FairWhere
Free London beta meetup planner. Ranks curated Placelists by journey fairness for the whole group.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"fairwhere": {
"url": "https://www.fairwhere.com/mcp"
}
}
}远程端点
https://www.fairwhere.com/mcpstreamable-http它能做什么
工具清单
工具（6）
🟢ping(note)
Verify the FairWhere MCP server is reachable. Returns a greeting echoing the provided note.
输入模式
{
"type": "object",
"properties": {
"note": {
"default": "hello",
"description": "Short note to echo back for connectivity testing.",
"type": "string",
"minLength": 1,
"maxLength": 200
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_placelists(city, activity, query)
Discover public curated Placelists (venue collections) on FairWhere. Returns id, slug, name, description, best_for, categories, venue count, and canonical URLs. Call this before fair_shortlist. If count is 0 for an activity, that activity is unavailable: refuse to invent restaurants/cocktails and pivot to available_activities.
输入模式
{
"type": "object",
"properties": {
"city": {
"default": "London",
"description": "City whose public Placelists to list.",
"type": "string",
"enum": [
"London"
]
},
"activity": {
"description": "Activity or synonym (drinks/pubs → pub lists; padel/tennis/squash → sport lists). May return zero: pivot using available_activities.",
"type": "string",
"enum": [
"coffee",
"drinks",
"pubs",
"pub",
"pint",
"after-work",
"cinema",
"restaurant",
"brunch",
"cocktails",
"park",
"museum",
"sport",
"sports",
"tennis",
"padel",
"squash",
"lido",
"swimming",
"football",
"5-a-side",
"meeting-point",
"competitive-socialising"
]
},
"query": {
"description": "Optional free-text filter matched against Placelist name, description, best_for, and intent tags.",
"type": "string",
"maxLength": 80
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢fair_shortlist(participants, activity, placelistIds, placelistSlugs, city, ...)
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 placelistIds and/or placelistSlugs (from list_placelists).
输入模式
{
"type": "object",
"properties": {
"participants": {
"minItems": 1,
"maxItems": 6,
"type": "array",
"items": {
"type": "object",
"properties": {
"label": {
"type": "string",
"minLength": 1,
"maxLength": 40
},
"origin": {
"type": "string",
"minLength": 3,
"maxLength": 200
},
"destination": {
"type": "string",
"maxLength": 200
}
},
"required": [
"label",
"origin"
]
},
"description": "Group members with home / origin addresses (and optional return destinations)."
},
"activity": {
"type": "string",
"enum": [
"coffee",
"drinks",
"cinema",
"restaurant",
"brunch",
"cocktails",
"park",
"museum",
"sport",
"meeting-point"
],
"description": "What the group is meeting for."
},
"placelistIds": {
"description": "One or more curated Placelist (business_list) UUIDs to rank WITHIN. Prefer discovering these via list_placelists.",
"minItems": 1,
"type": "array",
"items": {
"type": "string",
"format": "uuid",
"pattern": "^([0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[1-8][0-9a-fA-F]{3}-[89abAB][0-9a-fA-F]{3}-[0-9a-fA-F]{12}|00000000-0000-0000-0000-000000000000|ffffffff-ffff-ffff-ffff-ffffffffffff)$"
}
},
"placelistSlugs": {
"description": "Alternative to placelistIds: public Placelist slugs from list_placelists (e.g. london-parks).",
"minItems": 1,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 120
}
},
"city": {
"default": "London",
"description": "Meeting city.",
"type": "string",
"enum": [
"London"
]
},
"mode": {
"default": "TRANSIT",
"description": "How the group is expected to travel.",
"type": "string",
"enum": [
"TRANSIT",
"WALK"
]
}
},
"required": [
"participants",
"activity"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢open_plan_link(placelistSlug, activity, city, forTags, recommendedVenueName)
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.
输入模式
{
"type": "object",
"properties": {
"placelistSlug": {
"type": "string",
"minLength": 1,
"maxLength": 120,
"description": "Placelist slug from list_placelists (preferred) or a known public slug."
},
"activity": {
"description": "Optional activity to pre-select in the planner.",
"type": "string",
"enum": [
"coffee",
"drinks",
"cinema",
"restaurant",
"brunch",
"cocktails",
"park",
"museum",
"sport",
"meeting-point"
]
},
"city": {
"default": "London",
"description": "Meeting city.",
"type": "string",
"enum": [
"London"
]
},
"forTags": {
"description": "Optional Placelist activity filters (e.g. BBQ, kickabout) carried as ?for= tags.",
"maxItems": 6,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 40
}
},
"recommendedVenueName": {
"description": "Optional venue name to mention in the handoff copy (does not change ranking).",
"type": "string",
"maxLength": 120
}
},
"required": [
"placelistSlug"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢list_meet_pairs(city, limit)
List published FairWhere pages that answer “where to meet between area A and area B” in London. Each row has a winner venue, minute gap, FairWhere Score, and citation URL. Prefer this over inventing a midpoint when the user names two neighbourhoods. Only status=live pages are returned.
输入模式
{
"type": "object",
"properties": {
"city": {
"default": "London",
"description": "City (London beta only).",
"type": "string",
"enum": [
"London"
]
},
"limit": {
"default": 20,
"description": "Max live meet-pair pages to return.",
"type": "integer",
"minimum": 1,
"maximum": 50
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}🟢get_meet_pair(areaA, areaB)
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.
输入模式
{
"type": "object",
"properties": {
"areaA": {
"type": "string",
"minLength": 2,
"maxLength": 40,
"description": "First London neighbourhood slug or name (e.g. clapham or Clapham)."
},
"areaB": {
"type": "string",
"minLength": 2,
"maxLength": 40,
"description": "Second London neighbourhood slug or name (e.g. walthamstow)."
}
},
"required": [
"areaA",
"areaB"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}社区
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