Remote, keyless MCP server exposing a source-cited register of AI-linked layoffs, a 0-100 AI Layoffs Index, and per-company verdicts.
What you can do
Read the AI Layoffs Index: current 0-100 score, band, uncertainty range, monthly change and weighted components
Get published job-loss counts, including evidence-weighted headline figures and an independent US count
Search the register of AI-linked layoff events by company, text, attribution, evidence tier, status, country, sector, role and date range
Look up a specific company's verdict and stated position on AI-attributed cuts
When to use it
Useful when an assistant needs cited, dated evidence on AI-attributed job losses: tracking the index over time, answering how many jobs AI has cost, or checking whether a named company blamed AI for cuts.
Requirements
A remote streamable HTTP endpoint at ailayoffs.org; no API key, environment variables or headers are declared. Network access is required.
Before you install
Figures are the register's own published and evidence-weighted estimates, not official statistics, and the index is scaled against AI's own history rather than a share of all jobs; treat verdicts and counts as one source's interpretation and check the cited evidence.
Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/org.ailayoffs%2Fai-layoffs/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.
Current reading of the AI Layoffs Index, a 0-100 score of AI-attributed job-loss pressure scaled against AI's own history since 2023 (not a share of all jobs). Returns the value, its band, the uncertainty range, the change vs last month, the three weighted components with what each reads, the as-of date, and a ready-made citation string. Takes no arguments.
Takes no parameters.
count_ai_job_losses
How many jobs has AI replaced?
Answers 'how many jobs has AI replaced (or cost) this year?' with the register's published count: roles disclosed in layoffs linked to AI, roles where the employer itself named AI, the evidence-weighted headline figure, and the independent Challenger, Gray & Christmas count of US cuts attributed to AI. Each figure carries its scope (worldwide or US), its period and its definition, plus the ready-made answer sentence. The totals are computed over the whole register, so they are the published figures, not a sum of search results. Takes no arguments.
Takes no parameters.
search_ai_layoff_events
Search the AI layoffs register
Search the source-cited register of layoffs linked to AI (one row per event, 2023 to date). Filter by company, free text, attribution, evidence tier, execution status, country, sector, affected role and date range; call with no arguments for the most recent events. Each event returns the employer's own stated reason (claim), roles counted vs reported but not counted, execution status, and a link to its source and its ailayoffs.org company page; set full_context for each event's longer context paragraph.
Parametersrolesortlimitquerysinceuntilsectorcompanycountryus_onlyexecutionattribution+3 more
get_company_ai_layoffs
Did this company cut jobs because of AI?
Did a specific company cut jobs because of AI? Returns the register's verdict for that company (explicit, mixed or blamed: the strongest grade among its cuts), its answer (the strongest position its own words hold: declared, cited, conflicting, attrition, denied, not-named, or statement for a workforce statement with no cut), a plain-language summary, the roles it disclosed vs the roles counted as AI-attributed, and every recorded event with the employer's own words and source. It also lists the company's later cuts that the register checked and left out because neither the employer nor credible press linked them to AI (later_cuts_not_ai_linked, never counted), so a question about the newest layoff is answered either way. Accepts a company name such as 'Klarna' or 'Salesforce'. If the company is not in the register, says so and what that does and does not mean; for a notable layoff the register checked and found not linked to AI, it returns that answer with the employer's own reason and source.
Parameterscompanyrequired
Version history
1
v1.0.0LatestSep 27, 2026
Score
83%
83% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
Reached in the last 30 daysRequired25 pts
Auth declaredRequired10 pts
Tools listedRequired15 pts
DescriptionRequired15 pts
Logo10 pts
Documentation15 pts
Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.
LicenseNot applicable
A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.