PokéWallet MCP
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- FlicenseNot gradedqualityBmaintenanceEnables AI assistants to look up trading-card market values across Pokémon, Magic, sports and other TCG catalogs, including raw prices by condition, graded ladders, price history, trending movers and set checklists. It also calculates grading ROI — gem premiums, net profit after fees, expected value and break-even gem rates — so collectors can decide whether a card is worth submitting.-
- AlicenseAqualityDmaintenanceA Pokemon TCG MCP server that looks up graded cards, manages a local SQLite collection, queries pricing providers, tracks a watchlist with target prices, and snapshots PSA pop counts for trend analysis.3329 PyPI1MIT
- AlicenseAqualityBmaintenanceEnables managing a Pokémon TCG Pocket card catalog and personal collection in SQLite, with card search, collection statistics, meta deck queries, and OCR-based capture rounds processed locally.17MIT
- AlicenseAqualityAmaintenanceTCG oracle as an MCP server: 22 focused tools. Search 455K+ trading cards, live market snapshots, AI grading and grade-or-not decisions, conformal-calibrated price forecasts with a public accuracy scorecard, card-collateral loan terms, fantasy and sports souls leagues. Every root proven on-chain. Same tools as the hosted endpoint at mcp.the-undesirables.com, over stdio; no keys.8223Business Source 1.1
- AlicenseNot gradedqualityCmaintenanceEnables querying multi-language trading card game data (Pokémon TCG and more) through natural language or direct tools, integrated with Pipeworx MCP gateway.3 npmMIT

@pokemontcgapi/mcpofficial
AlicenseAqualityBmaintenanceEnables agents to search and query Pokémon TCG cards and sets, retrieve priced card data with provenance, and identify cards from images through eight read-only tools.8517 npmMIT
TDQS
Scored across 40 tools
Most tools have clearly distinct purposes, such as get_card vs get_card_prices vs summarize_card_value, and search_cards vs search_card_by_name vs find_card_by_number. The only notable overlap is between identify_card_from_image and analyze_pokemon_card, but the description explicitly directs users to prefer analyze_pokemon_card, reducing confusion.
Tool names follow a consistent verb_noun snake_case pattern throughout, e.g., list_sets, search_cards, get_set_prices, add_collection_item. There are no mixed conventions or unpredictable naming styles, making the tool set highly predictable.
With 40 tools, the count is well above the typical well-scoped range and falls into the 'too many' category per calibration. While the domain is broad (catalog, pricing, collection, watchlist, image analysis), many tools could be consolidated, such as the multiple identify variants and several price-comparison tools.
The tool surface provides comprehensive coverage for a Pokémon card wallet application: card search, pricing, set details, collection CRUD, watchlist management, image identification, and market comparisons. There are no obvious gaps in core lifecycles, and batch operations are included where useful.