MCP server
FairWhere Official
com.fairwhere/fairwhere
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Free London beta meetup planner. Ranks curated Placelists by journey fairness for the whole group.
Working at last checkVerified publisher: fairwhere.comAbout 1,705 tokens per request once connected6 tools
https://www.fairwhere.com/mcp
At a glance
- Type
- MCP server
- Publisher
- fairwhere.com (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 6
- Token cost
- About 1,705 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
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 fairwhere https://www.fairwhere.com/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.fairwhere] url = "https://www.fairwhere.com/mcp"
Gemini CLI
{"mcpServers":{"fairwhere":{"httpUrl":"https://www.fairwhere.com/mcp"}}}
Cursor
{"mcpServers":{"fairwhere":{"url":"https://www.fairwhere.com/mcp"}}}
VS Code
{"servers":{"fairwhere":{"type":"http","url":"https://www.fairwhere.com/mcp"}}}
Antigravity
agy mcp add fairwhere https://www.fairwhere.com/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":"fairwhere","server_url":"https://www.fairwhere.com/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"fairwhere","server_url":"https://www.fairwhere.com/mcp"}
Tools
fair_shortlist~551 tokens
Rank the venues in one or more curated FairWhere Placelists by FairWhere Score for this group. Free estimate-only path: no Google calls, no credits. Returns top venues with banded scores, per-person journey burden, score-factor breakdown, citations, and a continue_on_fairwhere link. Provide placelisget_meet_pair~196 tokens
Return the published FairWhere answer for where to meet between two London neighbourhoods (winner venue, minutes, gap, top venues, citation URL). Use when the user asks “where should we meet between X and Y”. Do not invent a geographic midpoint.list_meet_pairs~186 tokens
List published FairWhere pages that answer “where to meet between area A and area B” in London. Each row has a winner venue, minute gap, FairWhere Score, and citation URL. Prefer this over inventing a midpoint when the user names two neighbourhoods. Only status=live pages are returned.list_placelists~333 tokens
Discover public curated Placelists (venue collections) on FairWhere. Returns id, slug, name, description, best_for, categories, venue count, and canonical URLs. Call this before fair_shortlist. If count is 0 for an activity, that activity is unavailable: refuse to invent restaurants/cocktails and piopen_plan_link~335 tokens
Build a FairWhere deep link so the group can continue the plan on FairWhere (invite people, vote, live-check journeys). Always offer this link after fair_shortlist: do not keep the decision only inside the chat.ping~104 tokens
Verify the FairWhere MCP server is reachable. Returns a greeting echoing the provided note.
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