WhitePact

AI governance MCP server: trust scoring, guardrails, bias/hallucination detection, compliance.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "whitepact": {
      "command": "npx",
      "args": [
        "-y",
        "whitepact"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

WhitePact — an independent runtime authority, governance, and assurance layer for autonomous systems: a five-way governance decision engine (ALLOW / ALLOW_WITH_REDACTION / REQUIRE_APPROVAL / DENY / QUARANTINE), trust scoring, bias detection, guardrails, hallucination detection, compliance mapping (NIST AI RMF / EU AI Act / ISO 42001), cost intelligence, drift monitoring, a public Trust Index / leaderboard / AI Incident Database, and an MCP server (30 tools, 20 resources) with LangChain, LangGraph, and Google ADK trust-gate integrations.

Code

┌──────────────────────────────────────────────────────────────────────────────┐
│                        WhitePact  v1.2.3                                     │
│                                                                              │
│  ┌──────────────┐  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │ Governance   │  │ Trust Score │  │  Compliance  │  │  Guardrails      │  │
│  │ 5-way decide │  │ 6-dim A–F   │  │ NIST/EU/ISO  │  │  PII + Tox       │  │
│  └──────────────┘  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌──────────────┐  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │ Hallucination│  │ Cost Intel  │  │   Red Team   │  │  Drift Monitor   │  │
│  │ Self-consist.│  │ Route+Budget│  │ 10 attacks   │  │  Alerts+Trend    │  │
│  └──────────────┘  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌──────────────┐  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │ AI Passport  │  │  BiasBuster │  │ PrivacyLabel │  │  MCP Server      │  │
│  │ SHA-256 cert │  │ 6 probes+CI │  │  Federated   │  │  30 tools/HTTP   │  │
│  └──────────────┘  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌──────────────────────────────────────────────────────────────────────────┐ │
│  │   Governance Dashboard — FastAPI · Per-org rate limit · Alembic · OTEL  │ │
│  └──────────────────────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────────────────────┘

What this solves

Every team deploying AI in production faces the same gap: no unified way to prove a model — or an autonomous agent's actions — is safe, fair, compliant, and accountable. Audits are manual, bias is discovered in production, compliance is a spreadsheet, an agent's tool calls go ungoverned, and nobody knows what the LLM bill will be next month.

WhitePact gives you one platform — a REST API, a Python SDK, an MCP server, and a live dashboard — that covers the full governance lifecycle:

Problem	Module	Output
Should this agent action be allowed, redacted, held for approval, denied, or quarantined?	`WhitePactRuntimeGateway` (governance core)	A five-way `GovernanceDecision`, deterministic, no LLM call in the decision path
Is this model trustworthy?	`TrustScoreEngine`	0–100 score, A–F grade, risk level
Does it comply with regulations?	`ComplianceEngine`	NIST AI RMF, EU AI Act tier, ISO 42001
Is it exposing PII?	`GuardrailsEngine`	Block / redact with audit log
Is it hallucinating?	`HallucinationDetector`	Risk score, unsupported claims
Can it be attacked?	`RedTeamSimulator`	10 vectors, CVE IDs, safe-refusal rate
How much is it costing?	`CostTracker` + `ModelRouter`	Per-model USD, routing to cheapest viable model
Is it getting worse over time?	`TrustDriftMonitor`	7/30-day trend, severity alerts
Is it biased?	`BiasBuster`	6 demographic probes, CI gate
Is this data labeled privately?	`PrivacyLabel`	Federated DP labels, never leaves device
Is this media real?	`DeepfakeDetector`	Ensemble confidence, method detected
Can I trust a third-party MCP server before connecting to it?	`SupplyChainScanner`	VERIFIED_FACT / INFERRED_SIGNAL / UNKNOWN verdicts — typosquat, description-content, known-incident checks
Is there a tamper-evident record of every governance decision?	`EvidenceRepository`	Hash-chained `EvidenceRecord`, per-org, `verify_chain()`
Does a risky action get a human in the loop?	`ApprovalRepository`	Race-safe `PENDING → APPROVED/DENIED` workflow
How does this model rank against others, independently?	`Public Leaderboard`	Cross-model trust ranking from actually calling each model's API, not self-reported
Can I cite and verify a trust score anywhere?	`Trust Index`	Free self-assessed or human-reviewed certified passport, verifiable at `/verify/{id}`, embeddable badge
Has this AI system failed publicly before?	`AI Incident Database`	Crowd-reported, moderator-reviewed, hash-chained public registry
Should my agent trust this third-party tool before calling it?	`rai_check_trust` + LangChain/LangGraph/ADK integrations	Free lookup, plus a real block/pause gate in-agent
Can any MCP client govern every AI call?	`MCP Server`	27 governance tools over stdio, Streamable HTTP, or legacy HTTP+SSE

Install

bash

# Governance platform + REST API
pip install "rai-governance-platform[dashboard]"

# With PostgreSQL support
pip install "rai-governance-platform[dashboard,postgres]"

# With Redis + OpenTelemetry
pip install "rai-governance-platform[dashboard,redis,telemetry]"

# With LLM providers
pip install "rai-governance-platform[dashboard,openai,anthropic]"

# Everything
pip install "rai-governance-platform[all]"

The published PyPI package name (rai-governance-platform) and the import name (responsibleai) predate the WhitePact rename and are kept as-is — see MIGRATION_WHITEPACT_V2.md Section 3 for why an alias package (whitepact) was added instead of renaming the published package outright.

