BIGHUB

NPM · @BIGHUB/BIGHUB-MCP · SCANNED AUG 3

Decision learning for AI agent actions. Evaluate, score, decide, and learn from outcomes.

Available components

+16 this week 59 59 Trust /100

Trust breakdown (6 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →

Supply Chain Security86

No malware found by supply-chain analysis.Pass
Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
No install/post-install scripts declared.Pass
Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial

Provenance & Transparency45

Source repository is publicly reachable at the declared URL. View diagnostics → Pass
Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
Clear OSI-approved license (MIT).Pass
Actively maintained (last published 131 days ago).Pass
Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail

Schema Quality & AI Usability37

AI-judged instruction clarity (poor).Fail
Tool/resource definitions use about 5931 tokens (~47/item across 125 items; 125 tools + 0 resources), lean.Pass
Usage-examples check failed: none of the tools include examples. See how to fix → Fail

Stability & Change Management27

Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial

Tool Coverage75

100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
11% of tool parameters carry a description.Partial
Structured output schemas are declared (64% of tools); any adoption earns full credit.Pass

Capabilities100

Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass

Install

Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.

npm · @bighub/bighub-mcp

Claude Codex opencode OpenClaw Hermes Other

# add to Claude Code

claude mcp add io-bighub-mcp -- npx -y @bighub/bighub-mcp

# add to Codex CLI

codex mcp add io-bighub-mcp -- npx -y @bighub/bighub-mcp

// opencode.json

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "io-bighub-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@bighub/bighub-mcp"
      ],
      "enabled": true
    }
  }
}

# add to OpenClaw

openclaw mcp add io-bighub-mcp --command npx --arg -y --arg @bighub/bighub-mcp

# ~/.hermes/config.yaml

mcp_servers:
  io-bighub-mcp:
    command: "npx"
    args: ["-y", "@bighub/bighub-mcp"]

// mcp.json

{
  "mcpServers": {
    "io-bighub-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@bighub/bighub-mcp"
      ]
    }
  }
}

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

3 Aug 26 +1

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.
2 Aug 26 +10
- Known CVEs: unverified → partial ▲ security
- Stability: unverified → 0.23 ▲ functional
- Dependency health: unverified → partial ▲ functional
1 Aug 26 +15
- Malware scan: unverified → pass ▲ security
31 Jul 26 −3
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
30 Jul 26 −30
- Malware scan: pass → unverified ▼ security
- Known CVEs: partial → unverified ▼ security
- Dependency health: partial → unverified ▼ functional
29 Jul 26 +23
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Schema quality: unverified → poor ▲ functional
- Maintenance: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- License: unverified → pass ▲ functional
- Licence: MIT functional
27 Jul 26 43

First indexed and scored.

Show 2 earlier entries Hide earlier entries

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 3 Aug 2026 · Analysed npm/@bighub/[email protected]

Provenance none

Ecosystem: npm · Outcome: none

Dependencies 94 packages

94 packages in the resolved dependency tree · 94 deprecated · 29 stale.

The dependency tree was only partially resolved, so these counts may be incomplete.

MCP tools — 125 exposed · ~5,931 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability.

Tool Tokens

bighub_constraints_update ~43

Update a rule by rule_id.

Input Output Examples

Name	Type	Req	Description
idempotency_key	string	—	—
payload	object	yes	—
rule_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_constraints_validate ~23

Validate a rule payload.

Input Output Examples

Name	Type	Req	Description
payload	object	yes	—

No output schema declared.

No examples provided.

bighub_constraints_validate_dry_run ~28

Dry-run validate a rule payload.

Input Output Examples

Name	Type	Req	Description
payload	object	yes	—

No output schema declared.

No examples provided.

bighub_constraints_versions ~33

List historical versions for a rule.

Input Output Examples

Name	Type	Req	Description
limit	integer	—	—
rule_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_events_list ~53

List event stream entries.

Input Output Examples

Name	Type	Req	Description
event_type	string	—	—
limit	integer	—	—
offset	integer	—	—
rule_id	string	—	—
severity	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_events_stats ~16

Get aggregate event stats.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

bighub_features_compare ~75

Compare two feature snapshots or cached vectors. Returns changed features with diffs.

Input Output Examples

Name	Type	Req	Description
case_id_a	string	—	—
case_id_b	string	—	—
changed_only	boolean	—	Only return features that differ
snapshot_id_a	string	—	—
snapshot_id_b	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_compute ~58

Compute decision features for a case.

Input Output Examples

Name	Type	Req	Description
advisory_data	object	—	—
case_data	object	yes	—
case_id	string	yes	—
org_id	string	yes	—
precedent_data	object	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_compute_batch ~34

Compute feature vectors for multiple cases in a single request (max 500).

Input Output Examples

Name	Type	Req	Description
cases	array	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_explain ~35

Explain computed features for a case.

Input Output Examples

Name	Type	Req	Description
case_id	string	yes	—
feature_key	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_export ~26

Export all features for a case.

