charactercheck-mcp
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Alternatives to charactercheck-mcp
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- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to manage D&D Beyond characters, access campaigns, and look up spells, monsters, items, and more through a reverse-engineered API.MIT
- AlicenseNot gradedqualityCmaintenanceEnables MCP-compatible clients to read D&D Beyond characters, campaigns, and game reference data, with optional opt-in tools for session tracking and character building.MIT
- AlicenseAqualityBmaintenanceEnables D&D Beyond integrations through MCP by reading character sheets, monster statblocks, and campaign rosters, plus streaming live game-log dice rolls with optional write tools for HP and conditions.10MIT
- AlicenseAqualityAmaintenanceA Model Context Protocol server that gives Claude direct access to your D\&D Beyond account for characters, campaigns, sourcebooks, spells, monsters, rules, encounters, and treasure.3511 npm1MIT
- FlicenseAqualityAmaintenanceEnables D&D 5e game masters and players to access complete game reference data, search spells, monsters, items, and calculate encounter difficulty, all through natural language.466-

archivistofficial
AlicenseNot gradedqualityBmaintenanceProvides read-only SRD lookup and deterministic enrichment tools for D&D 5e content generation, including search, entity retrieval, and generation of monsters, spells, items, NPCs, and encounters.MIT
TDQS
Scored across 11 tools
Several tools (derive, report, stance, seatpack, intake) all produce some form of character assessment, but their descriptions specify distinct focuses (deterministic values, trust reports, pre-combat context, privacy-minimized context, pre-session prep). qa and quiz both involve questions but differ in coverage inventory vs. finding prompts. With detailed descriptions an agent can likely disambiguate, but the boundaries are not immediately obvious.
Tool names are all lowercase single words, but mix verbs (derive, diff), nouns (stance, report), and cryptic compounds (seatpack, selftest) without a consistent verb_noun pattern. This makes it hard to predict what a tool does from its name. There is no discoverable naming scheme.
At 11 tools, the count is within the reasonable 3-15 band, but includes two maintenance/diagnostic tools (selftest, doctor) that seem tangential to the core character-checking purpose. Slightly heavy, but each character-focused tool earns its place.
For a read-only character validation domain, the set covers observation (snapshot), comparison (diff), assessment (derive, report), context (stance, seatpack, quiz, intake), and self-testing (selftest, doctor). Minor gaps: no batch processing or field-level catalog, but core workflows are complete.