Flux LinkedIn MCP

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 营销与社交媒体

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://www.fluxgraph.app/mcp

claude mcp add --transport http linkedin https://www.fluxgraph.app/mcp

{
  "mcpServers": {
    "linkedin": {
      "url": "https://www.fluxgraph.app/mcp"
    }
  }
}

{
  "servers": {
    "linkedin": {
      "type": "http",
      "url": "https://www.fluxgraph.app/mcp"
    }
  }
}

https://www.fluxgraph.app/mcp

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• list_profiles

  List all tracked LinkedIn profiles for the authenticated user. Returns profile IDs needed by other tools.

• preview_profile

  Analyze a public LinkedIn profile or company page without a Flux account: pulls the latest ~50 posts (once per profile) and returns a teaser: post count, average engagement, the format that beats the baseline, the top post and the recent trend, plus a preview_id. The full breakdo

• preview_posting_insights

  Full breakdown for a previewed profile (from preview_profile): best day, hour, format and length, the top and bottom 5 posts with measured reasons, and engagement trend by format. Requires a free Flux account; calling it asks the person to sign in where the client supports it, ot

• preview_search_posts

  Keyword search over the latest 50 posts of a previewed profile (from preview_profile). Case-insensitive substring match; returns matching posts ordered by engagement. Requires a free Flux account; calling it asks the person to sign in where the client supports it, otherwise use c

• claim_preview

  Make a profile from preview_profile your own Flux dashboard. Call this only when the person says the profile is theirs: the person cannot undo a claim. Requires sign-in; creates a free dashboard showing the latest 50 posts, one per account. Refuses if the account already has a da

• get_posts

  List a tracked profile's persisted posts with full metrics and text — query against the local post library, no LinkedIn pull, free. Use this when the caller already has a profile_id and wants to read its posts. Filter by date range, post type, minimum engagement, or text. Pass `s

• get_profile_summary

  Get KPI summary for a tracked profile: total posts, average engagement (broken down by likes/comments/shares/conversation rate), posts per week, engagement trend, top format, and posting goal status.

• get_posting_insights

  Get optimal posting patterns for a profile: best day of week, best hour, format performance breakdown, and character length sweet spot. Includes full metric breakdown (likes, comments, shares, conversation rate) for every bucket. All metrics relative to the user's own baseline. P

• get_topic_insights

  Surface the most-frequent topics in a profile's posts, with engagement context. Returns top N unigrams and (optionally) top N bigrams ranked by post count, each with avg_engagement, vs_baseline, and a sample_post_url. Mirrors the dashboard topics chart, server-side. Pass `scope`

• get_engagement_trends

  Get engagement time series for a profile with gap-filled buckets, rolling averages, and trend direction. Each bucket includes avg engagement, likes, comments, shares, and conversation rate. Useful for understanding whether engagement is growing or declining. Pass `scope` (a post_

• search_posts

  Keyword + semantic search over persisted posts in the local library — full-text + pgvector cosine, no LinkedIn pull, free. Use this when the caller has a query string and wants ranked persisted-post results. Pass `scope` (a post_collections.id) to limit to a specific collection.

• get_credit_balance

  Return the authenticated user's current credit balance, this period's monthly allocation, and credits used since the period started. Free.

• get_usage_history

  Return recent credit_ledger transactions for the authenticated user. Filter by tool name, reason, or date range. Paginated. Free.

• get_cost_estimate

  Given an MCP tool name, return its credit cost so you can preview an action before running it. Also accepts a stream type (external_profile, company, topic, person_interests, hiring_signals, ad_watch) to preview the per-page cost create_stream / run_stream_now will charge. Return

• create_stream

  Create a new research stream (external profile, company, topic, person interests, hiring signals, or ad watch). Running the stream on its schedule costs credits (see get_cost_estimate for the per-type cost). own_profile streams are not created here — they come from subscription c

• list_streams

  List all research streams for the authenticated user (external profiles, companies, topics, person interests, hiring signals, ad watches, and own_profile). Pass `type` to filter. Replaces list_profiles for the streams-first world, but list_profiles continues to work for V1-compat

• get_stream_feed

  Return the most recent posts a stream has collected into the library, newest first by published_at. Use this to browse what a topic / external profile / person_interests / company stream has surfaced on its schedule.

• pause_stream

  Pause a stream so it stops running on its cron schedule. Existing posts remain in the library. Use resume_stream to re-enable it. own_profile streams are billing-managed and cannot be paused here.

• resume_stream

  Resume a paused stream. Sets active=true and queues it to run on the next cron tick by clearing next_run_at. own_profile streams are billing-managed and cannot be resumed here.