Input Output Examples

Name	Type	Req	Description
case_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_export_batch ~33

Export flat feature dicts for multiple cases (max 500).

Input Output Examples

Name	Type	Req	Description
case_ids	array	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_get_snapshot ~27

Get a feature snapshot by ID.

Input Output Examples

Name	Type	Req	Description
snapshot_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_list_snapshots ~32

List feature snapshots.

Input Output Examples

Name	Type	Req	Description
case_id	string	—	—
tag	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_schema ~22

Get the feature schema (all defined features and types).

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

bighub_features_snapshot ~36

Create a versioned feature snapshot for a case.

Input Output Examples

Name	Type	Req	Description
case_id	string	yes	—
tag	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_features_stats ~16

Get feature layer statistics.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

bighub_http_request ~67

Low-level passthrough for any BIGHUB API endpoint.

Input Output Examples

Name	Type	Req	Description
body	—	—	—
headers	object	—	—
idempotency_key	string	—	—
method	string	yes	—
path	string	yes	—
query	object	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_adapters ~22

List available ingestion adapters and domain normalizers.

Input Output Examples

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_batch ~67

Ingest multiple real-world events in a single request (max 500). Events are processed through the same normalize → enrich → correlate → sync pipeline.

Input Output Examples

Name	Type	Req	Description
adapter	string	—	—
domain	string	—	—
events	array	yes	Raw event payloads

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_event ~398

Ingest a single real-world event into BIGHUB. Events flow through: normalize → enrich → correlate → sync. BIGHUB links the event to the correct decision lifecycle using any provided correlation key.

Input Output Examples

Name	Type	Req	Description
action	object	—	Action payload: {tool, action, arguments, value, target, domain}
adapter	string	—	—
case_id	string	—	Link to DecisionCase
context	object	—	Context: {risk_score, axes, environment, ...}
domain	string	—	—
entity_id	string	—	Entity being acted on
event_type	string	—	Event type: ACTION_PROPOSED, ACTION_EXECUTED, ACTION_BLOCKED, HUMAN_OVERRIDE, HUMAN_APPROVAL, HUMAN_REJECTION, OUTCOME_OBSERVED, OUTCOME_UPDATED, ROLLBACK_PERFORMED, CORRECTION_APPLIED, ESCALATION_TR…
execution	object	—	Execution result: {executed, status_code, error, ...}
external_ref	string	—	Your system's reference (e.g. order_id)
human_feedback	object	—	Human: {feedback_type, decision, reason, ...}
intent	object	—	Intent: {goal_summary, trigger_source, actor_type, ...}
outcome	object	—	Outcome: {status, description, revenue_impact, ...}
request_id	string	—	Link to BIGHUB decision (from /actions/evaluate response)
session_id	string	—	Session / conversation ID
tags	array	—	—
tenant_ref	string	—	Tenant-level reference
timestamp	string	—	ISO 8601 timestamp (defaults to now)
validation_id	string	—	Link to rule validation

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_lifecycle ~62

Get a specific decision lifecycle by correlation key.

Input Output Examples

Name	Type	Req	Description
case_id	string	—	—
entity_id	string	—	—
external_ref	string	—	—
request_id	string	—	—
tenant_ref	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_lifecycles ~44

List decision lifecycles with optional status filter.

Input Output Examples

Name	Type	Req	Description
limit	integer	—	—
status_filter	string	—	Filter by lifecycle status

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_pending ~27

List lifecycles awaiting outcome reconciliation.

Input Output Examples

Name	Type	Req	Description
limit	integer	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_reconcile ~91

Reconcile a late-arriving outcome with a previous decision. Use when the outcome arrives after the initial event was already ingested.

Input Output Examples

Name	Type	Req	Description
key_name	string	yes	Correlation key: request_id, case_id, external_ref, tenant_ref, or entity_id
key_value	string	yes	Value of the correlation key
outcome	object	yes	Outcome event payload to attach

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_stale ~45

List stale lifecycles that have not received an outcome within the expected timeframe.

Input Output Examples

Name	Type	Req	Description
limit	integer	—	—
stale_after_days	integer	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_ingest_stats ~28

Get organization-wide ingestion statistics (event counts, adapter breakdown, lifecycle status distribution).

Input Output Examples

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

bighub_insights_advise ~62

Get decision advisory for a proposed action based on learned patterns.

Input Output Examples

Name	Type	Req	Description
action	string	yes	—
actor_type	string	—	—
domain	string	yes	—
risk_band	string	—	—
tool	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_insights_learn ~20

Trigger pattern learning from accumulated cases.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

bighub_insights_patterns ~48

List detected decision patterns.

Input Output Examples

Name	Type	Req	Description
domain	string	—	—
min_severity	string	—	—
pattern_type	string	—	—
tool	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_insights_profile ~43

Get action quality profile for a tool/action/domain.

