MCP server

oddly

com.myoddly/oddly-corpus

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

The world, on the record. AI infrastructure built on the observed web.

Website

At a glance

Type

MCP server

Publisher

myoddly.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 1,261 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http oddly-corpus https://myoddly.com/api/public/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.oddly-corpus]
url = "https://myoddly.com/api/public/mcp"

Gemini CLI

{"mcpServers":{"oddly-corpus":{"httpUrl":"https://myoddly.com/api/public/mcp"}}}

Cursor

{"mcpServers":{"oddly-corpus":{"url":"https://myoddly.com/api/public/mcp"}}}

VS Code

{"servers":{"oddly-corpus":{"type":"http","url":"https://myoddly.com/api/public/mcp"}}}

Antigravity

agy mcp add oddly-corpus https://myoddly.com/api/public/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"oddly-corpus","server_url":"https://myoddly.com/api/public/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"oddly-corpus","server_url":"https://myoddly.com/api/public/mcp"}

Tools

• benchmark_categories ~101 tokens
  List the product categories the oddly corpus currently covers, with how many observations and metrics back each one. Call this FIRST to discover valid category paths before calling benchmark_lookup, rather than guessing a path.
• benchmark_lookup ~295 tokens
  Observed price and assortment benchmarks for a product category: the median and the p25-p75 band across real public storefront listings, with the sample size, the currency, and the exact scope of each figure. Figures are observed market reference, not targets or advice. Returns an honest empty answe
• record_answer ~254 tokens
  Answer one question from oddly's record: the newest observed value of one attribute of one subject, with its figure, both clocks, its source, its receipt and its scope. The figure is what the source published when oddly looked, not an estimate, a forecast or advice. Rate: meter data.answer, US$0.001
• record_subject_history ~227 tokens
  One subject's change history and current state from oddly's record, with both clocks on every row: observed_at (when the source says it was true) and fetched_at (when oddly looked), and the receipt hash of each row so any value can be checked with record_verify_receipt. Rate: meter data.history, US$
• record_verify_receipt ~206 tokens
  Recompute and check one receipt end to end: the row's receipt hash recomputed from its own sealed document, the link to the row before it, the day root its day folds into, and that root's anchor state (confirmed with a block height, or pending). Every check is named in the verdict, and a check that
• store_audit ~178 tokens
  Run oddly's free storefront audit against a public ecommerce domain and return the findings: detected platform, the checks that failed, and how the store's catalogue compares to observed category norms where the corpus can say. Reads the store's own public pages only, obeys robots.txt, and is rate l

Browse

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