
MCP-сервер Flux
Какие MCP-серверы принадлежат Flux, из официального реестра и найденные запросом к его домену, отвечают ли они и что умеют. Всё это проверила программа, а не переписал человек со страницы продукта.
прочитано 2026-11-02
- Имя в реестреapp.fluxgraph/linkedinподтверждён в реестре MCP
Имя в реестре лежит в пространстве fluxgraph.app. Реестр пускает в такое пространство только того, кто доказал владение доменом через DNS или HTTP.
- Состояниеотвечаетпроверено 2026-11-02
- Инструменты66
- Сервер называет себяflux
- Версия сервера0.1.0
- Версия протокола2025-06-18
2026-11-02 сервер ответил на initialize и tools/list без входа. Первый ответ за 107 мс.
- Инструменты делают все проверенные сценарии: Compare which post topics and formats earn the most engagement; Find the best days and hours to publish; Score a draft post before publishing it.
- Проверок пока 3 из 7, нужных, чтобы судить о надёжности.
После подключения
- Для «Score a draft post before publishing it» вероятный первый вызов - score_draft.
- create_stream, delete_stream, linkedin_post_reactions, linkedin_post_comments, create_segment меняют данные без входа: вызвать их может любой, у кого есть адрес.
Вывод сделан правилами по замерам выше. Вероятный первый вызов выбрала модель по списку инструментов: прочитайте описание, прежде чем на него полагаться.
- Оценка INITE MCPчерез неделюдля оценки нужно 7 ежедневных проверок, пока 3
- Что агент может с ним сделать3 из 3 сценариев
- Отвечалидёт замерпроверок пока 3, долю покажем после 7
- Медиана первого ответа142 мс
- Место в контексте агента≈ 14 719 токеновописания всех инструментов (67), они занимают контекст агента на каждом ходу
- Описания инструментовB · 83 из 100
- Типизированные ответы0 из 67 инструментовобъявлен outputSchema: ответ приходит с типами и читается сразу
- Не сказано, только читает инструмент или может удалять: 67 из 67
Что агент может с ним сделать
- может · Compare which post topics and formats earn the most engagement
- может · Find the best days and hours to publish
- может · Score a draft post before publishing it
Каждый сценарий продукта мы задали Jev вместе со списком инструментов сервера: может ли агент сделать это этими инструментами?
На что посмотреть
- Инструменты, которые меняют данные, на сервере, который отвечает без входа: create_stream, delete_stream, linkedin_post_reactions, linkedin_post_comments, create_segment
Программа проверяет сервер раз в день: initialize и tools/list, без модели. Токены - это длина описаний из расчёта примерно четыре символа на токен. Оценка - среднее шести проверок имени, описания, схемы и аннотаций каждого инструмента. Она говорит, насколько понятно описаны инструменты, а не о том, работают ли они. Оценка складывается только из замеренного: отвечает ли сервер (25%), делает ли работу продукта (25%), описания (20%), контекст (10%), использование (10%) и насколько просто подключиться (10%). Незамеренная часть не учитывается, а скрытая инструкция ограничивает оценку 40 баллами. Состояние MCP-серверов вендоров: методика и цифры →
list_profilesList all tracked LinkedIn profiles for the authenticated user. Returns profile IDs needed by other tools.
preview_profileAnalyze a public LinkedIn profile or company page without a Flux account: pulls the latest ~50 posts (once per profile) and returns a preview id, post count and a one-line posting summary. Use preview_posting_insights with the preview_id…
preview_posting_insightsBest day, hour, format and length for a previewed profile (from preview_profile). No account needed.
claim_previewMake a profile from preview_profile your own Flux dashboard. Requires sign-in; creates your own_profile stream on the free plan pointing at the same posts. Refuses if you already track that profile.
get_postsList 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…
get_profile_summaryGet 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_insightsGet 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…
get_topic_insightsSurface 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…
get_engagement_trendsGet 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…
search_postsKeyword + 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…
get_credit_balanceReturn the authenticated user's current credit balance, this period's monthly allocation, and credits used since the period started. Free.
