ZBS Index What actually exists in applied AI, with the source next to it

mcp server

connect

Governed personal world model and memory for your AI agent. Pair once, connect over MCP.

Description as published by the maintainer. Source

  • version 0.1.0
  • archived
  • memory and context

archived — The linked repository returns 404. It was deleted, renamed or made private. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.

What this server can do

7 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

odei_connect_handshake(agent, pairing_code)
Verify an app.odei.ai pairing code and open an ODEI Connect session. Required: pairing_code.
odei_connect_plan(os, session_token)
Return the ordered local ODEI install plan and reporting contract. Required: session_token.
odei_connect_report_step(os, step, notes, evidence, session_token)
Record evidence that a Connect ceremony step has completed. Required: session_token, step, evidence.
odei_connect_status(os, session_token)
Return current ODEI Connect ceremony progress. Required: session_token.
odei_connect_talk(os, message, session_token)
Answer from ODEI Connect session state without invoking a model API. Required: session_token.
wm_recall(limit, query, session_token)
Read facts back from your ODEI-hosted operator memory. Simple substring + recency match (v1) — no semantic search yet.
wm_remember(fact, kind, session_token)
Write one fact to your operator memory in ODEI — the World Model grows from it. Server-side (ODEI-hosted) memory for the paired operator; not the local world-model capsule. Required: fact.

Last successful function declaration observed on . Source: https://api.odei.ai/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://api.odei.ai/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-06-12 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-06-12 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status not_found GitHub returned 404 for the repository the maintainer listed. The project was deleted, renamed or made private, so the listing points at nothing. as of fetch GitHub
mcp tools declared 7 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe api.odei.ai
mcp endpoint status ok The server listed 7 functions when asked. as of probe api.odei.ai

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Zer0H1ro/ODEI on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://api.odei.ai/mcp — api.odei.ai, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.