Liliphant

com.liliphant.mcp由 mcp.liliphant.com 发布官方发布者v1.0.0更新于 Oct 31, 2026

Liliphant turns every meeting into connected knowledge, decisions, and actionable insights.

已验证Streamable HTTP可网页运行知识与记忆开发者工具沟通与协作

概览

AI 生成的概览

Liliphant 的远程 MCP 服务器让助手读取公司已分析的会议,并依据人们实际说过的话回答问题。

可以做什么
  • 识别当前登录用户及其可进入的公司
  • 按最新优先列出并筛选已分析的会议
  • 用自然语言提问,从会议内容作答,并附上引用和可选图表
  • 搜索和浏览 Liliphant API 文档与快速入门
  • 调用任意 Liliphant API 端点,可只读,也可发起创建、修改和删除请求
适用场景
适合让助手回忆公司会议中说过、决定或承诺过的内容,或通过已登录账号处理 Liliphant 数据与 API 端点。
运行要求
远程 Streamable HTTP 端点,无需安装。需在 MCP 客户端中通过浏览器登录一次 Liliphant;多数调用需要从登录用户的公司列表中取得公司 id。
安装前请注意
服务器以你登录的 Liliphant 账号身份操作,可向任意 Liliphant API 端点发送 POST、PUT、PATCH 和 DELETE 请求,因此数据可能被创建、修改或删除。会议内容和提问会发送到 Liliphant 服务。请留意客户端自动批准了哪些工具。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Liliphant,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/com.liliphant.mcp%2Fmcp/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "liliphant": {
      "type": "http",
      "url": "https://mcp.liliphant.com/mcp"
    }
  }
}

README

[Liliphant]

Liliphant MCP

Liliphant joins your company's calls, transcribes them and pulls out decisions, promises, open questions and risks, each linked to the words someone said. This MCP server lets AI assistants read your meetings and answer questions from what people actually said.

It is a remote MCP server (Streamable HTTP) at https://mcp.liliphant.com/mcp. Nothing to install: your AI tool connects to it, and you sign in to Liliphant once in the browser.

Tools

ToolWhat it does
get_meWho is signed in and the companies they can open
list_meetingsYour meetings, newest first; filter by text, type, person, tag or date
ask_a_questionAnswers from your meetings, with quotes
search_liliphant_docs, get_liliphant_api_docs, quickstart-liliphantLiliphant docs and API reference
call_any_read_api_of_liliphant, call_any_api_of_liliphantAny other Liliphant API endpoint (read, or create/change/delete)

Connect from Cline

Install it from the Cline MCP Marketplace, or open MCP Servers → Configure MCP Servers and add this to cline_mcp_settings.json:

json
{  "mcpServers": {    "liliphant": {      "type": "streamableHttp",      "url": "https://mcp.liliphant.com/mcp",      "disabled": false,      "autoApprove": []    }  }}

Then use the sign-in button next to liliphant in the MCP Servers list and sign in to Liliphant in the browser. Agent-driven install steps are in llms-install.md.

Connect from Claude Code

bash
claude mcp add --transport http liliphant https://mcp.liliphant.com/mcp

then run /mcp and sign in.

MCP Registry

server.json is the listing for the official MCP Registry, as com.liliphant.mcp/mcp. The com.liliphant.mcp name is proven by owning the mcp.liliphant.com domain.

One-time setup: create a signing key and publish its public half on liliphant.com (Git Bash or any shell with OpenSSL):

bash
openssl genpkey -algorithm Ed25519 -out mcp-registry-key.pemecho "v=MCPv1; k=ed25519; p=$(openssl pkey -in mcp-registry-key.pem -pubout -outform DER | tail -c 32 | base64)"

Add the printed line as a TXT record on liliphant.com. Keep mcp-registry-key.pem private and out of this repo.

Publish (bump version first for any later change):

bash
mcp-publisher login dns --domain mcp.liliphant.com --private-key "$(openssl pkey -in mcp-registry-key.pem -noout -text | grep -A3 'priv:' | tail -n +2 | tr -d ' :\n')"mcp-publisher publish

Links

来源:README.md,提交 4782eeb

工具

8

search_liliphant_docs

Search Liliphant API docs

Search the Liliphant API documentation with a natural-language question. Returns the most relevant passages with their page URLs.

输入参数query必填

get_liliphant_api_docs

Get Liliphant API docs

Browse the Liliphant API API docs, one level at a time. Call it without arguments to get the top level: the modules and pages with a short description and the endpoints they hold. Call it with `path` set to a module's or page's link (or path) to get what is inside it; each listing links the next level. Call it with `path` set to an endpoint's link ending in ".openapi.yml" to get that endpoint as an OpenAPI file: method, url, headers, query params, path variables, a request body example and sample responses. Fetch only the level you need.

输入参数path

call_any_read_api_of_liliphant

Read from Liliphant API

Read from any Liliphant API API endpoint with a GET request for the user and return its response. Use it once you know the exact endpoint: look it up with get_liliphant_api_docs first to get its URL, headers, query params and body, unless the skill or a dedicated tool on this server already gives them exactly. Load the quickstart-liliphant skill first: it explains which tool to use when. For POST, PUT, PATCH and DELETE use call_any_api_of_liliphant. Pass the full url with path variables filled in, the headers the docs list, and query params in `query` (not in the url). For the auth header the docs name (Authorization, proxy_auth_token, x-api-key, ...), pass it with an empty value "": the signed-in user's token is filled in automatically. Never put a real or made-up token there; if the docs name no auth header, leave it out and the token is sent as Authorization. If the API needs the user to sign in, they're asked the first time. Returns { status, ok, headers, data }: the HTTP status and the response body, including error details on failure.

