BrunoSan Robotics Intelligence MCP — 12 Tools. burst_score. novelty

01 robotics_daily_brief

Complete daily intelligence brief as structured JSON. 1,500+ articles compressed to signal: executive summary, market signals, novelty alerts, segment trends, top stories with Gemini-generated summaries, top players by mention density, research radar, and 30-day archive. Everything in one call.

robotics_daily_brief(
date="2026-03-30",
sections=["headline","signals","novelty"],
api_key="your-key"
)
→ intelligence_headline, executive_summary
→ market_signals[], novelty_alerts[]
→ segment_trends{}, top_stories[]

→"What is the most important robotics development today — give me the full brief"

→"Summarize the robotics intelligence brief from March 28th for my board update"

→"Pull today's robotics brief — only signals and novelty sections, skip the archive"

02 robotics_top_clusters

Top signal clusters ranked by intel_score for any date. Filterable by segment and event type. Every result includes the full score breakdown: event_value + segment_bonus + burst_bonus + novelty_bonus. Not "most shared" — deterministic formula. Auditable.

robotics_top_clusters(
date="2026-03-30",
segment="humanoid",
min_score=0.85,
limit=10,
api_key="your-key"
)
→ clusters[] with intel_score breakdown
→ burst_score, novelty_score per cluster

→"Show me the top 5 highest-scored robotics signals today — with full score breakdown"

→"What are the most important humanoid robotics events this week, scored above 0.85?"

→"Find all defense robotics funding signals with burst_score above 3.0 today"

03 robotics_novelty_alerts ★ Exclusive

Signals BrunoSan has NEVER seen before — novelty_score = 1.0. The 30-day lookback tracks every entity::event_type combination. novelty=1.0 means this company has never appeared with this event type in 30 days. The Early Warning Layer. No other system has this.

robotics_novelty_alerts(
date="2026-03-30",
segment="humanoid",
api_key="your-key"
)
→ 75 alerts today with novelty_score=1.0
→ "Coco Robotics — first Safety Incident"
→ "Shield AI — first Funding Round seen"

→"Which robotics companies raised money for the first time ever in our database today?"

→"Show me all safety incidents we have never seen before — genuine first-time alerts"

→"Alert my agent when any humanoid robot company triggers a novelty=1.0 deployment event"

04 robotics_segment_radar ★ Exclusive

Real-time pulse across all 11 robotics segments. burst_avg × novelty_avg reveals four momentum patterns: BREAKING_NEW_GROUND · ACCELERATING_KNOWN_PATTERN · STEALTH_MOVE · ESTABLISHED_CYCLE. Segments: humanoid · industrial · amr · surgical · defense · drone · agricultural · consumer · cobot · space · exoskeleton.

robotics_segment_radar(
days=7,
api_key="your-key"
)
→ humanoid: burst_avg=1.60, novelty_avg=0.82
→ momentum: BREAKING_NEW_GROUND
→ amr: burst_avg=1.87 — fastest segment

→"Which robotics segment is generating the highest velocity signals right now?"

→"Compare humanoid vs AMR momentum over the last 7 days — burst and novelty"

→"Which segments are in BREAKING_NEW_GROUND mode this week — unprecedented AND fast?"

05 robotics_funding_flow

Capital flow intelligence in robotics — where is the money going? Aggregates deal_value_usd by segment, region, and round type. Total funding, top deals, by-segment breakdown. The VC-grade capital intelligence layer. 169 sources cross-verified. $41.8B identified in a single pipeline run.

robotics_funding_flow(
days=30,
segment="humanoid",
event_type="funding_round",
api_key="your-key"
)
→ deal_count: 18 rounds in 30 days
→ top deals ranked by deal_value_usd
→ by_segment{} capital allocation

→"How much capital was deployed into robotics this month — broken down by segment?"

→"Which robotics segment attracted the most VC money in the last 30 days?"

→"Show me all defense robotics acquisitions in the last 90 days with deal values"

06 robotics_entity_intel

Deep intelligence profile of any robotics company, product, or lab. Complete signal history: all cluster appearances, event type distribution, signal velocity over time, novelty history, total funding identified, segment, and geographic region. Not just articles — structured signal history.

robotics_entity_intel(
entity_name="Figure AI",
days=30,
api_key="your-key"
)
→ registry_match{segment, hq_region}
→ signal_count, event_distribution{}
→ recent_signals[] with event_types

→"What has Shield AI been doing in the last 30 days — complete intelligence profile"

→"Give me the full signal history for Boston Dynamics — every event type, every cluster"

→"How many times has Unitree Robotics appeared in our system this month, and in which contexts?"

