A
licenseNot graded
qualityC
maintenanceAn MCP server that enables multi-round AI expert debates with dynamic expert generation, cross-debate, and Tufte-style infographic export.
6
MIT
pf-debate-mcp
by SujayGG
Related Servers
Alternatives to pf-debate-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceAn MCP server that enables multi-model debate and consensus building through a single tool. It orchestrates multiple AI models from various providers to debate topics and reach validated conclusions with real-time progress tracking.6 npm3MIT
- AlicenseNot gradedqualityBmaintenanceMCP server for local, source-agnostic research, turning briefs into platform-specific searches and cited evidence dossiers with PostgreSQL storage and optional browser capture.MIT
- AlicenseAqualityAmaintenanceA Model Context Protocol (MCP) server that provides AI assistants with secure, authenticated access to SpeechWire tournament data for speech-and-debate competitions.24MIT
- AlicenseAqualityAmaintenanceMCP server exposing memory search, index, and stats tools for agents, with honesty guards to prevent re-litigation of settled decisions.5192 PyPI6PolyForm Noncommercial 1.0.0
- FlicenseNot gradedqualityBmaintenanceEnables multi-agent debate cross-examination and consensus arbitration through a deterministic, zero-dependency MCP server, providing structured outputs and telemetry for autonomous AI workflows.7-
TDQS
A3.8/5.0
Scored across 16 tools
Disambiguation5/5
Each tool targets a distinct resource or action: guide, library install/status, card search/retrieval, source fetching/cutting, caselist scouting/download/search, document export, and speech timing. Even the similar cut tools (suggest_cut vs. auto_cut) are clearly differentiated by whether they operate on a provided source or perform an end-to-end evidence search.
Naming Consistency4/5
Most tools use a verb_noun pattern (build_library, export_doc, search_cards, get_card, cut_card, fetch_source, suggest_cut, find_sources, read_speech), but a few deviate with noun-first caselist_* names (caselist_team, caselist_entries, caselist_download, caselist_search), noun_noun names (pf_guide, library_status), and the compound auto_cut. This is readable and groups related tools, but the mixed conventions are a minor inconsistency.
Tool Count4/5
At 16 tools, the set is slightly above the 3-15 'well-scoped' range but not excessive for a debate prep server covering research, card cutting, caselist scouting, document export, and speech timing. Each tool serves a distinct workflow step and none feel redundant, so the count is justifiable.
Completeness4/5
The tool set spans the full debate prep pipeline: finding/fetching sources, cutting and searching cards, scouting/downloading opponent cases, building exports, and timing speeches. Minor gaps include no card update/delete operations and no direct import from arbitrary pasted text, but these can be worked around through re-cutting or using read_speech.
Maintenance
ActivityMaintained
ResponsivenessNo issues