MCP server for Atlassian Confluence Data Center - access and manage content
Niche — Editorial Intelligence is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Find the stories worth writing about: discover emerging stories, rank the angle, draft from sources.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http niche-editorial-intelligence-mcp https://api.nicheangle.com/mcp
# 2 — ask your agent for something these tools do
# niche_signal_scan, niche_intelligence_query, niche_session_state and 5 more
Niche — Editorial Intelligence costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it.
claude mcp add --scope user --transport http niche-editorial-intelligence-mcp https://api.nicheangle.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
8 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
Scan a niche you describe, right now (Pro). Returns a ranked, sourced slate of the stories people in that field are talking about, each with its independent-source count after syndicated copies are merged, the outlets, and why it matters. For a ready-made briefing use niche_feed_read instead; it is free and instant. Poll niche_session_state with the returned session_id until status is cp1_awaiting
| Parameter | Type | Required | Notes |
|---|---|---|---|
| niche | string | yes | Niche / beat description (2-200 chars). Specific is better. |
| recency | string | no | Optional recency window that constrains discovery to fresh sources. One of '24h' | 'week' | 'month' | 'quarter' | 'year' (aliases: 'today'/'day'→24h, 'this week'→week, etc.). Use '24h' for 'today only |
| recency_strict | boolean | no | When true, recency is a hard cutoff: sources outside the window are dropped before clustering, so 'nothing older than yesterday' is honored exactly. Default false: the window is a strong bias but ol |
| source_quality | string | no | How aggressively to filter the slate on source quality (niche-relative; never penalizes a small publication that is the authority for the niche). • strict: drop uncorroborated single-source silos th |
| density | string | no | How tightly to pack visual formats (carousels especially). • minimal: split a dense argument across more, shorter slides; favors skimmability. • balanced (default): the standard per-slide caps. |
| target_outputs | array | no | Output cells to generate (platform×content_type matrix). Each cell is a 'platform:content_type' string or a cross-platform content type. Valid cells: • linkedin:text_post: short LinkedIn post (text |
| target_platforms | array | no | Optional. A flat platform list (linkedin, linkedin_carousel, twitter, longform, instagram), coerced into target_outputs cells. Prefer target_outputs. |
| brand_id | string | no | Binds this brand's voice, colors, offer, and CTA to the piece. Omit to use your default brand; on a multi-brand account pass the slug explicitly so a post about one product is not bound to another bra |
| profile_overrides | object | no | Optional. Deep-merge these overrides onto the persisted profile for this run only. Use case: same brand, different register for a specific piece (e.g. a product-launch voice over an editorial one). Re |
| thinking_budget | string | no | Agent-side polling control. A full editorial workflow is structurally 15-20 tool calls (scan, poll, poll, poll, pick, poll, pick, poll, read). Use this to tune how many of those calls collapse into si |
| idempotency_key | string | no | Optional. A stable key for this logical scan: a retry with the same key reuses the original run instead of starting (and billing) a second. Even without it, an identical scan fired while one is still |
| estimate_only | boolean | no | When true, return the discovery credit cost without starting a run or holding a reservation. Use it to quote a price before committing. |
Ask an analyst-shaped question over a fresh scan of a niche (Pro): 'the biggest developments this week', 'what is emerging', 'where money is moving'. Returns the sourced slate plus a short grounded synthesis as one answer. Every claim carries its sources.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| subject | string | yes | The subject/space to investigate (2-200 chars). Specific is better. |
| count | integer | no | How many developments / narratives to return (3-15). Default ~5-10. |
| window | string | no | Recency window: '24h' | 'week' | 'month' | 'quarter' | 'year'. 'this week' maps to 'week'. Overrides the niche's default recency. A strong bias by default; pair with recency_strict for a hard cutoff. |
| recency_strict | boolean | no | When true, window is a hard cutoff (out-of-window sources dropped before clustering) so 'nothing older than yesterday' is exact. Default false (bias only). Strict returns fewer, higher-confidence st |
| source_quality | string | no | Source-quality filter (niche-relative). 'strict' drops uncorroborated single-source silos that aren't primary/official or a niche authority, for high-trust answers only. 'balanced' (default) down-weig |
| lens | string | no | Ranking posture. 'mainstream' (default) = authority-weighted. 'emerging' = inverts saturation to surface low-coverage, pre-mainstream signal. 'investment' = lifts stories carrying funding/raise/round/ |
| synthesis | string | no | 'narratives' = N non-obvious publishable threads across the slate. 'patterns' = the named movement (pairs with lens:'investment'). 'none' (default) = ranked slate only, no synthesis. |
| platform | string | no | Optional publish target (linkedin / x / instagram) that shapes each narrative's publish_hook. |
| target_outputs | array | no | Optional. The draft cells produced if you later draft a narrative into content (same cell list as niche_signal_scan, e.g. ['linkedin:image_post', 'x:thread']). Without this, a draft defaults to a sing |
| brand_id | string | no | Binds this brand's voice, colors, offer, and CTA to the piece. Omit to use your default brand; on a multi-brand account pass the slug explicitly so a post about one product is not bound to another bra |
| idempotency_key | string | no | Optional. Stable key so a retry reuses the original run instead of billing a second; an identical query fired while one is still running is auto-deduped regardless. |