07 robotics_search

Full-text search across all robotics articles with structured enrichment. Every result is AP2-enriched: relevance gate → structural extraction → entity matching. Filterable by segment, event_type, and confidence. Not a keyword search — a signal-enriched corpus of 1,500+ daily articles.

robotics_search(
query="physical AI deployment hospital",
segment="surgical",
event_type="deployment",
days=14,
api_key="your-key"
)
→ results[] with event_type, segment
→ confidence score per result

→"Find all articles mentioning physical AI and humanoid deployment together — last 7 days"

→"Search for anything about robot recalls or safety incidents in surgical robotics"

→"Find all robotics signals mentioning NVIDIA Isaac or GTC 2026 — with confidence scores"

08 robotics_burst_signals ★ Exclusive

Fastest-spreading robotics signals — what's going viral right now. burst_score = article_count × source_diversity ÷ hours. burst > 5 = viral signal. burst > 10 = something just broke. The velocity layer. Most systems show you what happened. BrunoSan shows what's happening RIGHT NOW and how fast.

robotics_burst_signals(
min_burst=3.0,
date="2026-03-30",
api_key="your-key"
)
→ Embodied AI Deployment: burst=12.0 🔥
→ Physical AI Product Launch: burst=6.0
→ NEO Product Launch: burst=4.0

→"What robotics story is spreading fastest right now — show burst scores above 3.0"

→"Alert me to any signal with burst_score above 5 in defense robotics today"

→"Which humanoid robotics event is going viral right now — multiple sources, short time window?"

09 robotics_research_radar

Scientific research papers from the daily robotics stack. Filters event_type=research_paper with arxiv_id, paper_venue (ICRA, IROS, Nature, arXiv, RSS), robot_segment, and confidence. 169 sources include arXiv RSS, IEEE Xplore, MIT CSAIL, Stanford, CMU, Oxford, ETH Zürich, KAIST, and lab blogs.

robotics_research_radar(
days=7,
segment="humanoid",
venue="ICRA",
api_key="your-key"
)
→ papers[] with arxiv_id + arxiv_url
→ paper_venue, segment, confidence
→ source_domain: arxiv.org, ieee.org

→"What robotics papers came out this week from Stanford, MIT, or CMU?"

→"Find recent arXiv papers on sim-to-real transfer for humanoid locomotion — last 14 days"

→"Which research lab published the most AMR papers this month? Rank by paper count"

10 robotics_competitive_landscape ★ Exclusive

Signal density ranking — who dominates robotics intelligence right now? Ranks companies by mention_count × cluster_count. Signal density ≠ PR activity: it measures cross-source verification. A company in 8 independent sources = real signal. Also reveals who is SILENT — known companies with zero signals.

robotics_competitive_landscape(
segment="humanoid",
days=30,
limit=15,
api_key="your-key"
)
→ top_companies[] ranked by mention_count
→ cluster_count per company
→ rising_entities[] — promoted candidates

→"Who are the top 10 most active humanoid robotics companies by signal density right now?"

→"Is Boston Dynamics losing signal density to Figure AI or Unitree this month?"

→"Which Chinese robotics companies are generating the most intelligence signals in our system?"

11 robotics_geopolitical ★ Exclusive

Robotics intelligence through the geopolitical lens. Tracks the US-EU-China technology rivalry: regulation signals, cross-border acquisitions, state-backed deployments, export controls. 169 sources include US Senate feeds, EU regulatory feeds, NDAA trackers, and procurement databases — not just tech press.

robotics_geopolitical(
days=14,
region="us",
event_type="regulation",
api_key="your-key"
)
→ geopolitical_signals[] by region
→ region_distribution{us, eu, cn}
→ Senate bills, NDAA signals, EU rulings

→"What US Senate regulation signals about robotics appeared this week — NDAA, export controls?"

→"Are Chinese humanoid robot companies entering US markets? Show me the acquisition signals"

→"What is the EU doing in robotics regulation right now — AI Act implications, safety standards?"

12 robotics_safety_monitor ★ Exclusive

Robotics safety intelligence — accidents, recalls, safety incidents. Always highest priority in BrunoSan: accident EVENT_VALUE=0.88, recall=0.90 — both above funding_rounds. novelty_score=1.0 means this is the FIRST time we've seen this incident type from this entity. Strategic advantage: early detection reshapes deployment decisions.

robotics_safety_monitor(
days=30,
segment="amr",
novelty_only=True,
api_key="your-key"
)
→ incidents[] ranked by novelty + burst
→ never_seen_before: count of novelty=1.0
→ priority_note: EVENT_VALUE=0.88-0.90

→"Have there been any robot accidents or recalls in the last 30 days? Show novelty alerts first"

→"Show me all safety incidents involving delivery robots or AMRs this month"

→"Alert me the first time any humanoid robot triggers a safety incident in our system"

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