Connect-MCP

pro.particle/particle-pro

pro.particle/particle-pro · v1.0.0

Podcast intelligence for agents: transcripts, clips, speaker diarization, mention tracking.

MCPremoteno credentialsAnalytics & marketing

Reported outcomes

No reports yet.

Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 32 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

B 88/100

What it does: 32 tools · 27 read, 5 write (incl. delete/pay) · E-commerce

Test call particle_alert_list: needs a key: HTTP 401 (632 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: +10
  • Read/write annotations: +5
  • Safe test call: +8
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://mcp.particle.pro

Tools

32 tools listed at last check
  • particle_alert_create Create an alert that watches a single entity and sets up recurring email delivery to external recipients whenever it is mentioned on a podcast episode (kind=ENTITY_MENTION) or appears as a speaker (kind=PODCAST_SPEAKER). Pass the entity slug from a resolve tool — resolve a name with particle_entity_
  • particle_alert_delete Delete an alert. This is a soft delete: the alert stops producing matches and disappears from particle_alert_list, but its past matches and deliveries are retained for audit. To pause an alert instead of removing it, use particle_alert_update with is_active=false. Only the alert's creator or an org
  • particle_alert_get Fetch a single alert's full configuration — title, kind, cadence, watched entities (with names), notification emails, and any active filters (languages, relevance, source_popularity, speaker_roles). The `filters` section is omitted when the alert carries none. By default the response is just the con
  • particle_alert_list List the alerts in your project, newest first. Each entry carries the alert `id` — feed it into particle_alert_get for full configuration, particle_alert_list_matches for what it has caught, or particle_alert_update / particle_alert_delete to manage it.
  • particle_alert_list_matches List the matches an alert has caught, newest first — the payoff of an alert. Each match names the watched entity and the podcast episode it was detected on (with episode and podcast slugs that feed particle_podcast_get_episode and particle_podcast_resolve). Use view=detailed to include the transcrip
  • particle_alert_preview Preview how often an alert would fire BEFORE creating it. Sweeps the past N days (default 7, max 30) for the given entity (or keyword, for kind=KEYWORD_MENTION) and returns the total match count, a per-day breakdown, and a small sample of the most recent matches with episode context. Use this to siz
  • particle_alert_update Update an existing alert. Only the fields you pass change; the entities and notifications lists, when provided, replace the whole set (pass a single entity slug from the resolve tools, same as particle_alert_create — an alert watches exactly one entity). A KEYWORD_MENTION alert takes a new `keyword`
  • particle_call Dispatch any public Particle tool by name. Compatibility fallback for harnesses that block calling tools that weren't advertised on tools/list — every public Particle tool is executable by name, so prefer calling discovered tools directly when your harness allows it. Identical metering and plan gati
  • particle_catalog Browse the full Particle tool catalog. Your tools/list shows only the default categories, but EVERY public Particle tool is callable by name regardless of what was advertised — call this tool to discover the rest. Without arguments: the categorical menu (every category with tool names, one-line sum
  • particle_company_get Return a bundled profile for one company: identifiers (slug, ticker, domain, CIK, QID, linked entity), name, and description. Request optional sections via `include`: 'people' for current leadership and notable people (person slugs feed `particle_person_get`), 'products' for the three-level product
  • particle_company_resolve Resolve a company by free-text name, ticker, SEC CIK, Wikidata QID, or domain. Returns candidates with the agent-facing identifier (`slug`, falling back to `domain` or `id`) you should pass to `particle_company_get`, `particle_company_get_podcast_ad_presence`, `particle_podcast_find_mentions` (as `c
  • particle_entity_get One knowledge-graph entity's profile: name, kind, description, and Wikipedia link. Use it to confirm what a slug from `particle_entity_resolve` actually refers to — especially for the long tail that isn't a person or company (places, organizations, events, products, concepts). When the entity is a
  • particle_entity_resolve Resolve any named thing — person, company, place, or other entity — by free-text name in one union search. Each candidate carries a `type` and the canonical `slug` for that type: - `person`: the canonical person slug. Feed it into `particle_person_get`, every `person_slug` parameter (`particle_pod
  • particle_expertise_get Describe one occupation or field of research and, on request, who is booked under it: its parent, children and crosswalk by default; `include: ["top_guests"]` ranks the guests listed under it by podcast appearances in a window (default the last 30 days, at most 90), and `include: ["top_podcasts"]` r
  • particle_expertise_resolve Turn free text into the occupation and field-of-research codes the speaker-expertise filters take. Call it first whenever a question restricts who is speaking by occupation, profession, credentials or industry ("doctors", "medical professionals", "economists", "people in finance", "lawyers") — the f
