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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

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

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

[mcp_servers.linkedin]
url = "https://www.fluxgraph.app/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "linkedin": {
      "type": "remote",
      "url": "https://www.fluxgraph.app/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "linkedin": {
      "type": "http",
      "url": "https://www.fluxgraph.app/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=linkedin&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vd3d3LmZsdXhncmFwaC5hcHAvbWNwIn0%3D"
}

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

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

extensions:
  "linkedin":
    enabled: true
    name: "linkedin"
    type: streamable_http
    uri: "https://www.fluxgraph.app/mcp"
    timeout: 300

Quality 69 / 100new

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene64 · weight 30

pass
tools.descriptionsevery tool has a description
pass
tools.description_lengthdescriptions are concise
pass
tools.schemasevery tool has an object input schema
fail
tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
fail
tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: remove_from_segment (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_profiles (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); linkedin_post_search (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
warn
tools.token_costabout 14,030 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stabilityn/a · weight 15

n/a
stability.changes, stability.rug_pulltool history recorded for 5 of the 7 days needed

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

67 tools, about 14,030 tokens to load them all · tool set 1dcff2da4f55 · tools last changed 2026-11-02 · checked 2026-11-07 18:01 UTC

Tool changes

2026-11-02claim_previewchangeddescriptionmeaning changed
before
Make 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.
after · 37% of words in common
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 dashboard; the breakdown tools still work then.
2026-11-02preview_search_postsadded
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 continue_url from preview_profile.
2026-11-02preview_posting_insightschangeddescriptionmeaning changed
before
Best day, hour, format and length for a previewed profile (from preview_profile). No account needed.
after · 29% of words in common
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, otherwise use continue_url from preview_profile.
2026-11-02preview_profilechangeddescriptionmeaning changed
before
Analyze 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 for the full breakdown, and claim_preview after the person signs in to make it their own dashboard.
after · 42% of words in common
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 breakdown (best day and hour, top and bottom posts with reasons, trends by format) and keyword search need a free Flux account: call preview_posting_insights or preview_search_posts with the preview_id, which asks the person to sign in where the client supports it, or give the person the continue_url if that call fails. Call claim_preview after sign-in only when the person says the profile is theirs.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 96 / 100

provenance85

liveness100

freshness100

hygiene100

+repository +dns-namespace +website +reachable +uptime-100% +updated-1d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://www.fluxgraph.app/mcp` streamable-http	none	yes	100%	384 ms	2025-11-25	2026-11-07

Tools (67)