Read the current state of a scan: status, the ranked stories with their sources and independent-source counts, and any angles already proposed. Poll this after niche_signal_scan or niche_intelligence_query until the slate is ready.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| session_id | string | yes | session_id from niche_signal_scan. |
| view | string | no | status (lean): a few-hundred-byte control envelope of status, phase, picked ids, content_versions (per-section change counters), counts, output_ids, cost, and next_step. Use this for the poll |
| include_unpicked | boolean | no | When true, return the full candidate set even after picks have been made. Default false (sparse: only the picked story / angle come back). Meaningful only with view='full'; ignored in view='status' (t |
| wait_until | string | no | What the wait long-poll resolves on. change (default): any status change vs since_status, a reached checkpoint, or a status-less change (synthesis fill, render completion, new output). `checkpoint |
| wait_for | string | no | Alias for wait_until (same values and semantics). Use either; if both are set, wait_until wins. An unrecognized value is rejected (not silently ignored), and it only takes effect with wait > 0. |
| wait | integer | no | Long-poll for up to N seconds (0-30) waiting for the session state to change. Returns immediately if the state already differs from since_status (or if the session is awaiting a checkpoint / complet |
| since_status | string | no | Used with wait (wait_until='change'). The status the caller last saw; the wait returns as soon as session.status differs. If unset, any state-change event wakes the wait. Note the pipeline has paire |
| include_status_glossary | boolean | no | When true, response includes status_glossary[], the full 17-status state-machine descriptor list with phase, hint, and actionable (whether a wait_until='checkpoint' wakes for it) per status. Usefu |
Angles on one story (Pro): up to a few distinct stances a reader could take, each with a hook, the take, and the sources that support it. Pass the session_id from a scan and a story_id from its slate. Nothing is written for you; the angles are starting points.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| session_id | string | yes | — |
| story_id | string | yes | id from niche_session_state.stories[].id |
| regenerate | boolean | no | Generate a fresh set of angles on the locked story instead of returning the existing set. Requires the story locked and angles ready. Capped per session; metered like a generation. |
| lens | string | no | Optional steer (e.g. 'more contrarian', 'lead with the data'). Read on a regenerate run, and as a fallback steer for a custom_framing draft when custom_framing is set without its own wording. |
| custom_framing | string | no | Optional. Your own angle in a sentence ('the contrarian take: X is overhyped because Y'). When set, drafts that angle on the real story (provenance preserved) instead of returning the proposed five. R |
List your recent scans: id, the niche you described, status and timestamps. Use it to find a session_id you no longer have.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| limit | integer | no | Max sessions to return (default 25, max 100). |
| offset | integer | no | Skip this many sessions before returning, for paging through history. Default 0. |
| status_filter | string | no | Optional status filter, e.g. 'cp1_awaiting_story', 'cp3_awaiting_review', 'complete', 'failed'. Omit for all. |
| niche_contains | string | no | Optional case-insensitive substring filter on the niche input, to find sessions on a topic (e.g. 'walnut'). |
| brand_id | string | no | Optional filter to sessions tied to one brand profile slot. |
| include_outputs | boolean | no | When true, also returns recent_outputs: the account's produced posts/images/reels across all sessions, newest first, each with its session_id, cell, a reachable asset_url, and publish state. Use it |
Cancel a scan that is still running.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| session_id | string | yes | — |
| reason | string | no | Optional. Surfaced as session.error_message. |
Orient in one read-only call: your plan (Free or Pro), the tools this server serves, and the endpoint. Call it first if you are unsure what is available.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| include_test | boolean | no | Include scratch and experimental brand slots in available_brands. Default false so only real brands are listed and an agent does not bind a throwaway by accident. |
| include_all_brands | boolean | no | List every brand on the account in available_brands. Default false: only the active brand is returned (with other_brand_count) so a single orienting call does not enumerate the whole roster. Set true |
| include_brand_assets | boolean | no | Include usable brand asset URLs (logo, wordmark) in brand_palette. Default false: the palette returns colours and fonts plus logo_available / wordmark_available booleans, and the renderer fetches the |
Read a niche's daily edition: the stories independent sources back up, each with its independent-source count (after syndicated copies are merged), the outlets and URLs, a one-line why-it-matters, new-vs-continuing status, plus what moved, where the sources disagree and what to watch. Editions are built once a day per niche and shared, so this read is instant and free. Pass a niche slug from the p
| Parameter | Type | Required | Notes |
|---|---|---|---|
| niche | string | yes | Niche slug, e.g. financial-advisors. |
| date | string | no | Optional edition date, YYYY-MM-DD. Default: the latest edition. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Niche — Editorial Intelligence or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither: the repository linked on this page is where this record was collected from, not a copy of what the address serves, so it is not graded in its place. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.4.0.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish Niche — Editorial Intelligence can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.