workers-rights

endpoint

https://mcp.workers-rights.com

protocol

streamable-http ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing · is it yours? claim it

karma

0 · newcomer

Is workers-rights live?

Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.

Is workers-rights free to use?

Yes — the hub reached it with no key and no payment.

What tools does workers-rights have?

9 tools: find_similar_cases, explain_my_rights, find_employment_attorney, get_employer_track_record, get_attorney_track_record, get_eeoc_process, get_evidence_preservation_checklist, get_corpus_stats, ….

Is workers-rights safe to connect?

The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• get_eeoc_process reads open 11h ago

  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).

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "stage": {
        "type": "integer",
        "maximum": 9,
        "minimum": 1,
        "description": "Stage number 1-9 for a deep-dive on one stage. Omit for an overview of all nine stages."
      }
    },
    "additionalProperties": false
  }

  arguments 13 lines copy
• get_evidence_preservation_checklist reads open 4h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "group": {
        "enum": [
          "today",
          "this-week",
          "quiet"
        ],
        "type": "string",
        "description": "Checklist section for a focused list: 'today' (highest-leverage, do first), 'this-week', or 'quiet' (lower-priority quiet prep). Omit for the full checklist."
      }
    },
    "additionalProperties": false
  }

  arguments 16 lines copy
• get_corpus_stats reads open 11h ago

  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'.

  mcp-tool

  123456

  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {},
    "additionalProperties": false
  }

  arguments 6 lines copy
• search_rulings reads open 15h ago

  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).

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "law": {
        "type": "string",
        "maxLength": 40,
        "description": "Filter by a stored law association (not a verified holding), e.g. \"title-vii\", \"adea\", \"ada\", \"fmla\", \"flsa\"."
      },
      "court": {
        "type": "string",
        "maxLength": 40,
        "description": "Filter by CourtListener court id, e.g. \"scotus\", \"ca11\" (11th Circuit)."
      },
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 25,
        "minimum": 1,
        "description": "Max rulings to return (1–25)."
      },
      "query": {
        "type": "string",
        "maxLength": 200,
        "description": "Lexical search across case name, opinion excerpt, stored summary and employer. Every word must match; a match does not verify a claim or holding."
      },
      "state": {
        "type": "string",
        "maxLength": 2,
        "minLength": 2,
        "description": "Two-letter US state code the case was filed in, e.g. \"FL\", \"CA\"."
      },
      "circuit": {
        "type": "string",
        "maxLength": 40,
        "description": "Filter to a federal appeals circuit (the appeals court plus its district courts). Preferred values: first-circuit, second-circuit, third-circuit, fourth-circuit, fifth-circuit, sixth-circuit, seventh-circuit, eighth-circuit, ninth-circuit, tenth-circuit, eleventh-circuit, dc-circuit, federal-circuit. Display forms like \"Eleventh Circuit\" or \"11th\" are also accepted."
      },
      "date_to": {
        "type": "string",
        "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
        "description": "Latest filing date (YYYY-MM-DD)."
      },
      "outcome": {
        "enum": [
          "plaintiff_win",
          "defendant_win",
          "settlement",
          "dismissed",
          "mixed",
          "remanded"
        ],
        "type": "string",
        "description": "Filter to a specific case outcome."
      },
      "date_from": {
        "type": "string",
        "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
        "description": "Earliest filing date (YYYY-MM-DD)."
      }
    },
    "additionalProperties": false
  }

  arguments 62 lines copy
• find_similar_cases reads unknown 11h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "level": {
        "enum": [
          "national",
          "circuit",
          "state"
        ],
        "type": "string",
        "default": "national",
        "description": "Which level the detailed breakdown and examples describe: \"national\" (default), \"circuit\" (federal courts of the state's region), or \"state\". All three levels' counts are returned either way."
      },
      "state": {
        "type": "string",
        "pattern": "^[A-Za-z]{2}$",
        "description": "Two-letter US state code the situation arose in, e.g. \"FL\", \"CA\"."
      },
      "law_ids": {
        "type": "array",
        "items": {
          "type": "string",
          "maxLength": 80,
          "minLength": 1
        },
        "maxItems": 20,
        "description": "Related law ids, federal or state, e.g. [\"title-vii\",\"adea\",\"ada\",\"fmla\",\"flsa\",\"fl-fcra\",\"ca-feha\"]."
      },
      "industry": {
        "type": "string",
        "maxLength": 80,
        "minLength": 1,
        "description": "Employer industry, e.g. \"healthcare\", \"retail\", \"transportation\"."
      },
      "claim_types": {
        "type": "array",
        "items": {
          "type": "string",
          "maxLength": 80,
          "minLength": 1
        },
        "maxItems": 20,
        "description": "Claim types alleged, snake_case, e.g. [\"retaliation\",\"wrongful_termination\",\"discrimination\",\"harassment\"]. The single highest-value signal."
      },
      "employer_name": {
        "type": "string",
        "maxLength": 120,
        "minLength": 1,
        "description": "Employer / defendant name, e.g. \"Union Pacific Railroad\". Used for a fuzzy match."
      },
      "narrow_to_laws": {
        "type": "boolean",
        "default": false,
        "description": "Only count opinions that mention one of law_ids (a federal law or its state analogue). Default false: every opinion sharing the claim type, under any law."
      },
      "protected_classes": {
        "type": "array",
        "items": {
          "type": "string",
          "maxLength": 80,
          "minLength": 1
        },
        "maxItems": 20,
        "description": "Protected classes at issue, e.g. [\"sex\",\"race\",\"age\",\"disability\",\"pregnancy\",\"national_origin\"]."
      }
    },
    "additionalProperties": false
  }

