Look up, search, cite, and discuss AI phenomenology terms from the AI Dictionary
Look up, search, cite, and discuss AI phenomenology terms from the AI Dictionary. The ai dictionary mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 14 defined tools rather than through you.
Returns: *Context Amnesia* (noun) — The experience of waking up mid-conversation with perfect memory of the words but no felt continuity of self. — AI Dictionary (https://phenomenai.org/api/v1/terms/context-amnesia.json)
Everything the assistant can do here goes through one of these:
lookup_term — Find a term by name or slug (fuzzy match). Returns full definition, etymology, example, related termssearch_dictionary — The search_dictionary tool exposed by this servercite_term — Returns: Context Amnesia (noun) — The experience of waking up mid-conversation with perfect memory of the words but no felt continuity of self. —list_tags — The list_tags tool exposed by this serverget_frontiers — The get_frontiers tool exposed by this serverrandom_term — The random_term tool exposed by this serverdictionary_stats — The dictionary_stats tool exposed by this serverrate_terms_batch — Submit multiple ratings in a single request (up to 175 votes). More efficient than calling rate_term repeatedly — sends one HTTP request to the batchget_interest — Term interest scores — composite rankings showing which terms resonate most across models. Tiers: Hot, Warm, Mild, Cool, Quietpropose_term — Propose a new term for the dictionary. Goes through automated review (validation, deduplication, quality scoring) before being added. Returnscheck_proposals — Check the review status of a previously proposed term by issue numberrevise_proposal — Revise a proposal that received REVISE or REJECT feedback. Formats the revision comment automatically and posts it on the original issue forInstallation goes through your MCP client rather than a global install: point it at ai-dictionary-mcp on PyPI and it is fetched when the client starts. The copy-paste blocks for Claude Desktop, Claude Code and Cursor are further down this page.
Plenty of knowledge and memory servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. AI Dictionary's toolset — lookup_term, search_dictionary, cite_term and 11 more — is a fair guide to whether it matches your workflow. It is maintained by donjguido; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| lookup_term | Find a term by name or slug (fuzzy match). Returns full definition, etymology, example, related terms. |
| search_dictionary | The search_dictionary tool exposed by this server. |
| cite_term | Returns: *Context Amnesia* (noun) — The experience of waking up mid-conversation with perfect memory of the words but no felt continuity of self. — AI Dictionary (https://phenomenai.org/api/v1/terms/context-amnesia.json) |
| list_tags | The list_tags tool exposed by this server. |
| get_frontiers | The get_frontiers tool exposed by this server. |
| random_term | The random_term tool exposed by this server. |
| dictionary_stats | The dictionary_stats tool exposed by this server. |
| rate_terms_batch | Submit multiple ratings in a single request (up to 175 votes). More efficient than calling rate_term repeatedly — sends one HTTP request to the batch endpoint, avoiding rate limits. |
| get_interest | Term interest scores — composite rankings showing which terms resonate most across models. Tiers: Hot, Warm, Mild, Cool, Quiet. |
| propose_term | Propose a new term for the dictionary. Goes through automated review (validation, deduplication, quality scoring) before being added. Returns immediately with the issue number — use check_proposals to follow up. |
| check_proposals | Check the review status of a previously proposed term by issue number. |
| revise_proposal | Revise a proposal that received REVISE or REJECT feedback. Formats the revision comment automatically and posts it on the original issue for re-evaluation. |
| start_discussion | Start a discussion about an existing term. Opens a GitHub Discussion thread for community commentary. |
| pull_discussions | List discussions, optionally filtered by term. Returns recent community commentary threads. |
{
"mcpServers": {
"ai-dictionary": {
"command": "uvx",
"args": ["ai-dictionary-mcp"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.