输入参数url必填queryheaders必填

call_any_api_of_liliphant

Write to Liliphant API

Send a POST, PUT, PATCH or DELETE request to any Liliphant API API endpoint for the user and return its response. Use it once you know the exact endpoint: look it up with get_liliphant_api_docs first to get its URL, headers, query params and body, unless the skill or a dedicated tool on this server already gives them exactly. Load the quickstart-liliphant skill first: it explains which tool to use when. For GET requests use call_any_read_api_of_liliphant. Pass the full url with path variables filled in, the headers the docs list, query params in `query` (not in the url) and the JSON body in `body`. For the auth header the docs name (Authorization, proxy_auth_token, x-api-key, ...), pass it with an empty value "": the signed-in user's token is filled in automatically. Never put a real or made-up token there; if the docs name no auth header, leave it out and the token is sent as Authorization. If the API needs the user to sign in, they're asked the first time. Returns { status, ok, headers, data }: the HTTP status and the response body, including error details on failure.

输入参数url必填bodyquerymethod必填headers必填

get_me

Get me

Returns who is signed in and every company they can open, with their role in each. This is the first call a client makes after sign-in: almost every other call needs a company id from companies[].id. Any signed-in person may call it. It also does housekeeping on the way: it makes sure the person's personal company exists and turns any email invitations waiting for them into memberships, so a company someone was just added to shows up here. The x-company-id header is optional here. currentCompanyId tells you which company the server will use for requests that send this header; with no header, or one naming a company the person is not in, it falls back to their personal company instead of failing. Other fields: companyLimit is how many companies a person may create (null means no limit) and companiesCreated is how many they have created so far, for a "New company" button. onboardedAt on each company is null until its setup is finished. Errors: 401 NOT_SIGNED_IN when no token is sent; 401 SESSION_EXPIRED when the token is no longer valid. GET https://meet-analyzer-api.50agents.com/api/v1/ui/me

无需输入参数。

list_meetings

List meetings

Lists the analysed meetings the caller may see, as cards, newest first, with the filter choices the Meetings screen offers. Use it to show or search the meeting list, and to find a meetingId for Get Meeting, Get Meeting Transcript, Get Share Link or the notes routes (meetings[].id). Any member of the company may call it, but what comes back depends on their role. An owner or admin sees every meeting in the company. A member sees only the meetings they booked or were invited to, plus every meeting of each team they are in (only their own when they are in no team). It never returns meetings from a company other than the one named in x-company-id. Paging: send limit (1 to 100) to get pages. When there are more results, nextCursor holds a token; pass it back as cursor to get the next page. nextCursor is null on the last page. Without limit, every matching meeting comes back in one response. Never build a cursor yourself. The first page (no cursor) also carries the extras: filters (the types, tags, people and teams that actually occur, each with a count), totals (all meetings the caller may see, and how many of them still need attention, ignoring the filters) and processing (up to 50 meetings the caller may see that are still being analysed, newest first). On later pages filters and totals are null and processing is empty, so keep the first page's copy. meetingCount is the number of matches across all pages. In filters.people, team is true for someone who was ever on the company's side of a call. Filters combine: q searches title, headline, summary, type, tag, a participant's name or email, a team's name, or an exact meeting id; type, tag and person take values from filters; teamId limits to meetings booked by or with that team's members (an id from filters.teams[].value); within keeps meetings from the last N days; from and to pick a custom date range instead; status is open (still needs something) or handled. Team filter: an owner or admin may pass any of the comp

输入参数qtotagfromtypelimitcursorpersonstatusteamIdwithin

ask_a_question

Ask a question

Answers a plain-language question from the company's processed meetings, with a headline, a short answer, an optional chart and the quotes it is based on. Use it whenever someone asks what was said, decided or promised in their meetings. Leave out meetingId to search every meeting the asker may see; set it to answer from one meeting only. Who may call it: any member of the company. An owner or admin asks over every meeting in the company; a member asks only over the meetings they may see (ones they booked or were invited to, plus their teams' meetings). The company comes from the x-company-id header. meetingId comes from List Meetings (meetings[].id). This is slow: a minute is normal and up to three minutes happens, so allow a long timeout. A question it cannot answer is still a 200 with chart null and the reason in body: "No conversations in this company yet" when the company has no processed meetings or meetingId names a meeting that does not exist or that the asker may not see; "No conversation covers that yet" when nothing matches; "Could not answer that" when the engine fails, with the reason in body and any failures in warnings and a "What went wrong" block in detail. tags narrow a company-wide question to meetings carrying any of those tags or topic names. Each tag is normalised before matching: trimmed, upper-cased, spaces and underscores turned into dashes, other characters dropped, so "Renewal terms" matches the topic "Renewal terms". tags are ignored when meetingId is set. id is the same for the same question (case and spacing ignored) and the same meetingId, so it can be used to keep the answer on the board with Keep Question on Board. Quotes are only traced to transcript lines in this company's meetings; one that cannot be traced keeps its words with affiliation "from the conversation" and no meetingId. Errors: 400 VALIDATION_FAILED for a missing, too short or too long question, an empty or too long meetingId, a tag over 40 characters or with no l

输入参数tagsquestion

quickstart-liliphant

Quickstart Liliphant

Liliphant API quickstart: read the user's meetings and ask questions answered from what people actually said. Load before any Liliphant task. Call this to load the full instructions for this skill before doing the task.

无需输入参数。

版本历史

1
  1. v1.0.0最新Oct 31, 2026

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

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  • 图标10 分
  • 文档15 分
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    请在仓库或注册中心条目中声明许可证。