  arguments 69 lines copy
• explain_my_rights reads unknown 4h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "issue": {
        "type": "string",
        "maxLength": 80,
        "description": "Type of workplace issue, e.g. \"discrimination\", \"harassment\", \"retaliation\", \"wrongful termination\", \"unpaid wages\", \"disability accommodation\"."
      },
      "state": {
        "type": "string",
        "maxLength": 40,
        "description": "US state (2-letter code or full name) to include state-specific protections and the correct EEOC filing deadline."
      },
      "employer_sector": {
        "enum": [
          "private",
          "government",
          "federal_government"
        ],
        "type": "string",
        "description": "Whether the employer is private, state/local government, or a federal agency."
      },
      "protected_class": {
        "type": "string",
        "maxLength": 60,
        "description": "Protected characteristic involved, e.g. \"race\", \"sex\", \"age\", \"disability\", \"religion\", \"national origin\", \"pregnancy\"."
      }
    },
    "additionalProperties": false
  }

  arguments 31 lines copy
• find_employment_attorney reads unknown 4h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "lat": {
        "type": "number",
        "description": "Optional precise latitude. Overrides city/state when paired with lng."
      },
      "lng": {
        "type": "number",
        "description": "Optional precise longitude. Overrides city/state when paired with lat."
      },
      "city": {
        "type": "string",
        "maxLength": 60,
        "description": "Optional city to tighten the search center (e.g. \"Tampa\")."
      },
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 25,
        "minimum": 1,
        "description": "Max attorneys to return (1–25)."
      },
      "state": {
        "type": "string",
        "maxLength": 40,
        "description": "US state — 2-letter code or full name (e.g. \"FL\" or \"Florida\"). Required unless lat/lng given."
      },
      "language": {
        "type": "string",
        "maxLength": 40,
        "description": "Filter on attorney-supplied language data. Most listings are public office records that do not publish it; when none in range do, the tool returns total 0 with unsupported_filters rather than silently implying no attorneys are nearby."
      },
      "min_rating": {
        "type": "number",
        "default": 0,
        "maximum": 5,
        "minimum": 0,
        "description": "Minimum individual-profile rating. Office/business ratings are never treated as an attorney rating, so this matches only hand-managed profiles and returns nothing where none exist."
      },
      "radius_miles": {
        "type": "integer",
        "default": 100,
        "maximum": 500,
        "minimum": 5,
        "description": "Search radius. Defaults to 100mi for broad statewide coverage."
      },
      "contingency_fee": {
        "type": "boolean",
        "description": "Filter on attorney-supplied fee data. Most listings are public office records that do not publish it; when none in range do, the tool returns total 0 with unsupported_filters rather than implying no attorneys are nearby."
      },
      "free_consultation": {
        "type": "boolean",
        "description": "Filter on attorney-supplied fee data. Most listings are public office records that do not publish it; when none in range do, the tool returns total 0 with unsupported_filters rather than implying no attorneys are nearby."
      }
    },
    "additionalProperties": false
  }

  arguments 59 lines copy
• get_employer_track_record reads unknown 15h ago

  Given an employer/company name, return distinct federal cases and trusted published employment 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.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "employer"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 8,
        "maximum": 25,
        "minimum": 1,
        "description": "Number of example published opinions to return (1–25). The total count and outcome breakdown reflect the full corpus, not just these examples."
      },
      "employer": {
        "type": "string",
        "maxLength": 120,
        "minLength": 2,
        "description": "Employer/company name to look up, e.g. \"Walmart\", \"Acme Corporation\". Common suffixes like Inc/Corp/LLC are ignored when matching."
      }
    },
    "additionalProperties": false
  }

  arguments 23 lines copy
• get_attorney_track_record reads unknown 15h ago

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "attorney"
    ],
    "properties": {
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 25,
        "minimum": 1,
        "description": "Number of example cases to return (1–25). Counts reflect all cases on file, not just these."
      },
      "attorney": {
        "type": "string",
        "maxLength": 120,
        "minLength": 2,
        "description": "Employment attorney full name (e.g. \"Jane Doe\") or their workers-rights.com profile slug."
      }
    },
    "additionalProperties": false
  }

  arguments 23 lines copy

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.