• delete_stream

  Delete a stream and its stream_runs. Posts collected by the stream stay in your library (stream_id is set to NULL via ON DELETE SET NULL) so historical data isn't lost. Auto-collection is deleted with the stream. own_profile streams cannot be deleted through this tool; the own pr

• run_stream_now

  Trigger an immediate run of an active stream, bypassing its schedule. The run is fire-and-forget — the response confirms the dispatch but post collection happens asynchronously. Credits are charged for pages actually walked, not pages requested: one page is taken upfront and the

• linkedin_profile_info

  Fetch a LinkedIn person profile (headline, current role, work history, education, location). Costs 5 credits per call. Results are upserted into `people` (structured fields) and `linkedin_profiles` (so profile-brief renders) — same enrichment side-effect as the other linkedin_pro

• linkedin_profile_posts

  Fetch recent posts from a LinkedIn person profile. 5 credits per page of 50, up to 250 posts, charged only for pages actually fetched. Results are stored in the post library (source_type='external') and linked to a linkedin_profiles row so profile-brief can render research-only p

• linkedin_company_posts

  Fetch recent posts from a LinkedIn company page. 5 credits per page of 50, up to 250 posts, charged only for pages actually fetched. Results are stored in the post library (source_type='external') and linked to a linkedin_profiles row (profile_type='company').

• linkedin_post_search

  Search LinkedIn posts by keyword. Costs 5 credits per call. Returns a single page of matching posts.

• linkedin_profile_reactions

  Fetch the recent posts a LinkedIn person has reacted to. Useful for inferring interests. Costs 5 credits per call.

• linkedin_profile_comments

  Fetch the recent posts a LinkedIn person has commented on. Useful for inferring interests and conversation partners. Costs 5 credits per call.

• linkedin_job_search

  Search LinkedIn job postings. Useful for tracking hiring signals at target companies. Costs 5 credits per call.

• linkedin_ad_search

  Search the LinkedIn ad library. Useful for tracking competitor ad creative and messaging. Costs 10 credits per call.

• linkedin_people_search

  Search LinkedIn people. Filter by company, title, location, or free-text keywords. Costs 5 credits per call. Returns a single page of matching profiles.

• linkedin_company_search

  Search LinkedIn companies. Filter by keywords, industryId, or location. Costs 5 credits per call. Returns a single page of matching companies.

• linkedin_post_reactions

  Fetch the people who reacted to a single LinkedIn post. Costs 5 credits per call. Engagers (with reaction kind) are persisted to the post_engagements graph so subsequent queries about who-engages-with-whom are SQL, not API calls.

• linkedin_post_comments

  Fetch the people who commented on a single LinkedIn post (and their comment text). Costs 5 credits per call. Each comment is persisted to post_engagements with the commenter and full comment text.

• find_similar_posts

  Find persisted posts whose embeddings are nearest to a free-text query — pgvector cosine over the local post library, no LinkedIn pull, free. Use when you have a *block of text* (a draft, a paragraph, a competitor's post) and want similar posts you've already collected. For keywo

• score_draft

  Predict how a draft post will perform against the user's historical data. Uses an OLS regression model with detrending, ridge regularization, and recency weighting — the same model used on the /score page. Returns a predicted engagement percentile, projected engagement range, fac

• suggest_angles

  Given a topic, suggest distinct content angles informed by what performs well in the user's scoped data. Pulls top-performing historical posts as context and calls OpenAI to generate 5 concrete angles. Costs 5 credits per call. Pass `profile_id` to scope to a tracked profile, `co

• list_segments

  List all audience segments for the authenticated user, with member counts. Audience segments are named groups of people (e.g. 'ICP — VPs of Marketing', 'Champions'). Free — costs 0 credits.

• create_segment

  Create a new audience segment (named group of people) for the authenticated user. Set type='manual' for a hand-curated list (use add_to_segment to populate it), type='smart' with a `config` predicate (e.g. {title_contains:'VP'}) to define a dynamic segment resolved on-demand by r

• add_to_segment

  Add one or more people (by person_id) to an audience segment. Existing members are silently ignored. Free — costs 0 credits.

• remove_from_segment

  Remove one or more people (by person_id) from an audience segment. Missing members are silently ignored. Free — costs 0 credits.

• resolve_segment

  Resolve an audience segment into a concrete list of person_ids. For manual / auto_stream segments, returns stored members. For smart segments, evaluates the segment's `config` predicate against the people table and returns matches. Free — costs 0 credits.

• list_segment_templates

  List available smart-segment templates. Pass a template id to create_segment to pre-fill its `config` predicate without crafting one from scratch. Free — costs 0 credits.