30-second quickstart

bash

# Start the governance dashboard
pip install "rai-governance-platform[dashboard]"
uvicorn responsibleai.dashboard.app:app --port 8765

# Evaluate a model (no LLM key needed — supply your own scores)
curl -X POST http://localhost:8765/api/evaluate \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "gpt-4o",
    "provider": "openai",
    "fairness": 0.80,
    "privacy": 0.85,
    "security": 0.82,
    "robustness": 0.78,
    "compliance": 0.90,
    "authenticity": 0.88
  }'

config.json

{
  "trust_score": { "trust_score": 83.65, "grade": "B", "risk": "LOW" },
  "compliance": { "overall_score": 80.5, "eu_ai_act_tier": "limited_risk", "violations": 0 },
  "passport_id": "rai-a3f7c2b1",
  "passport_hash": "4d8e1f2a9c3b7e6d...",
  "drift_alert": null
}

Open http://localhost:8765 for the live dashboard and http://localhost:8765/api/docs for interactive API docs.

Governance core — five-way decisions, not a binary block/allow

src/responsibleai/governance/ (see SPEC.md Sections 4-8 for the full architecture contract) is a deterministic runtime authority sitting in front of agent tool calls:

server.ts

from responsibleai.governance import WhitePactRuntimeGateway, ActionRequest, AuthorityContext

gateway = WhitePactRuntimeGateway()
result = gateway.evaluate(
    action=ActionRequest(tool_name="rai_scan", arguments={"text": "..."}),
    authority=AuthorityContext(org_id="acme", agent_id="agent-1"),
)
print(result.decision)  # GovernanceDecision.ALLOW | ALLOW_WITH_REDACTION | REQUIRE_APPROVAL | DENY | QUARANTINE

Read the full README on GitHub →

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Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about WhitePact

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "whitepact": { "command": "npx", "args": ["-y", "WhitePact"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to WhitePact →Install in Claude Desktop Install in Cursor Install in VS Code

WhitePact

AI governance MCP server: trust scoring, guardrails, bias/hallucination detection, compliance.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "whitepact": {
      "command": "npx",
      "args": [
        "-y",
        "whitepact"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

Code

┌──────────────────────────────────────────────────────────────────────────────┐
│                        WhitePact  v1.2.3                                     │
│                                                                              │
│  ┌──────────────┐  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │ Governance   │  │ Trust Score │  │  Compliance  │  │  Guardrails      │  │
│  │ 5-way decide │  │ 6-dim A–F   │  │ NIST/EU/ISO  │  │  PII + Tox       │  │
│  └──────────────┘  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌──────────────┐  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │ Hallucination│  │ Cost Intel  │  │   Red Team   │  │  Drift Monitor   │  │
│  │ Self-consist.│  │ Route+Budget│  │ 10 attacks   │  │  Alerts+Trend    │  │
│  └──────────────┘  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌──────────────┐  ┌─────────────┐  ┌──────────────┐  ┌──────────────────┐  │
│  │ AI Passport  │  │  BiasBuster │  │ PrivacyLabel │  │  MCP Server      │  │
│  │ SHA-256 cert │  │ 6 probes+CI │  │  Federated   │  │  30 tools/HTTP   │  │
│  └──────────────┘  └─────────────┘  └──────────────┘  └──────────────────┘  │
│  ┌──────────────────────────────────────────────────────────────────────────┐ │
│  │   Governance Dashboard — FastAPI · Per-org rate limit · Alembic · OTEL  │ │
│  └──────────────────────────────────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────────────────────────────────┘

What this solves

WhitePact gives you one platform — a REST API, a Python SDK, an MCP server, and a live dashboard — that covers the full governance lifecycle:

