F
licenseNot graded
qualityD
maintenanceAnalyse your LinkedIn Ads performance. Compare to benchmarks and get optimisation recommendations.
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Imagine AI Benchmark
Server Details
LinkedIn content benchmark for 900+ B2B companies and their teams, with an open scoring method.
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- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
TDQS
Score is being calculated.
Available Tools
5 toolscategory_breakdownCategory (post type) breakdownRead-onlyInspect
Post counts and engagement per content category (product update, hiring, personal story, industry insight, ...) for companies or people.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dateTo | No | Inclusive end date YYYY-MM-DD (post_date). | |
| source | No | 'company' = the company page only, 'people' = its tracked people only, 'all' = both. Default varies per tool. | |
| dateFrom | No | Inclusive start date YYYY-MM-DD (post_date). | |
| personIds | No | Person UUIDs (narrows to these people). | |
| companyIds | No | Company UUIDs. Workspace keys: omit = the live dashboard set (own company + current competitors, see the workspace tool). | |
| workspaceId | No | Internal callers only: default the set from this workspace. | |
| includeReposts | No | Include reposts. Default false. |
company_fit_summaryOne company, the research wayRead-onlyInspect
A company's page fit plus the distribution of its people's geometric means (median, baseline band), top people and who is under the 18-post floor. Company score = median of its 5 most active fitted people (by original posts in the last 90 days) plus the company page; needs 2+ fitted accounts. people.counted / countedPersonIds say who is in. Use for 'how is X doing on LinkedIn'.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| dateTo | No | Inclusive end date YYYY-MM-DD (post_date). | |
| company | No | Company name or dashboard slug, if no id. | |
| dateFrom | No | Inclusive start date YYYY-MM-DD (post_date). | |
| companyId | No | Company UUID. Workspace keys: omit = your own company. | |
| workspaceId | No | Internal callers only: default to this workspace's own company. |
industry_landscapeIndustry landscapeRead-onlyInspect
Every account in an industry (or a custom company set): per-company rollup (page fit + people median over the 5 most active fitted people (peopleCounted), preliminary = "Few posts" under 40 team posts), population vs the research baseline, and category lift with the author effect removed (which post types beat each author's own typical post). Public callers get bands and pooled lifts, the same as Discover. Use for "what works in fintech" or "where does X sit in its market".
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max accounts listed. Default 40. | |
| dateTo | No | Inclusive end date YYYY-MM-DD (post_date). | |
| dateFrom | No | Inclusive start date YYYY-MM-DD (post_date). | |
| industry | No | Industry label, e.g. "Sales & Marketing Tech". Omit with companyIds for a custom set; omit both = the live dashboard set for workspace keys, the whole catalog for operators. | |
| companyIds | No | Custom company set (e.g. a customer + its competitors). Workspace keys: omit (with no industry) = own company + current competitors from the dashboard. | |
| workspaceId | No | Internal callers only: default the set from this workspace. |
list_companiesList tracked companiesRead-onlyInspect
List companies in the benchmark catalog (customers, competitors, industry peers). Filter by name substring, industry, or tracking. Returns ids you pass to every other tool.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Max rows, default 200. | |
| query | No | Case-insensitive name substring, e.g. "rho". | |
| industry | No | Exact industry label, e.g. "Sales & Marketing Tech", "AI Infrastructure", "Fintech". Omit to see all industries. | |
| trackingOnly | No | Only companies in the scheduled scrapes (tracking_enabled). Default false. |
methodologyHow to read benchmark numbersRead-onlyInspect
Imagine AI research rules (log-normal engagement, geometric means, research baseline 49/77/130). Call once before interpreting any numbers.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
5 tool updates
- First observed
category_breakdown - First observed
company_fit_summary - First observed
industry_landscape - First observed
list_companies - First observed
methodology
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