Watchr
Overview
Description from the maker (original English)
Competitive intelligence and brand monitoring for AI assistants via Watchr.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi3 of 3 passedChecked from public information; code not scanned yet
- UsageiVery new★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs in the cloud
- Transport: Streamable HTTP
- Category: Marketing & social media
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 3 of 3 passed
- Runs on the maker’s server: what you ask it goes through their server.
- The registry lists no key to fill in.
You need
- Runs in the cloudNothing to install; it connects over the internet
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
- Open Settings → Connectors
- Press Add custom connector
- Paste the address below and press Add
- If it asks you to sign in, sign in with the maker
https://mcp.watchr.ai/mcpRun this in your terminal
claude mcp add --transport http watchr https://mcp.watchr.ai/mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"watchr": {
"url": "https://mcp.watchr.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"watchr": {
"type": "http",
"url": "https://mcp.watchr.ai/mcp"
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
- Open ChatGPT on the web → Settings → Connectors (Apps)
- Press Create or Add (some plans need Developer mode under Advanced first)
- Paste the address below, give it a name and save
- If it asks you to sign in, sign in with the maker
https://mcp.watchr.ai/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
The server asks you to sign in before it lists its tools.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account getwatchr, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- ✓ Pass
Endpoint responds
Responded in 826 ms (HTTP 401)
- ✓ Pass
Sign-in with OAuth
Declares OAuth sign-in, so your AI app can take you to log in
- … Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint
Compared with others in Marketing & social mediai
- More stars than 0% of the other 3619 servers in this category
- Published to the registry more recently than 83% of the other 3619 servers in this category
- Basic checks equal to or better than 100% of the other 3619 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Watchr safe?
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 6 days ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
What can I use instead?
In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Google Analytics MCP
GA4 MCP server for AI agents: schema discovery, server-side aggregation, analysis-ready defaults.
BibiGPT YouTube Video Summarizer
AI video summarizer: summarize and transcribe YouTube, Bilibili, TikTok and podcast videos.
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Watchr MCP Server
Bring competitive intelligence and brand monitoring into your AI assistant. Ask Claude, Cursor, or any MCP-compatible client what your competitors did this week. Answers come straight from your Watchr workspace.
Watchr is a competitive intelligence and brand monitoring platform. It watches your competitors' websites, ads, social posts, news, and other sources, then qualifies each signal against a prompt you define, so what you see is *relevant* movement, not noise.
This repository documents the official Model Context Protocol (MCP) server for Watchr. It exposes account-scoped data and controlled account workflows. API keys provide read access; authorized OAuth administrators can also configure watchlists, manage members, record feedback and manage account tags.
The server is hosted by Watchr. No local install, no Docker. Just point your client at https://mcp.watchr.ai/mcp and authenticate. There are two paths, depending on your client:
- One-click OAuth for Claude (Desktop / Code), ChatGPT, Cursor and any other client supporting Dynamic Client Registration. Browser opens, you approve, done.
- Personal API key (generated in your Watchr workspace) for agentic frameworks and custom integrations where you embed the MCP into your own automation stack.
Table of contents
- What you can do with it
- Showcase
- Available tools
- Insight response contract
- Onboarding skill for Claude Code and Codex
- Getting started with Watchr
- Authentication
- Option A. One-click OAuth
- Option B. Personal API key
- Configuration
- OAuth clients
- API key clients
- Improving your results
- Support
What you can do with it
Once connected, you can ask your AI assistant things like:
- *"What did our competitors launch this week?"*
- *"Draft a Slack message summarizing the top 5 competitive insights from this month."*
- *"Compare positioning changes across our tracked brands over the last 30 days."*
- *"Build me a one-page competitive briefing on HubSpot from the last month, make it visual."*
- *"Automatically update my Notion battle cards and competitor recap pages with this week's Watchr insights."*
The MCP server provides the data; your assistant handles the reasoning, drafting, and integration with the rest of your workflow.
Showcase
A short conversation with Claude pulling the latest HubSpot signals through Watchr:
Same data, one follow-up prompt later. Claude generates a designed competitive briefing artifact directly from the validated Watchr insights:
This is the core loop. Watchr collects and qualifies. Your AI client reasons and outputs. The MCP server is the glue.
Available tools
The default endpoint exposes 37 tools, including reads and writes. The dedicated ChatGPT profile exposes 62 tools, with individually named configuration preview/apply actions. Runtime tools/list is the source of truth for arguments, schemas and permissions.
