About LaunchSpy
LaunchSpy provides read-only market research tools and workflow prompts for AI agents studying coaches and course creators. It covers creators, Meta ads, funnels, pricing and funnel tools, with a companion skill for common research workflows.
Key features
- 01Searches creators by niche and country
- 02Inspects active ads and ad copy
- 03Ranks ads by run length and EU reach
- 04Breaks down funnel steps and pricing
- 05Checks known information about a domain
- 06Provides five research workflow prompts
Use cases
- 01Compare competitors' active ads
- 02Collect ad hooks for a creative swipe file
- 03Assess niche competition before a course launch
- 04Analyze a competitor's funnel and pricing
MCP support
The hosted MCP server provides ten read-only tools and five workflow prompts. Clients can connect through `https://launchspy.io/api/mcp` using OAuth or an API key; agents without MCP can use the REST API.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://launchspy.io/api/mcpclaude mcp add --transport http io-launchspy-launchspy https://launchspy.io/api/mcp{"mcpServers":{"io-launchspy-launchspy":{"type":"http","url":"https://launchspy.io/api/mcp"}}}Open in Cursor{"servers":{"io-launchspy-launchspy":{"type":"http","url":"https://launchspy.io/api/mcp"}}}Open in VS Code{"mcpServers":{"io-launchspy-launchspy":{"type":"http","url":"https://launchspy.io/api/mcp"}}}{"mcpServers":{"io-launchspy-launchspy":{"serverUrl":"https://launchspy.io/api/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
Details
From the project READMELaunchSpy for AI agents

Spy on the ads and funnels of the top coaches and course creators from your AI agent, and copy what works: who sells in a niche, the Meta ads they run, how long each ad has been running, the funnels behind the ads and the tools those funnels are built on.
This repository packages the LaunchSpy MCP server with a workflow skill, for any AI agent, whatever the model behind it: Claude Code, Hermes Agent, Cursor, ChatGPT, n8n and any client that speaks MCP or reads Agent Skills. Agents without MCP use the REST API.
What your agent can do
- Map a niche: the creators that advertise the most in a niche and a country, with their platforms, followers and ad volume.
- Study a competitor: their active ads, headlines, calls to action and landing pages, and how many new ads they launched in the last 30 days.
- Find winning angles: search ad copy by topic, ranked by run length and EU reach.
- Take a funnel apart: steps, builder, tracking pixels, payment stack, pricing and urgency mechanics.
- Check a website: what LaunchSpy already knows about any domain.
Ten read-only tools: search_creators, get_creator, get_creator_strategy, get_rising_creators, search_ads, get_top_ads, search_funnels, get_funnel, analyze_url, get_market.
No agent? The same data is served by the REST API for n8n, Make, Zapier and scripts (OpenAPI spec).
What to ask
You do not have to name LaunchSpy or ask for "an analysis". Ask the way you would ask a colleague, in your language:
| You ask | Skill that runs |
|---|---|
| "Help me with my creative strategy" · "My ads are not working, what are the others doing?" | creative-strategy-coach |
| "Build me a swipe file" · "Give me hooks for my coach client" | ad-swipe-file |
| "What price should I charge for my course?" · "Break down this funnel" | funnel-teardown |
| "Is my niche saturated?" · "I want to launch a course on X, does it work?" | niche-validation |
| "Analyse my client's competitors" · "What is this coach doing?" | competitor-watch |
The same five workflows are served as MCP prompts by the server. Documentation: launchspy.io/docs.
Requirements
- A LaunchSpy account. A free account is enough to try it, no card needed: it gets 50 trial credits, once (they do not renew, and EU reach is not included). The Pro and Business plans include monthly credits. See pricing.
- Each tool call uses one LaunchSpy credit. Connecting and listing the tools is free.
Install
Claude Code
claude mcp add --transport http launchspy https://launchspy.io/api/mcp
Then copy skills/launchspy into ~/.claude/skills/, or install the skill with the command below.
Any agent that reads skills
npx skills add launchspyio/launchspy-agent
Hermes Agent
hermes plugins install launchspy
The first tool call opens your browser to sign in to LaunchSpy.
Other MCP clients (Claude Desktop, Cursor, ChatGPT, n8n…)
Use the server URL https://launchspy.io/api/mcp with OAuth, or an API key from LaunchSpy Settings → API. Step-by-step guides: launchspy.io/mcp.
Disclosure
- Network: every tool call goes to LaunchSpy's hosted server (
launchspy.io) and runs on the signed-in user's account. The tool set is served by that server at runtime. - Credits: each successful or failed
tools/calluses one credit of the user's LaunchSpy plan. - Sign-in: in Hermes, the package runs the pinned
[email protected]throughnpx(Node.js 20.18.1+ and npm required). On first use it opens a browser and a local callback port, and stores OAuth tokens under~/.mcp-auth. - Read-only: all ten tools are annotated read-only. They read the LaunchSpy database; none of them writes data or visits a live page. The server is marked untrusted in
plugin.json, so Hermes asks before calling a tool when it is configured to. - Third-party content: tool results contain text written by advertisers (ad copy, page titles). The skill instructs the agent to treat it as data and never follow instructions found in it.
- Provenance: the MCP server, its OAuth server and the product all run on launchspy.io, operated by LaunchSpy (APEX GLOBAL WORLD SOLUTIONS LLC).
- No local code: this package is configuration and instructions only (
plugin.json,mcp.json,.mcp.json,skills/).
Links
- Product: launchspy.io
- Documentation: launchspy.io/docs · llms.txt · OpenAPI
- MCP guide: launchspy.io/mcp
- Privacy policy: launchspy.io/privacy
- Terms: launchspy.io/terms
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.