Input Output Examples

Name	Type	Req	Description
action	string	—	—
domain	string	—	—
tool	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_kill_switch_activate ~76

Activate global/domain kill switch. Requires a reason.

Input Output Examples

Name	Type	Req	Description
domain	string	—	Domain to target (when scope=domain)
reason	string	yes	Why the kill switch is being activated
rule_id	string	—	Specific rule to kill
scope	string	—	Scope: global or domain

No output schema declared.

No examples provided.

bighub_kill_switch_deactivate ~71

Deactivate kill switch by switch_id. Requires a reason.

Input Output Examples

Name	Type	Req	Description
domain	string	—	—
reason	string	yes	Why the kill switch is being deactivated
rule_id	string	—	—
scope	string	—	—
switch_id	string	yes	—

No output schema declared.

No examples provided.

bighub_kill_switch_status ~18

Read kill switch status.

Input Output Examples

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

bighub_learning_backfill ~57

Backfill learning artifacts from historical outcomes.

Input Output Examples

Name	Type	Req	Description
action_family	string	—	—
async_mode	boolean	—	—
domain	string	—	—
force	boolean	—	—
limit	integer	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_learning_recompute ~59

Trigger recomputation of learning artifacts for a scope.

Input Output Examples

Name	Type	Req	Description
action_family	string	—	—
async_mode	boolean	—	—
domain	string	—	—
force	boolean	—	—
limit	integer	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_learning_runs ~24

List recent learning pipeline runs.

Input Output Examples

Name	Type	Req	Description
limit	integer	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_learning_strategy ~19

Get current learning strategy version and configuration.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

bighub_outcomes_analytics ~38

Outcome analytics summary.

Input Output Examples

Name	Type	Req	Description
domain	string	—	—
since	string	—	—
until	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_get ~26

Get outcome by request_id.

Input Output Examples

Name	Type	Req	Description
request_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_get_by_case ~28

Get outcome by case_id.

Input Output Examples

Name	Type	Req	Description
case_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_get_by_validation ~28

Get outcome by validation_id.

Input Output Examples

Name	Type	Req	Description
validation_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_partner_view ~60

Self-contained partner/domain view: decisions evaluated, follow rate, positive after following, trend, by-action breakdown, sparse evidence pockets, and helped/missed examples.

Input Output Examples

Name	Type	Req	Description
domain	string	yes	The domain to generate the partner view for

No output schema declared.

No examples provided.

bighub_outcomes_pending ~35

List decisions still awaiting outcome reports.

Input Output Examples

Name	Type	Req	Description
limit	integer	—	—
min_age_hours	integer	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_recommendation_quality ~98

Recommendation quality analytics: follow rate, quadrants (followed+positive, followed+negative, ignored+positive, ignored+negative), breakdowns by domain/actor, and notable examples of BIGHUB helped / missed.

Input Output Examples

Name	Type	Req	Description
domain	string	—	Filter by domain
since	string	—	Start date (ISO 8601)
until	string	—	End date (ISO 8601)

No output schema declared.

No examples provided.

bighub_outcomes_report ~182

Report a real-world outcome linked to a decision.

Input Output Examples

Name	Type	Req	Description
actual_impact	object	—	—
case_id	string	—	—
correction_cost	number	—	—
correction_description	string	—	—
correction_needed	boolean	—	—
customer_impact_count	integer	—	—
description	string	—	—
details	object	—	—
observed_at	string	—	—
reported_by	string	—	—
request_id	string	—	—
revenue_impact	number	—	—
rollback_performed	boolean	—	—
status	string	yes	—
support_tickets_created	integer	—	—
tags	array	—	—
time_to_detect_s	number	—	—
time_to_resolve_s	number	—	—
validation_id	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_report_batch ~28

Batch report outcomes (max 100).

Input Output Examples

Name	Type	Req	Description
outcomes	array	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_outcomes_taxonomy ~18

Supported outcome status taxonomy.

Input Output Examples

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

bighub_outcomes_timeline ~29

Get full outcome timeline for a request.

Input Output Examples

Name	Type	Req	Description
request_id	string	yes	—

Structured output declared, but exposes no named fields.

No examples provided.

bighub_precedents_query ~95

Query similar past decision cases.

Input Output Examples

Name	Type	Req	Description
action	string	yes	—
actor_type	string	—	—
axes	object	—	—
domain	string	yes	—
intent	string	—	—
max_results	integer	—	—
min_similarity	number	—	—
require_outcome	boolean	—	—
risk_score	number	—	—
tool	string	—	—

Structured output declared, but exposes no named fields.

No examples provided.

On this page

Handy links

Scoring key

80+ high trust
60–79 medium
below 60 low

How we score

Score history · last 30 days

27 Jul 3 Aug

Day	Score
27 Jul	43
28 Jul	43
29 Jul	66
30 Jul	36
31 Jul	33
1 Aug	48
2 Aug	58
3 Aug	59