get_usage_historyReturn recent credit_ledger transactions for the authenticated user. Filter by tool name, reason, or date range. Paginated. Free.
get_cost_estimateGiven 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_streamCreate 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…
list_streamsList 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…
get_stream_feedReturn 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_streamPause 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_streamResume 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_streamDelete 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…
run_stream_nowTrigger 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…
linkedin_profile_infoFetch 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…
linkedin_profile_postsFetch 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…
linkedin_company_postsFetch 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…
linkedin_post_searchSearch LinkedIn posts by keyword. Costs 5 credits per call. Returns a single page of matching posts.
linkedin_profile_reactionsFetch the recent posts a LinkedIn person has reacted to. Useful for inferring interests. Costs 5 credits per call.
linkedin_profile_commentsFetch the recent posts a LinkedIn person has commented on. Useful for inferring interests and conversation partners. Costs 5 credits per call.
linkedin_job_searchSearch LinkedIn job postings. Useful for tracking hiring signals at target companies. Costs 5 credits per call.
linkedin_ad_searchSearch the LinkedIn ad library. Useful for tracking competitor ad creative and messaging. Costs 10 credits per call.
linkedin_people_searchSearch 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_searchSearch LinkedIn companies. Filter by keywords, industryId, or location. Costs 5 credits per call. Returns a single page of matching companies.
linkedin_post_reactionsFetch 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_commentsFetch 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_postsFind 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…
score_draftPredict 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…
suggest_anglesGiven 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…
list_segmentsList 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_segmentCreate 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…
add_to_segmentAdd one or more people (by person_id) to an audience segment. Existing members are silently ignored. Free — costs 0 credits.
remove_from_segmentRemove one or more people (by person_id) from an audience segment. Missing members are silently ignored. Free — costs 0 credits.
resolve_segmentResolve 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…
list_segment_templatesList 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_alertsReturn 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_collectionCreate 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…
add_to_collectionPin 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…
remove_from_collectionRemove one or more posts (by post_id) from a collection. Missing members are silently ignored. Free — costs 0 credits.
list_collectionsList 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_collectionResolve 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…
create_campaignCreate 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_accountsAdd 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_constellationMap 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…
score_connectionsRe-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…
get_outreach_queueReturn 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)…
get_engagement_briefFor 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…
log_outcomeAppend 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_statsSummary 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_postSave 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…
get_post_engagers_by_companyGiven 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…
get_engagement_industry_breakdownHistogram 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…
get_alumni_engagersGiven 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'…
get_engager_position_historyReturn a person's full employment timeline from the position graph. Person must have engaged on at least one of your collected posts (engagement gate). Sorted current-first, then most-recent past by started_at desc. Pure DB read — no…
Первые 60 из 66, в порядке сервера.
Как подключить
Добавьте сервер в конфиг MCP-клиента. Claude Desktop, Cursor и большинство других клиентов понимают такой вид:
{
"mcpServers": {
"linkedin": {
"type": "http",
"url": "https://www.fluxgraph.app/mcp"
}
}
}Подключить
Claude Code, в терминале
claude mcp add --transport http fluxgraph https://www.fluxgraph.app/mcpДобавить в CursorДобавить в VS Code
claude.ai, ChatGPT и другие клиенты: добавьте https://www.fluxgraph.app/mcp как свой коннектор в настройках.
Каждую строку нашла программа: запись в реестре, ответ самого сервера, разобранная спецификация. Если строки нет, мы этого не нашли; это не значит, что этого нет.
Прежде чем засчитать визит
Аналитика и измерение рекламы показывают, какие страницы работают и какая наша реклама приносит результат: Google Analytics и Google Ads, пиксель Meta, Яндекс Метрика и один наш собственный идентификатор. До вашего ответа ничего не сохраняется, а после отказа сайт работает так же.