`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.
`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 the union). Existing members are silently ignored. Free — costs 0 credits.
`add_to_segment`	Add one or more people (by person_id) to an audience segment. Existing members are silently ignored. Free — costs 0 credits.
`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 dashboard; the breakdown tools still work then.
`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.
`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 — 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 resolve_segment, or pass `template` to pre-fill `config` from a built-in template (type defaults to 'smart'). Free — costs 0 credits.
`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 checkout.
`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 profile is managed from Settings and billing.
`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 keyword search prefer `search_posts`; for fresh LinkedIn keyword pulls use `linkedin_post_search`. Pass `profile_id` to scope to a tracked profile, `collection_id` to scope to a collection, or neither to search the entire library.
`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.
`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 LinkedIn pull, no credits charged.
`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.
`get_company_engagement_overlap`	Given two companies, return engagers across your collected posts who engaged with BOTH companies' posts. Cross-account intelligence — finds people interested in multiple targets simultaneously. Pure DB read — no LinkedIn pull, no credits charged.
`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. Returns { tool_name, cost, balance, sufficient, stream_cost? }. Tools not in the registry are assumed to cost 0. Free.
`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_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 row in `people`), or `linkedin_url` (any form). The non-campaign forms work even when no Constellation campaign exists.
`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`. Pure DB read — no LinkedIn pull, no credits charged.
`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_collections.id) to plot trends for a specific collection.
`get_engager_position_history`	Return 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 LinkedIn pull, no credits charged.
`get_outreach_path`	Given a target person, find the shortest warm-intro path through your engager network. Walks coworker (shared current company) + alumni (shared past company / school) edges. Up to 3 hops. Pure DB read — no LinkedIn pull, no credits charged.
`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 audience segment, ranked by their engagement count against your tracked profiles' posts. No composite_score. • `linkedin_urls` — an ad-hoc list of LinkedIn URLs, same engagement-count ranking as segments. Free — costs 0 credits.
`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 `_unknown_company`. Optional industry_urn filter narrows to one industry.
`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. Pass `scope` (a post_collections.id) to recompute the patterns against a specific collection.
`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 `scope` (a post_collections.id) to restrict to a specific collection (e.g. an external profile, topic stream, or hand-curated set). Paginated. For keyword/semantic search across posts, use `search_posts`. For fresh LinkedIn pulls, use `linkedin_profile_posts`.
`get_post_set_engagers`	Return the consolidated, deduped people who reacted to or commented on a SET of posts — one tracked profile's posts (profile_id) or a post collection (collection_id). Fetches only posts not synced within freshness_days, and enriches (title/company via a profile lookup) only never-seen people, up to max_enrich. Costs 2 credits per post synced + 3 per person enriched; cached posts are free.
`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_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.
`get_target_warmth_brief`	For a target person, summarize all engagement evidence between them and your collected posts: posts they reacted to, posts they commented on, frequency, recency, reaction kinds, comment text snippets. Computes a v0 warmth score from engagement count, comment signal, and recency. Pure DB read — no LinkedIn pull, no credits charged.
`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` (a post_collections.id) to scope the analysis to a collection.
`get_usage_history`	Return recent credit_ledger transactions for the authenticated user. Filter by tool name, reason, or date range. Paginated. Free.
`linkedin_ad_search`	Search the LinkedIn ad library. Useful for tracking competitor ad creative and messaging. Costs 10 credits per call.
`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_company_search`	Search LinkedIn companies. Filter by keywords, industryId, or location. Costs 5 credits per call. Returns a single page of matching companies.
`linkedin_job_search`	Search LinkedIn job postings. Useful for tracking hiring signals at target companies. Costs 5 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_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.
`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_search`	Search LinkedIn posts by keyword. Costs 5 credits per call. Returns a single page of matching posts.
`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_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_profile_* tools.
`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 prospects.
`linkedin_profile_reactions`	Fetch the recent posts a LinkedIn person has reacted to. Useful for inferring interests. Costs 5 credits per call.
`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.
`list_profiles`	List all tracked LinkedIn profiles for the authenticated user. Returns profile IDs needed by other tools.
`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.
`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.
`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-compatible callers.
`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.
`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 — bounded by `max_targets`. Max spend per call is ~175 credits; actual cost is reported in the response.
`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.
`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, otherwise use continue_url from preview_profile.
`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 breakdown (best day and hour, top and bottom posts with reasons, trends by format) and keyword search need a free Flux account: call preview_posting_insights or preview_search_posts with the preview_id, which asks the person to sign in where the client supports it, or give the person the continue_url if that call fails. Call claim_preview after sign-in only when the person says the profile is theirs.
`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 continue_url from preview_profile.
`remove_from_collection`	Remove one or more posts (by post_id) from a collection. Missing 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_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.
`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.
`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.
`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 rest settled when the run finishes, so a run that stops early (or fails) costs less than max_pages implies. Paused streams must be resumed first. Use list_streams or get_stream_feed to see results once the run completes.
`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 call. Failed lookups don't charge.
`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` table. Segment- and url-list-scoped scoring is not yet supported — use `get_outreach_queue({segment_id})` or `get_outreach_queue({linkedin_urls})` for engagement-count ordering on those scopes; full composite scoring will land alongside the unified person-positions schema in a later phase.
`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, factor breakdown, similar past posts, and improvement suggestions. Free. Pass `profile_id` to scope to a tracked profile, `collection_id` to scope to a collection, or neither to score against the user's full library.
`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. For fresh LinkedIn keyword pulls, use `linkedin_post_search` instead (5 credits).
`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, `collection_id` to scope to a collection, or neither to use the user's full library.
`traverse_graph`	Executes a TS-validated SELECT-only SQL query against the engagement graph and returns rows. CALL traverse_graph_help FIRST to get schema + caller_user_ids + canonical examples. Required: SQL must start with SELECT or WITH, contain no DML/DDL keywords, and reference one of your caller_user_ids or caller_tracked_lp_ids verbatim. Cap: 1000 rows, 5s statement timeout. Pure DB read — 0 credits.
`traverse_graph_help`	Returns the schema, FK edges, and 5 canonical SQL examples needed to write your own SELECT against the engagement graph via traverse_graph. Also returns YOUR resolvable identities (caller_user_ids, caller_tracked_lp_ids) — substitute these into example SQL when you write your query. Pure DB read — 0 credits. Free.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "app.fluxgraph/linkedin",
  "title": "Flux LinkedIn MCP",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://www.fluxgraph.app/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.1",
  "repository": {
    "url": "https://github.com/elegant-atomics/linkedin-mcp",
    "source": "github"
  },
  "websiteUrl": "https://www.fluxgraph.app/features/mcp",
  "description": "LinkedIn intelligence: post analytics and research for public profiles and company pages."
}