Claude, let's write a LinkedIn post.

Return posts with full metrics and text content for a tracked profile. Supports filtering by date range, post type, minimum engagement, and text search. Pass scope to restrict to a collection. Paginated.

Show me every post I published last quarter with more than 50 likes.

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

How am I doing this month vs last month?

Optimal posting patterns for a profile: best day of week, best hour, format performance breakdown, character-length sweet spot. All metrics relative to the user's own baseline. Pass scope to recompute against a collection.

When should I post this week to maximize comments?

Engagement time series with gap-filled buckets, rolling averages, and trend direction. Each bucket includes avg engagement, likes, comments, shares, and conversation rate.

Plot my engagement over the last 12 weeks and tell me where it broke.

Top terms and bigrams across a profile's posts, ranked by post count and engagement vs the user's baseline. Each term carries a sample post URL so you can jump to a representative example. Pass scope to recompute against a collection.

What topics get me the most engagement this quarter?

Search posts by keyword and/or semantic similarity. Full-text search with stemming for keyword matches, pgvector embeddings for semantic matches. Results ranked by relevance.

Find everything I've written about pricing strategy.

Find posts semantically similar to input text using OpenAI embeddings and pgvector cosine similarity. Scope to a profile or a collection. Returns posts sorted by similarity with engagement metrics.

Have I already written something like this draft?

Predict how a draft post will perform against the user's historical data. OLS regression with detrending, ridge regularization, and recency weighting — same model as the /score page. Returns predicted engagement percentile, projected range, factor breakdown, similar past posts, and improvement suggestions.

Score this draft and tell me what to cut.

Given a topic, suggest distinct content angles informed by what performs well in the user's scoped data. Pulls top historical posts as context and asks OpenAI to generate 5 concrete angles.

Give me five angles on developer tooling that fit my voice.

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

List my tracked LinkedIn profiles.

List all research streams (external profiles, companies, topics, person interests, hiring signals, ad watches, own_profile). Pass type to filter.

Show me every stream I've got running.

Create a new research stream — the create call itself is free. Each scheduled run costs credits per STREAM_RUN_COSTS; see get_cost_estimate for per-type cost. own_profile streams come from subscription checkout, not this tool.

Start a topic stream that watches LinkedIn for posts about RAG.

Return the most recent posts a stream has collected into the library, newest first by published_at.

What did my 'fintech execs' stream pick up this week?

Pause a stream so it stops running on its cron schedule. Existing posts remain in the library.

Pause the competitor-ads stream.

Resume a paused stream. Queues it to run on the next cron tick.

Resume my hiring-signals stream.

Delete a stream and its runs. Posts it collected stay in your library so historical data isn't lost. own_profile streams can't be deleted here — cancel the subscription instead.

Drop the stream I set up for Acme Corp.

Manually trigger a stream run instead of waiting for its cron tick. Charges per STREAM_RUN_COSTS (1 credit/run for most types, 2 for person_interests). Useful when you want fresh results before a scheduled run.

Run my hiring-signals stream now.

List all post collections for the authenticated user, with member counts.

Create a new post collection. Manual or smart (predicate-based).

Make a collection of every post I wrote about hiring.

Add one or more posts (by post_id) to a collection. Existing members are silently ignored.

Remove one or more posts (by post_id) from a collection. Missing members are silently ignored.

Resolve a post collection into a concrete list of post_ids. Works for both manual and smart collections.

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

Create a new audience segment. Manual or smart (template-based).

Create a segment of everyone who's commented on more than 3 of my posts.

Add one or more people (by person_id) to an audience segment.

Remove one or more people (by person_id) from an audience segment.

Resolve an audience segment into a concrete list of person_ids.

List available smart-segment templates. Pass a template id to create_segment to spin up a preconfigured segment.

Save a LinkedIn post to your library by URL. Resolves the post via HarvestAPI and stores it with source_type='saved'. Optionally adds the post to a manual collection. Failed lookups don't charge.

Save this LinkedIn post and drop it in my 'swipe file' collection.

Return recent alerts for the authenticated user's streams.

Resolve a LinkedIn person URL into a structured profile — full name, headline, current company/title, location, work history. Upserted into `people` and `linkedin_profiles` so downstream tools can filter on the fields without a re-pull.

Who is this LinkedIn profile?

Fetch recent posts from a LinkedIn person profile. Results also stored in the post library (source_type='external') and linked to a linkedin_profiles row.