Problem	Module	Output
Should this agent action be allowed, redacted, held for approval, denied, or quarantined?	`WhitePactRuntimeGateway` (governance core)	A five-way `GovernanceDecision`, deterministic, no LLM call in the decision path
Is this model trustworthy?	`TrustScoreEngine`	0–100 score, A–F grade, risk level
Does it comply with regulations?	`ComplianceEngine`	NIST AI RMF, EU AI Act tier, ISO 42001
Is it exposing PII?	`GuardrailsEngine`	Block / redact with audit log
Is it hallucinating?	`HallucinationDetector`	Risk score, unsupported claims
Can it be attacked?	`RedTeamSimulator`	10 vectors, CVE IDs, safe-refusal rate
How much is it costing?	`CostTracker` + `ModelRouter`	Per-model USD, routing to cheapest viable model
Is it getting worse over time?	`TrustDriftMonitor`	7/30-day trend, severity alerts
Is it biased?	`BiasBuster`	6 demographic probes, CI gate
Is this data labeled privately?	`PrivacyLabel`	Federated DP labels, never leaves device
Is this media real?	`DeepfakeDetector`	Ensemble confidence, method detected
Can I trust a third-party MCP server before connecting to it?	`SupplyChainScanner`	VERIFIED_FACT / INFERRED_SIGNAL / UNKNOWN verdicts — typosquat, description-content, known-incident checks
Is there a tamper-evident record of every governance decision?	`EvidenceRepository`	Hash-chained `EvidenceRecord`, per-org, `verify_chain()`
Does a risky action get a human in the loop?	`ApprovalRepository`	Race-safe `PENDING → APPROVED/DENIED` workflow
How does this model rank against others, independently?	`Public Leaderboard`	Cross-model trust ranking from actually calling each model's API, not self-reported
Can I cite and verify a trust score anywhere?	`Trust Index`	Free self-assessed or human-reviewed certified passport, verifiable at `/verify/{id}`, embeddable badge
Has this AI system failed publicly before?	`AI Incident Database`	Crowd-reported, moderator-reviewed, hash-chained public registry
Should my agent trust this third-party tool before calling it?	`rai_check_trust` + LangChain/LangGraph/ADK integrations	Free lookup, plus a real block/pause gate in-agent
Can any MCP client govern every AI call?	`MCP Server`	27 governance tools over stdio, Streamable HTTP, or legacy HTTP+SSE

Install

bash

# Governance platform + REST API
pip install "rai-governance-platform[dashboard]"

# With PostgreSQL support
pip install "rai-governance-platform[dashboard,postgres]"

# With Redis + OpenTelemetry
pip install "rai-governance-platform[dashboard,redis,telemetry]"

# With LLM providers
pip install "rai-governance-platform[dashboard,openai,anthropic]"

# Everything
pip install "rai-governance-platform[all]"

30-second quickstart

bash

# Start the governance dashboard
pip install "rai-governance-platform[dashboard]"
uvicorn responsibleai.dashboard.app:app --port 8765

# Evaluate a model (no LLM key needed — supply your own scores)
curl -X POST http://localhost:8765/api/evaluate \
  -H "Content-Type: application/json" \
  -d '{
    "model_name": "gpt-4o",
    "provider": "openai",
    "fairness": 0.80,
    "privacy": 0.85,
    "security": 0.82,
    "robustness": 0.78,
    "compliance": 0.90,
    "authenticity": 0.88
  }'

config.json

{
  "trust_score": { "trust_score": 83.65, "grade": "B", "risk": "LOW" },
  "compliance": { "overall_score": 80.5, "eu_ai_act_tier": "limited_risk", "violations": 0 },
  "passport_id": "rai-a3f7c2b1",
  "passport_hash": "4d8e1f2a9c3b7e6d...",
  "drift_alert": null
}

Open http://localhost:8765 for the live dashboard and http://localhost:8765/api/docs for interactive API docs.

Governance core — five-way decisions, not a binary block/allow

src/responsibleai/governance/ (see SPEC.md Sections 4-8 for the full architecture contract) is a deterministic runtime authority sitting in front of agent tool calls:

server.ts

from responsibleai.governance import WhitePactRuntimeGateway, ActionRequest, AuthorityContext

gateway = WhitePactRuntimeGateway()
result = gateway.evaluate(
    action=ActionRequest(tool_name="rai_scan", arguments={"text": "..."}),
    authority=AuthorityContext(org_id="acme", agent_id="agent-1"),
)
print(result.decision)  # GovernanceDecision.ALLOW | ALLOW_WITH_REDACTION | REQUIRE_APPROVAL | DENY | QUARANTINE

Read the full README on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about WhitePact

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "whitepact": { "command": "npx", "args": ["-y", "WhitePact"] } }

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<a href="https://allmcps.com/mcp/whitepact"><img src="https://allmcps.com/api/badge/whitepact?style=directory" alt="WhitePact on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

27Quality signal: Emerging · 27/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20

Documentation & tools11/30

Adoption & activity1/15

Community engagement0/10

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

Share & Embed

Add our SVG badge (dark/light directory styles) or embeddable widget to your site.

Explore more

More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to WhitePact →Install in Claude Desktop Install in Cursor Install in VS Code