• get_alerts

  Return recent alerts for the authenticated user's streams. An alert is emitted whenever a scheduled stream run surfaces new items. Pass `unread_only=true` to skip alerts the user has already marked read. Free — costs 0 credits.

• create_collection

  Create a new post collection for the authenticated user. Set type='manual' to hand-curate posts with add_to_collection, or type='smart' with a `config` predicate (e.g. {format:'video',min_likes:50}) to define a dynamic collection resolved on-demand by resolve_collection. Free — c

• add_to_collection

  Pin one or more posts (by post_id) into a collection you own — works on any collection type. On a 'manual' collection this is the only membership mechanism; on a 'smart' collection it adds the posts as extras alongside whatever the rule already matches (resolve_collection returns

• remove_from_collection

  Remove one or more posts (by post_id) from a collection. Missing members are silently ignored. Free — costs 0 credits.

• list_collections

  List all post collections for the authenticated user, with member counts. Includes manual collections, smart collections (predicate-based), and auto_stream collections (system-managed). Free — costs 0 credits.

• resolve_collection

  Resolve a post collection into a concrete list of post_ids. For manual / auto_stream collections, returns stored members. For smart collections, evaluates the collection's `config` predicate against the user's posts and returns matches. Free — costs 0 credits.

• create_campaign

  Create a Constellation outreach campaign. A campaign groups target accounts, the people you care about at those accounts, and the warm connections you could approach to reach them. Free — costs 0 credits.

• add_campaign_accounts

  Add one or more target companies to a Constellation campaign. Each account is a company you want to reach; map_constellation is then run per-account. Free — costs 0 credits.

• map_constellation

  Map the professional graph around a target company. Finds senior decision-makers at the account, pulls each target's recent posts/reactions/comments to identify engagers, then scores every connection and produces a prioritized outreach queue. Credit cost scales with targets — bou

• score_connections

  Re-score all constellation entries in a campaign and rewrite queue positions from highest to lowest composite score. Use after new engagers or targets are added. Free — costs 0 credits. Note: this tool requires a `campaign_id` because it writes back to the `constellation_entries`

• get_outreach_queue

  Return a prioritized outreach queue. Provide *exactly one* of three scopes: • `campaign_id` — full Constellation queue with composite_score, pool, recommended_action, and prior outreach_log entries (the original campaign-scoped behavior). • `segment_id` — people in a saved audien

• get_engagement_brief

  For one person, return their recent posts most relevant to what you post about — plus suggested talking points. Use before a warm comment or DM. Free — costs 0 credits. Identify the person via *exactly one* of: `target_id` (a Constellation target — original input), `person_id` (a

• log_outcome

  Append an entry to the outreach log for a Constellation campaign. Use to record connection requests, acceptances, replies, or no-responses so get_campaign_stats can compute acceptance / reply rates over time. Free — costs 0 credits.

• get_campaign_stats

  Summary stats for a Constellation campaign: target count, entry count, outreach volume, and acceptance / reply rates broken down by pool (coworker / engager / mutual) and composite-score tier. Free — costs 0 credits.

• save_post

  Save a LinkedIn post to your library by its URL. Resolves the post and stores it with source_type='saved'. Optionally pins the post into any collection you own (manual or smart — pinning into a smart collection adds it as an extra alongside the rule's matches). Costs 1 credit per

• get_post_engagers_by_company

  Given a LinkedIn post URL or id, return the companies whose people engaged (reacted/commented), ranked by engager count. Joins through person_positions(is_current=true). Pure DB read — no LinkedIn pull, no credits charged. Engagers without a known current company are bucketed as

• get_engagement_industry_breakdown

  Histogram of engagers' companies grouped by industry. Pivots on companies.industry_hierarchy (e.g. 'Tech > Software Development'). Depth=1 buckets by top-level, =2 by top+mid, =3 by full hierarchy. Engagers with no current company / no industry hierarchy bucket as `_unknown`. Pur

• get_alumni_engagers

  Given a company URL or id, return engagers (across your collected posts) who have a position at that company. Relation filter: 'coworker' = current employees, 'alumni' = any past or current position (most useful for page_type='SCHOOL' companies), 'any' = both. Pure DB read — no L

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（fluxgraph.app）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 378 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 60 个工具描述，未发现针对 AI 的隐藏指令

与“营销与社交媒体”中的其他服务器比较i

• 星标数多于此分类中其他 2959 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 2959 个服务器的 87% 更新
• 基础检查结果等于或优于此分类中其他 2959 个服务器的 48%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README