Pull recent posts from this LinkedIn profile.

Fetch recent posts from a LinkedIn company page.

Search LinkedIn posts by keyword. Returns a single page of matching posts.

Fetch the recent posts a LinkedIn person has reacted to. Useful for inferring interests.

Fetch the recent posts a LinkedIn person has commented on. Useful for inferring interests and conversation partners.

Fetch the people who reacted to a single LinkedIn post (with reaction kind). Engagers are persisted to the post_engagements graph.

Fetch the people who commented on a single LinkedIn post (with comment text). Each comment is persisted to post_engagements.

Search LinkedIn people by company, title, location, or keywords. Returns a single page of profiles.

Search LinkedIn companies by keywords, industry, or location. Returns a single page of companies.

Search LinkedIn job postings. Useful for tracking hiring signals at target companies.

Search the LinkedIn ad library. Useful for tracking competitor ad creative and messaging.

Create a Constellation outreach campaign. Groups target accounts, people you care about at those accounts, and warm connections you could approach.

Add one or more target companies to a campaign. map_constellation is then run per-account.

Map the professional graph around a target company. Finds senior decision-makers, pulls each target's recent posts/reactions/comments to identify engagers, scores every connection, and produces a prioritized outreach queue. Scales with max_targets; actual cost is reported in the response.

Map the constellation for Acme Corp — who are the senior execs and who of mine is closest?

Re-score all constellation entries in a campaign and rewrite queue positions from highest to lowest composite score. Run after new engagers or targets are added.

Return the prioritized outreach queue for a campaign, sorted by composite score. Each entry includes person details, pool (coworker/engager/mutual), recommended action, and prior log entries.

Who should I reach out to first this week?

For a Constellation target, return the handful of their recent posts that most closely overlap with the topics you post about yourself — plus suggested talking points. Use before a warm comment or DM.

Brief me before I DM this person.

Append an entry to the outreach log: connection requests, acceptances, replies, or no-responses. Feeds get_campaign_stats.

Summary stats for a campaign: target count, entry count, outreach volume, and acceptance / reply rates broken down by pool and score tier.

For a post in your library, group its engagers by current company — counts plus optional sample names per company. Filter to a single industry URN to slice tighter.

Which companies showed up in the engagers on my last big post?

Consolidated, deduped people who reacted/commented across a post set — one tracked profile's posts (profile_id) or a post collection (collection_id). Fetches only un-synced posts; enriches only never-seen people up to max_enrich. 2 credits/post + 3/enrich; cached posts free.

Who engaged with the posts in my 'Q2 launch' collection?

Histogram of engagers' industries on a post, with optional depth (1 = top-level, 3 = leaf) and sample companies per bucket. Useful for sanity-checking ICP fit.

For a target company, list people who engaged with your posts and who are current employees, alumni, or both (configurable). Returns title-at-company, current role, and engagement count.

Who at Acme has engaged with my content?

Career history of a person who has engaged with your posts. Engagement gate: only available for people who actually engaged (not arbitrary LinkedIn profiles).

For an engager, return their engagement summary against your posts: warmth score (0–1.0, v0), reaction/comment counts, first and most recent engagement dates, and the actual posts they touched. Use to qualify a warm DM.

How warm is this person before I reach out?

Cross-company intel: people who have engaged with both Company A's and Company B's posts in your library. Returns engagement counts per company and totals.

Find warm-intro paths to a target person via coworker/alumni edges in your engagement graph. Configurable max hops (1–3). Returns ranked paths grouped by hop count.

Who's my warmest path to this VP?

Returns the table schema, FK edges, your caller identifiers (caller_user_ids and tracked_lp_ids that traverse_graph requires you to reference), example queries, and the validation constraints. Call this first.

Show me the graph schema and an example query.

Execute a single SELECT (or WITH ... SELECT) against the graph. Must reference one of your caller_user_ids or tracked_lp_ids — otherwise rejected. INSERT / UPDATE / DELETE / DDL are blocked. Row cap 1000; statement timeout enforced.

Run a custom query: people who engaged with at least 3 of my posts in the last 60 days.

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

How many credits do I have left?

Given an MCP tool name, return its credit cost so you can preview an action before running it. Returns { tool_name, cost, balance, sufficient }.

What will map_constellation cost me on Acme?

Recent credit_ledger transactions for the authenticated user. Filter by tool, reason, or date range. Paginated.