-destructive. The description adds genuinely new behavioral context: content is fetched live from deeplinknow.com with a bundled offline fallback, which tells the agent about network dependency and failure behavior. No auth or rate-limit details, but nothing contradicts the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two sentences with the content scope front-loaded and the imperative call-to-action last, so an agent gets the payload first. The topic enumeration is dense but every item is load-bearing for matching intent; no filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

A read-only, single-parameter tool with full schema coverage, an offline-fallback note, and no output schema to explain. Nothing needed to invoke it correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and the enum values carry their own descriptions (react-native vs expo vs flutter distinctions), so the schema does the heavy lifting. The description merely repeats the platform list already present in the enum, adding no syntax or semantics beyond it. Baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb (get) and resource (the DeepLinkNow setup guide) and enumerates the covered topics: dashboard settings, SDK install, Associated Domains/App Links, initialize, checkDeferredDeepLink. This clearly separates it from the generic sibling search_docs, which an agent would otherwise confuse it with.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The closing line 'Call this before writing integration code' gives explicit timing guidance, which is strong. It stops short of naming alternatives or when-not-to-use conditions (e.g. search_docs for non-setup questions), so it is clear context rather than full routing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.