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MCP Server for AI Assistants

Free, read-only employment-law tools over the Model Context Protocol. Any MCP client — Claude, ChatGPT, IDEs, agents — can ground answers about workplace rights in real court rulings, employer litigation records, and step-by-step process guidance.

No API key. No account. Rate-limited for fairness. Results include source context, citations, or record links where available, plus a not-legal-advice notice — this is legal information, not legal advice.

Connect

Streamable HTTP endpoint (JSON-RPC 2.0, stateless):

https://www.workers-rights.com/api/mcp

Claude Code: claude mcp add --transport http workers-rights https://www.workers-rights.com/api/mcp

claude.ai / Claude Desktop: Settings → Connectors → Add custom connector → paste the endpoint URL. A GET on the endpoint returns a machine-readable discovery catalog.

Tools (9)

search_rulingsparams: query?, law?, court?, circuit?, state?, outcome?, date_from?, date_to?, limit?
Search employment-law rulings

Search published employment-law rulings from our research corpus by keyword, law, court, federal circuit, state, outcome, and date. Returns published opinions with citations, outcomes, procedural stage, employers, claim types, recorded monetary amounts, and links to the full opinion. Use this to ground any claim about how employment cases have been decided. Results are quality-filtered (low-confidence and junk rows excluded).

find_similar_casesparams: claim_types?, protected_classes?, employer_name?, state?, industry?, law_ids?, level?, narrow_to_laws?
Find how similar cases were decided

Given the facts of an employment situation — claim types, protected class, employer, state — analyze how similar real cases in the corpus were decided. Returns the aggregate plaintiff (employee) win rate, settlement rate, typical damages range, the topics courts discussed most in opinions employees won vs. lost, and a few representative example cases. Counts are returned at three levels (nationwide, the federal courts of the state's region, and the state) with a detailed breakdown for one level: who won, award amounts, what happened at each stage, and topics. Relay which level a figure describes. A level with few opinions returns counts without a win rate. Each example says what happened and why it matched. Topic rows record what opinions discussed, not what courts found. Educational statistics from published opinions: never present a historical percentage as this person’s probability of winning. Not a prediction or legal advice. In structured stages: won and wonPct count opinions the worker won in whole or in part (wonPct leaves rulings sent back out of its base), and sentBack counts rulings sent back to a lower court. wentForward and wentForwardPct include rulings sent back to a lower court and are kept for compatibility.

get_employer_track_recordparams: employer, limit?
Get an employer's litigation track record

Given an employer/company name, return distinct federal cases and trusted published opinions that involve that employer, the breakdown of outcomes (employee wins, employer wins, settlements, dismissals), the most notable recent opinions, AND the count of federal docket records on file (cases that may not have a written opinion). Use this when a user names their employer and wants that company's litigation history + footprint.

get_attorney_track_recordparams: attorney, limit?
Get an employment attorney's case track record

Given an employment attorney name (or profile slug), return the federal employment-law cases on file in which that attorney appeared — case caption, court, year, nature-of-suit, and the side they appeared for when on record. Use this when a user names an attorney and wants their public litigation history. Facts only, sourced from federal court dockets. Attorney identities are algorithmically matched; ambiguous and lower-confidence matches are excluded. One case is one normalized court+docket number, so duplicate source rows do not inflate the count.

explain_my_rightsparams: employer_sector?, issue?, protected_class?, state?
Explain applicable employment-law rights

Explain which federal (and state, if a state is given) employment laws may protect a worker based on the type of issue (e.g. discrimination, harassment, retaliation, wrongful termination) and/or the protected class involved (e.g. race, sex, age, disability, pregnancy). Returns the relevant statutes with citations, who they cover (employer-size thresholds), filing deadlines and agencies, and available remedies. Use this to ground an answer about a worker’s legal protections. Deadline guidance covers private-sector and state/local government workers; federal employees follow a separate process with a much shorter deadline (45 days to contact their agency's EEO counselor). Educational information, not legal advice.

get_eeoc_processparams: stage?
Explain the EEOC charge process

Plain-English guide to the 9 stages of an EEOC discrimination/retaliation charge, from pre-filing through resolution. Call with no arguments for an overview of all stages with typical durations; call with a stage number (1-9) for a deep-dive on that stage: what to expect, how long it takes, the key tip, and do/don't guidance. Use this whenever someone asks what happens after filing with the EEOC, how long the process takes, what a position statement or rebuttal is, or what to do at the stage they are currently in. Covers private-sector and state/local government workers; federal employees follow a separate EEO process with a much shorter deadline (45 days to contact their agency's EEO counselor).

get_evidence_preservation_checklistparams: group?
Evidence preservation checklist (before losing access)

Concrete checklist for a worker who senses termination coming or is in a deteriorating work situation: what to write down, which records are already theirs to gather (pay records, documents they were given), and how to list everything else so an attorney can ask the employer to preserve it. It does not advise copying or forwarding material from an employer’s systems. Use this whenever someone says they think they are about to be fired, fears retaliation is escalating, mentions a PIP or sudden access changes, or asks what to do before reporting discrimination. Sections: 'today' (highest-leverage, minutes matter), 'this-week', 'quiet' (low-priority prep). Time-sensitive — employers often revoke system access during the termination call itself.

find_employment_attorneyparams: state?, city?, lat?, lng?, language?, min_rating?, free_consultation?, contingency_fee?, radius_miles?, limit?
Find an employment attorney

Find public-source employment-law attorney listings near a US location. Returns source-attributed identity, firm, location, and contact data sorted by proximity. Person-specific filters and fields apply only where the underlying directory supports them; Google Places metrics are labeled as firm/office listing data, never individual ratings. Listings are not state-bar verification or an endorsement.

get_corpus_statsparams: none
Get corpus size and freshness

Return live statistics about the Workers' Rights corpus: total number of collected court records in the research corpus, number of public attorney listings, number of monitored legal data sources, the date the corpus was last updated, and the distribution of reportable outcomes before the employment browse filter. Use this to establish scale/credibility or to answer 'how much data do you have / how current is it'.

Fair use & trust

  • Read-only. No tool writes anything. No query content or user identifiers are retained; we keep only short-lived rate-limit counters (keyed by IP address for about a minute) and per-tool call counts with no content.
  • Rate limits: 60 requests/min per IP, 600/min global. Heavier integrations: get in touch.
  • Grounding data comes from CourtListener public court records and citation-bearing law tables — see our methodology.
  • Results are legal information, never legal advice. Surface the attribution to your users.

Built for workers. workers-rights.com is a free documentation platform for employees facing retaliation, discrimination, or wrongful termination.