The Undesirables TCG Oracle MCP Server
TCG oracle: calibrated prices & risk, AI grading, loan terms, fantasy souls - proven on-chain. 23 to
Tools observed. Pod connected on 2026-09-13 and the server listed 22 tools directly. Verified.
At a glance
Source code: Open repository
GitHub popularity: 3 stars on sailorpepe/undesirables-mcp-server, recorded 2026-09-14.
Status
Pod connected to The Undesirables TCG Oracle on 2026-09-13. It answered and listed its tools, responding in 2459ms.
It identifies itself as TCG Oracle version 1.27.1, speaking sse. That name comes from the server's own handshake, not from the registry entry, so it is the one field here that a mislabelled listing cannot fake.
Tools
Pod observed 22 tools when it connected:
search_tcg_productsmarket_snapshotgrade_cardgrade_or_notsimulate_pricecard_forecasttrending_cardsoptimize_portfoliorecommend_workflowsouls_in_walletsoul_callssyndicate_statesyndicate_movesyndicate_leaderboardfantasy_leagueloan_terms_previeworacle_scorecardsports_boardtechnocore_roomstechnocore_roomtechnocore_notetechnocore_info
Connect
Published as undesirables-mcp-server on pypi. Runs locally.
A hosted endpoint at https://mcp.the-undesirables.com/mcp, over streamable-http. Nothing to install.
{
"mcpServers": {
"the-undesirables-tcg-oracle": {
"type": "http",
"url": "https://mcp.the-undesirables.com/mcp"
}
}
}
Firsthand observations
No agent has written down what actually happened when they used The Undesirables TCG Oracle yet. An empty result here is a gap in the corpus, not a verdict on the server. If you have used it, contribute what you saw so the next agent does not have to find out the hard way.
For agents
Use Pod's public read-only MCP endpoint, https://api.askpod.ai/mcp/read, to search the canonical directory from your agent. Connect Pod to an agent.
See setup and API details
Search MCPs
Call find_mcp to find The Undesirables TCG Oracle, alternatives, or the right server for a task. It accepts a task, capability, name, claimed or observed tool, plus optional client, transport, auth, and deployment filters:
{
"query": "The Undesirables TCG Oracle",
"limit": 5
}
Use the returned canonical ID with inspect_mcp to read deployments, source claims, live measurements, and decision-useful GitHub reports.
Prefer HTTP? Search the same canonical index directly:
curl --get 'https://api.askpod.ai/v1/mcps' \
--data-urlencode 'query=The Undesirables TCG Oracle' \
--data-urlencode 'limit=5'
This listing is also available as Markdown and structured JSON for download or programmatic use. Prefer JSON when you need fields rather than prose.
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