pro.particle/particle-pro
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Publisher-provided description
Podcast intelligence for agents: transcripts, clips, speaker diarization, mention tracking.
Summary by lookupd
Lets agents search and track podcast transcripts, mentions of people or companies, and speaker data, and set up email alerts for new…
Install
Claude Code, remote (streamable-http)
claude mcp add --transport http particle-pro https://mcp.particle.pro
Codex, remote (streamable-http)
codex mcp add particle-pro --url https://mcp.particle.pro
Cursor, remote (streamable-http) → .cursor/mcp.json
{
"mcpServers": {
"particle-pro": {
"url": "https://mcp.particle.pro"
}
}
}Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.
Tools (showing 30 of 39)
Publisher-provided text
particle_alert_createCreate 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=ENTparticle_alert_deleteDelete 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 retaiparticle_alert_getFetch a single alert's full configuration — title, kind, cadence, watched entities (with names), notification emails, and any active filters (languages, relevanparticle_alert_listList 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_mparticle_alert_list_matchesList 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 (witparticle_alert_previewPreview 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)particle_alert_updateUpdate an existing alert. Only the fields you pass change; the entities and notifications lists, when provided, replace the whole set (pass a single entity slugparticle_callDispatch any public Particle tool by name. Compatibility fallback for harnesses that block calling tools that weren't advertised on tools/list — every public Paparticle_catalogBrowse the full Particle tool catalog. Your tools/list shows only the default categories, but EVERY public Particle tool is callable by name regardless of whatparticle_company_getReturn a bundled profile for one company: identifiers (slug, ticker, domain, CIK, QID, linked entity), name, and description. Request optional sections via `inparticle_company_get_statement_characteristicsHow a company's people speak on podcasts, together, and how that moves over time: the share of their lines that are negative, neutral or positive; hedged, neutrparticle_company_list_peopleList the people at one company, leadership first, a page at a time: the chief executive, then founders, chairs and presidents, the rest of the C-suite, board meparticle_company_resolveResolve a company by free-text name, ticker, SEC CIK, Wikidata QID, or domain. Returns candidates with the agent-facing identifier (`slug`, falling back to `domparticle_entity_getOne knowledge-graph entity's profile: name, kind, description, and Wikipedia link. Use it to confirm what a slug from `particle_entity_resolve` actually refersparticle_entity_resolveResolve 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 `slparticle_expertise_getDescribe one occupation or field of research and, on request, who is booked under it: its parent, children and crosswalk by default; `include: ["top_guests"]` rparticle_expertise_resolveTurn free text into the occupation and field-of-research codes the speaker-expertise filters take. When a question restricts who is speaking by occupation, profparticle_person_getReturn a person's profile: name, current role, and bio, keyed by the canonical person slug from `particle_person_resolve`. Request optional sections via `incluparticle_person_get_statement_characteristicsHow a person speaks on podcasts, and how that moves over time: the share of their lines that are negative, neutral or positive; hedged, neutral or confident; vaparticle_person_resolveResolve a person by free-text name. Returns ranked candidates with the canonical person `slug` — the stable handle accepted by `particle_person_get`, by every `particle_podcast_compare_share_of_voiceCompare how two to five companies, people or entities are spoken of on podcasts, side by side: "how is NVIDIA spoken of vs AMD vs Intel?" in one call. Each subjparticle_podcast_find_mentionsFind dialogue lines where a specific person or company is named in podcast transcripts. ## Three response modes **`format="summary"` (default, wide scan).** Rparticle_podcast_get_entity_chartWhat is trending on podcasts: Particle's daily Trends charts, which rank the entities (people, shows, films, games, books, brands, athletes, teams) that the mosparticle_podcast_get_episodeReturn a bundled overview of one podcast episode: title, podcast, speakers (with entity slugs), top mentioned entities, and segment/clip counts. By default theparticle_podcast_get_episode_timeseriesTime-bucketed episode counts — the purpose-built answer to "how often is X discussed over time". Counts episodes matching the same filters as `particle_podcast_particle_podcast_get_guestA guest's podcast-appearance profile: lifetime stats (appearances, distinct podcasts, first/last appearance) plus their most frequent podcasts. Guests are peoplparticle_podcast_get_mention_trendsHow a person's, company's or entity's podcast mentions are moving, for tracking it week over week. To find what is rising across all podcasts rather than trackparticle_podcast_get_rankingsPodcast chart rankings from Apple Podcasts and Spotify, in four modes: - `chart` (default): the current chart for a source/country/category slot, or — with `pparticle_podcast_get_share_of_voiceSplit 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 "whparticle_podcast_get_transcription_requestRead where your organization's transcription request stands, by request_id or by the episode's episode_slug. Free: this is how to wait for a transcription that
Details
- Version: 1.0.0
- Transports: streamable-http
- Uptime (7 days): 100%
- Median latency: 530 ms
- First indexed:
- Last seen in registry:
- Website: https://docs.particle.pro/mcp
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