| Tool | Purpose |
|---|---|
list_monitoring_groups | List all monitoring groups (watchlists) you have access to. Each group bundles one or more tracked brands and a custom qualifying prompt that defines what counts as relevant. |
list_brands | List the competitor brands tracked inside a monitoring group. Use this to resolve brand names before searching. |
search_insights | Search validated insights with filters (brand, date range, source type, free-text). Returns a compact list designed to decide which insights to open. |
get_insight | Fetch the full body of a single insight by ID: source URL, original content, screenshots, qualifying rationale, dates, and related items when available. |
list_reports | List reports that have been sent from a monitoring group. |
get_report | Fetch the full body of a single report: narrative, included insights, recipients, send date. |
get_workspace_context | Read role, credential scopes, effective permissions and account limits. |
list_watchr_documentation | Discover product guides and supported capabilities. |
get_watchr_guide | Read a selected product guide. |
get_monitoring_configuration | Read brands, sources, goals, relevance and report settings. |
diagnose_monitoring | Read configuration diagnostics and recorded report counters when available. |
preview_monitoring_changes | Save a bounded configuration preview without applying it. |
apply_monitoring_changes | Apply the exact approved preview, rechecking permissions and entitlements. |
get_operation_status | Read operation progress, pending confirmation or partial failure. |
set_report_email_delivery | Preview the combined report-generation and email-delivery setting. |
list_workspace_members | Read account members and pending invitations. |
invite_workspace_member | Invite a member with an explicitly authorized role. |
revoke_workspace_invitation | Revoke an explicitly identified pending invitation. |
update_workspace_member_role | Change a member role, protecting the final administrator. |
remove_workspace_member | Remove member access and revoke corresponding connections. |
list_insight_tags | Read the account tag catalog, definitions and versions. |
check_insight_tag | Validate a proposed tag and expose overlap warnings without saving. |
save_insight_tag | Create, edit, archive or reactivate an account tag. |
update_insight_tags | Add, remove or replace tags on a bounded batch of insights. |
get_insight_tags | Read tags, manual exclusions and classification state for selected insights. |
get_insight_tag_history | Read the bounded tag correction and classification audit. |
create_insight_tag_job | Prepare an explicit classification job with IDs and budget limits. |
run_insight_tag_job | Advance a job by at most one external model call within its limits. |
get_insight_tag_job | Read job progress and reserved budget without running it. |
list_watchr_skills | Discover packaged methods and their resource files. |
get_watchr_skill | Read a packaged skill file. |
search_signals | Search watchlist-scoped topics and synchronize their changes. |
get_signal | Read a topic with paginated source and report references. |
search_rejected_insights | Search retained individual rejected sources and their reasons. |
get_rejected_insight | Read an accessible retained rejection with its original evidence. |
record_insight_feedback | Record an explicit relevance, homonym or duplicate judgment without hiding the source. |
list_insight_feedback | Read recorded judgments and their provenance. |
Collections support their documented pagination and filters. Configuration uses a persistent preview followed by explicit approval before application. Reads require mcp:read; configuration and tag writes additionally require mcp:configure; member administration requires mcp:members:manage. Current roles and permissions are checked server-side. API keys remain read-only.
Previewing does not start collection, send emails or apply a change. Some apply actions launch external discovery or collection. Tag definitions do not reclassify history: classification jobs are explicit, bounded and budgeted, and preserve manual corrections by default. Recorded relevance feedback does not change qualification or perform replay.
New MCP-created watchlists have report preparation and email delivery disabled by default. Those two effects share one setting; disabling it does not stop collection. Existing report preferences are preserved.
Insight response contract
search_insights returns a compact discovery payload. Every item includes an id, a title, a factual summary, source and brand metadata, and an effective_date. The accompanying date_type says whether that effective date is the source publication date (published) or Watchr's detection date (detected). Website changes therefore remain safely dateable even when they have no publication date.
The search response intentionally omits the original description, qualification_analysis, raw dates, and related_items. This keeps result pages small enough for an AI client to rank and shortlist without spending its context window on source text it may never use.
When an item's title or summary is not clear enough, call get_insight with the returned id as insight_id before answering. get_insight provides the source description, qualification reasoning, published and detected dates, and any related validated insights. Consumers should not infer missing detail from the compact summary alone.
search_signals and get_signal expose watchlist-scoped topics, source relations and recorded report appearances. competitive_signal_id is a legacy shared grouping hint, not the authoritative topic identity. Historical report appearances may be unavailable when no structure was recorded. A stored snapshot timestamp is not proof of the actual screenshot capture time.
Onboarding skill for Claude Code and Codex
The Watchr onboarding skill helps an authorized assistant read your current setup, prepare a first watchlist or improve an existing one, show the exact preview, and verify the result after your approval. The skill and the MCP connection are separate: installing the skill does not grant access or change your account.
To install it for one project, copy the entire skills/watchr-onboarding/ directory from this repository to .claude/skills/watchr-onboarding/ for Claude Code or .agents/skills/watchr-onboarding/ for Codex. For a personal installation, use ~/.claude/skills/watchr-onboarding/ or ~/.agents/skills/watchr-onboarding/ respectively. Keep both SKILL.md and agents/openai.yaml together.
Connect Claude Code with claude mcp add --transport http watchr https://mcp.watchr.ai/mcp, then authorize through /mcp. Connect Codex with codex mcp add watchr --url https://mcp.watchr.ai/mcp/chatgpt, then run codex mcp login watchr. Complete Watchr sign-in only in the browser. Once connected, ask your assistant to use the Watchr onboarding skill.
If you start in Claude Code or Codex without a Watchr account, begin the MCP OAuth connection in that client. The browser opens Watchr's dedicated agent signup page from the validated authorization request, then returns to consent after account creation. The trial begins when the account is created; no watchlist or report email is enabled by signup alone. A direct visit to the page has no OAuth state. Real Claude Code and Codex onboarding with a new empty account still needs end-to-end acceptance testing.
Getting started with Watchr
You need a configured Watchr workspace before the MCP server has anything interesting to return. The full path:
- Create an account at watchr.ai/signup. A free tier is available.
- Finalize your settings at watchr.ai/app/settings:
- Add the brands and competitors you want to track
- Specify the market you are monitoring (used to qualify relevance)
- Subscribe to the newsletters and press feeds you want pulled in
- Add the pages you want Watchr to monitor for changes (pricing, changelog, careers, etc.)
- Add social media profiles to scrape (LinkedIn, Facebook, Instagram)
- Wait for the first collected insights. Report pr
Only the beginning is shown; read the rest in the repo