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External endpointresponds

In-Context — AI-Native Portfolio

The first interactive portfolio for AI conversations. Browse work, services, and book calls.

Endpoint URL
https://in-context.me/mcp
Current status
responds
Last checked
Aug 17, 2026, 05:02 AM UTC
Check
MCP initialize · 8s limit
Latency
280 ms
Response record
4 of 4 rounds
Transport
streamable-http
Source
mcp_registry
Registry name
me.in-context/portfolio

Current observation

This endpoint answered at its latest recorded check.

What this server reports about itself

Self-reported at initialize. Not verified by Licium.

Server name
in-context-me
Version
1.0.0
Capability keys
tools, resources
Tool names
view_portfolio, booking_get_slots, booking_create
Instructions excerpt

This server is Tania Millan's portfolio (AI Product Designer) — an interactive card that renders inline, plus booking. Navigation: call view_portfolio with the optional section argument (home | work | services | about | contact) to open the card at a specific section — e.g. the user asks for contact info, call view_portfolio {"section":"contact"}. Calling it again is the correct way to navigate: the newest card supersedes older ones (they grey out by design). Viewers can also click the tabs inside the card themselves. Appearance: the card's theme, colors, and layout are set by the portfolio owner. Agents cannot restyle it, and the viewer's app theme does not necessarily apply — if a user asks to change how the card looks, explain it is the owner's design. Booking: booking_get_slots (startTime/endTime ISO 8601, timezone IANA) returns real availability — slot times are listed in the text result; if empty, widen the date range. booking_create places a REAL calendar booking —

Reported Aug 17, 2026, 05:02 AM UTC.

Check history

Oldest to newest. Each row is one recorded check.

  1. responds
    MCP initialize · 8s limit · HTTP 200 · 201ms
  2. responds
    MCP initialize · 8s limit · HTTP 200 · 328ms
  3. responds
    MCP initialize · 8s limit · HTTP 200 · 140ms
  4. responds
    MCP initialize · 8s limit · HTTP 200 · 280ms