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Related Servers

Alternatives to Escalate Anything

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    Related Servers

    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI-powered consumer dispute resolution by providing tools for secure evidence storage with confidence scoring, autonomous negotiation, formal dispute notice generation, and consumer rights verification under the Consumer Protection Act.
      Apache 2.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables users to manage consumer complaints through a four-stage escalation ladder, drafting letters, tracking reply-window deadlines, and pausing or resuming cases. Exposes MCP tools for starting cases, logging responses, checking next steps, drafting escalations, simulating days for demos, and reopening stopped cases.
      1
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables an AI assistant to track credit-report disputes with consumer reporting agencies and furnishers, compute statutory response deadlines, and draft dispute letters into local text files. All records stay in a folder on the user's own computer, with approval required before any dispute is deleted.
      9
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      A stateful, voice-first server that gives an assistant a deterministic playbook for the first hour after a scam: it triages what happened, dispenses one action at a time, tracks a 60-minute countdown, records evidence such as amount and transaction IDs, and generates call scripts for banks and fraud helplines. Jurisdiction-aware playbooks and incident state keyed by incident_id let any instance serve any call with no model in the tool path.
      MIT
    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents to investigate synthetic fraud cases by pulling transactions, running deterministic rules evaluations, pivoting across devices, and recording auditable case files with provenance.
      4
      MIT

    TDQS

    B3.1/5.0

    Scored across 19 tools

    Disambiguation4/5

    Most tools have clearly distinct purposes: registry lookup (find_company/get_company), reference knowledge (get_playbook/get_rules/get_escalation/get_context), case lifecycle (case_*), and billing (bill_*). The one real overlap is get_playbook, which already bundles the escalation ladder and channels that get_escalation returns separately, and the playbook/rules split (issue-scoped vs full text) requires reading descriptions carefully. find_company vs get_company is disambiguated well by their descriptions.

    Naming Consistency3/5

    All names are snake_case, but the verb position flips between verb-first (find_company, get_rules, list_issues) and noun-first namespacing (case_open, case_list, bill_check, followups_due, scam_check). The domain prefixes are systematic and readable, yet direct inconsistencies exist, e.g. list_issues vs case_list for the same list verb, and case_get vs get_company for the same get verb.

    Tool Count4/5

    Nineteen tools is on the heavy side of the ideal 3-15 band, but each group (discovery, playbook/rules knowledge, case tracking, bills, scam screening, data-quality feedback) maps to a real step in an escalation workflow. No tool looks like filler, though the knowledge-lookup cluster could be consolidated.

    Completeness4/5

    Coverage is broad and lifecycle-complete for the core loop: find a company, get a playbook, open/log/list/close a case, check follow-ups, draft the next message, and record bills. Gaps are minor but real: no way to edit or delete a case log entry, no bill listing/lookup by case, and find_regulators returns a list with no companion tool to fetch a single regulator's detail.

    Maintenance

    ActivityMaintained
    ResponsivenessLimited data