MCP server

Particle Pro Official

pro.particle/particle-pro

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website

At a glance

Type

MCP server

Publisher

particle.pro (verified by the MCP Registry)

Status

Working at last check

Tools

32

Token cost

About 34,128 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http particle-pro https://mcp.particle.pro

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.particle-pro]
url = "https://mcp.particle.pro"

Gemini CLI

{"mcpServers":{"particle-pro":{"httpUrl":"https://mcp.particle.pro"}}}

Cursor

{"mcpServers":{"particle-pro":{"url":"https://mcp.particle.pro"}}}

VS Code

{"servers":{"particle-pro":{"type":"http","url":"https://mcp.particle.pro"}}}

Antigravity

agy mcp add particle-pro https://mcp.particle.pro

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"particle-pro","server_url":"https://mcp.particle.pro","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"particle-pro","server_url":"https://mcp.particle.pro"}

Tools

• particle_alert_create ~2171 tokens
  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 Deletes data · ~172 tokens
  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 ~444 tokens
  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 ~258 tokens
  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 ~476 tokens
  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 Sends messages · ~1326 tokens
  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 ~1552 tokens
  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 ~261 tokens
  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 ~796 tokens
  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 ~521 tokens
  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 ~386 tokens
  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 ~356 tokens
  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 ~513 tokens
  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 ~947 tokens
  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 ~906 tokens
  Turn free text into the occupation and field-of-research codes the speaker-expertise filters take. When a question restricts who is speaking by occupation, profession, credentials or industry ("doctors", "medical professionals", "economists", "people in finance", "lawyers"), the filters, not search
• particle_person_get ~695 tokens
  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 ~397 tokens
  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 ~2060 tokens
  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 ~788 tokens
  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 ~1943 tokens
  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 ~834 tokens
  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 ~2394 tokens
  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 ~1234 tokens
  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, en
• particle_podcast_get_share_of_voice ~1331 tokens
  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 ~774 tokens
  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 ~1665 tokens
  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 ~1437 tokens
  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 ~1178 tokens
  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 ~770 tokens
  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 ~2025 tokens
  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 ~2939 tokens
  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 Browses the web · ~579 tokens
  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

Browse

• Email
• Social media
• Advertising
• Hiring and jobs

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