  • particle_person_get Return a person's profile: name, current role, and bio, keyed by the canonical person slug from `particle_person_resolve`. Request optional sections via `include`: 'external_links' for LinkedIn/Wikipedia/social profiles, 'podcast_appearances' for their most recent podcast appearances (episode and p
  • particle_person_resolve Resolve a person by free-text name. Returns ranked candidates with the canonical person `slug` — the stable handle accepted by `particle_person_get`, by every `person_slug` parameter (`particle_podcast_find_mentions`, `particle_podcast_search_transcripts`, `particle_podcast_list_episodes`), and by `
  • particle_podcast_find_mentions Find dialogue lines where a specific person or company is named in podcast transcripts. ## Three response modes **`format="summary"` (default, wide scan).** Returns up to `limit` episodes (reverse-chronological), each with metadata + the first 10 mention-only lines (just the lines naming the entit
  • particle_podcast_get_episode Return a bundled overview of one podcast episode: title, podcast, speakers (with entity slugs), top mentioned entities, and segment/clip counts. By default the response is lean — counts plus the top mentioned entities. Request optional sections via `include`: 'segments' for the structural outline w
  • particle_podcast_get_episode_timeseries Time-bucketed episode counts — the purpose-built answer to "how often is X discussed over time". Counts episodes matching the same filters as `particle_podcast_list_episodes` (person, company, entity, podcast, keyword, language, duration, transcript availability) per day, week, or month, plus range
  • particle_podcast_get_guest A guest's podcast-appearance profile: lifetime stats (appearances, distinct podcasts, first/last appearance) plus their most frequent podcasts. Guests are people — the same slug works with `particle_person_get` for the biographical profile. Request optional sections via `include`: 'appearances' for
  • particle_podcast_get_mention_trends How a person's, company's or entity's podcast mentions are moving, for tracking it week over week. Two modes: - `compare` (default): which podcasts mentioned it in a window (default the last 7 days, at most 90) and how each compares with the equal-length window before it: episode and mention line
  • particle_podcast_get_rankings Podcast chart rankings from Apple Podcasts and Spotify, in four modes: - `chart` (default): the current chart for a source/country/category slot, or — with `podcast_slug` — every chart slot that podcast currently holds. - `movers`: the biggest rank changes over `window_days` (risers, fallers, de
  • particle_podcast_get_share_of_voice Split a person's, company's or entity's podcast mentions by who said them: the speakers' occupations (SOC 2018) or fields of research (ANZSRC 2020). Answers "who is talking about NVIDIA — investors, engineers, journalists?" in one call: each group's mention lines, share, distinct speakers and episod
  • particle_podcast_list_clips Browse AI-extracted highlight clips across the catalog, ranked by engagement potential — the shareable moments. Filter by podcast, episode, clip type (FUNNY, CONTROVERSIAL, INSIGHTFUL, ...), minimum engagement score, or speaker — `speaker` takes a person slug and returns only clips of that person ta
  • particle_podcast_list_episodes List episodes across the catalog with rich filters: by podcast, person, company, language, date range, duration, or transcript availability. By default it lists the episodes we have ingested. Pass `transcript_status` with `podcast_slug` to reach the show's back catalogue — older episodes discovered
  • particle_podcast_list_guests Browse podcast guests across the catalog, in two opinionated modes: - `directory` (default): the guest directory ranked by lifetime appearances (guests with 2+ appearances). - `trends`: who's making the rounds right now — guests with appearances on 2+ distinct podcasts in the last 30 days, which
  • particle_podcast_list_related List the shows most related to a podcast, best first — "shows like this show". Each result carries the related show's slug, a calibrated score in (0,1], and a coarse band (strong: same beat and audience; moderate: overlapping subject or audience; weak: a loose connection) to branch on. Add `include:
  • particle_podcast_list_related_episodes Episodes from OTHER shows that cover the same story or subject as a given episode, best first — a live nearest-neighbour search over episode content, reranked on shared salient entities, shared topics and a shared news story. Each row carries a calibrated score and a band (strong / moderate / weak)
  • particle_podcast_resolve Find a podcast by free-text title, exact slug, iTunes ID, or RSS feed URL. Returns slug, title, episode count, bias, and the top recurring speakers (with entity slugs). Use the slug as the agent-facing handle to feed into other podcast tools (`particle_podcast_find_mentions`, `particle_podcast_list_
  • particle_podcast_search_transcripts Search the podcast catalog by what is said in episodes — by meaning (`semantic_search`), by exact phrase (`keyword_search`), or both at once (hybrid ranking). This is THE way to retrieve relevant dialogue, segments, and clips: each result is one segment of one episode with bounded transcript windows
  • particle_topic_browse Navigate the topic taxonomy. Without `parent_slug`, returns the top-level roots (Politics, Business, Technology, etc.). With `parent_slug` set, returns the direct children of that topic. Topic slugs use a `parent/child` convention (e.g. `politics/elections`) and let agents browse the hierarchy to fi

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