whoamiLABSCO SUMMARY
The knowledge set is the unit, and everything else operates on it.
Nothing here answers a question about a brand in one call — you assemble the set, fetch it, and then the search and aggregation tools have something to work on. That is more setup than a lookup tool, and it is also why comparing two sets or aggregating ads by label produces anything useful. The skills exist to carry a newcomer through that first assembly.
What it is
A connector to an Adology workspace, exposing 27 tools across seven groups. Knowledge sets are the unit of work — you add brand, influencer, search or discussion feeds to one, trigger a fetch, then search, aggregate and analyse what came back.
What you get
- create_knowledge_set, add_feed and batch_add_feeds — build the tracked universe for a brand and its competitors
- trigger_fetch, list_workflows and get_workflow_status to start a scrape and watch it finish
- discover_brands across TikTok, Instagram, Facebook and YouTube, with get_suggestions for adjacent accounts
- search_items within a set, search_all across the workspace, and content_intelligence_search for semantic plus label-filtered search
- analyze, list_labels and aggregate_items to turn a pile of ads into counts by hook, format or whatever the labels capture
- get_table_data for tabular output, get_items and get_item_detail for the ad itself with its analysis and media
- compare_knowledge_sets to put two tracked sets side by side
- save_to_collection, list_collections and get_collection to keep what you found
- whoami for the account, organisation, team and plan behind the session
- Eleven guided skills covering onboarding, brand building, creative strategy, audience deep dives, influencer coaching and vetting
Requirements
An Adology account. Sign-in is OAuth 2.1 through Stytch and happens the first time a tool is called, so there is no API token to store. Add the hosted endpoint as a connector, or install it as a plugin from the marketplace inside a Claude Code session. Every tool is authorised against the caller's workspace, and cross-tenant reads are refused at the data layer.
Setup effort
Add the hosted endpoint — paste it into your client
USE CASES
01
Setting up tracking for a brand and its rivals
Discover the competitors, add them as feeds to a new set, then trigger the first fetch.
02
Finding out which hooks a category keeps reusing
Aggregate the set's items by label instead of scrolling through ads one at a time.
03
Looking for an idea rather than a keyword
Search semantically across a set, filtered by the labels that matter.
04
Understanding one ad properly
Pull the full item with its analysis, labels and media rather than a search snippet.
05
Comparing two markets or two moments
Put two tracked sets side by side and read the differences.
06
Keeping what you found for later
Save the item or the insight into a collection you can come back to.
07
Checking a scrape actually finished
List the running workflows and read the status before drawing conclusions from partial data.
27 tools
Listed in project docs. Your client may show a different list.
list_knowledge_setsget_knowledge_setcreate_knowledge_setadd_feedbatch_add_feedsremove_feedcompare_knowledge_setstrigger_fetchlist_workflowsget_workflow_statusdiscover_brandsget_suggestionsanalyzelist_labelsaggregate_itemsget_table_datasearch_itemssearch_allcontent_intelligence_searchget_itemsget_item_detaillist_conversationsget_conversationsave_to_collectionlist_collectionsget_collectionBEFORE YOU INSTALL
What to know first
Tools you get
27 tools named in the project's documentation.
INSTALLATION
Connect your client
Server setup
Setup
Sign up for an Adology account at https://adologyai.com (no API token is issued — auth is OAuth 2.1 via Stytch in the browser)
Claude.ai: Settings → Connectors → Add custom connector → Name: Adology, URL: https://mcp.adologyai.com/mcp → Connect → sign in
Claude Code: inside a session run /plugin marketplace add adologyai/content-intelligence-plugin then /plugin install content-intelligence@adology-marketplace (no clone required)
Claude Cowork: Claude Desktop → Cowork tab → Customize → Browse plugins → install the Adology plugin, or upload the latest release zip
On the first Adology tool call, approve the browser OAuth sign-in; verify with /plugin list and by asking the agent to call the whoami tool
Hosted endpoint
ENDPOINT URL
https://mcp.adologyai.com/mcpAdd this hosted endpoint to your MCP client.
MCP Clients
Claude.ai
Name: Adology
URL: https://mcp.adologyai.com/mcp
Claude Code
Inside a Claude Code session, run:
CLAUDE CODE · IN CLIENT
/plugin marketplace add adologyai/content-intelligence-plugin
/plugin install content-intelligence@adology-marketplaceClaude Desktop
In Claude Desktop, open the Cowork tab
Open Customize → Browse plugins and install the Adology plugin
Or upload the latest release zip from https://github.com/adologyai/content-intelligence-plugin/releases/latest until the directory listing is live
