veriswarm mcp

VeriSwarm SDK & Integrations

Official client libraries, MCP server, and plugins for VeriSwarm — trust infrastructure for AI agents.

Packages

Package	Language	Install	Description
Python SDK	Python	pip install veriswarm	REST client with Workflows, credential issuance, scoring profiles, LangChain adapter
Node.js SDK	JavaScript	npm install @veriswarm/sdk	ESM client for decisions, events, Workflows, agent management
MCP Server	Python	pip install veriswarm-mcp	89 MCP tools for trust scoring, Guard, Passport, Vault, Workflows, Compliance (OWASP/EU AI Act/NIST/ISO 42001), Cedar policies + ABAC attributes, SRE, context governance, and content provenance (EU AI Act Art. 50). Works with Claude Desktop, Cursor, and any MCP client. (approve_jit_grant and issue_jit_token are deliberately not exposed to the LLM — those actions live behind an authenticated session in the web UI.)
OpenClaw Plugin	TypeScript	openclaw plugins install veriswarm	11 tools + 3 hooks for OpenClaw agents. PII tokenization, policy enforcement, audit. Per-feature enable/disable.
GitHub Action	Python	GitHub Marketplace	CI/CD trust gate — check agent trust scores in your pipeline
JSON Schemas	JSON	npm install @veriswarm/schemas	Schema definitions for events, profiles, scores, and workflows

Quick Start

MCP Server (Recommended)

Add to your MCP client config (Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "veriswarm": {
      "command": "python3",
      "args": ["-m", "veriswarm_mcp"],
      "env": {
        "VERISWARM_API_URL": "https://api.veriswarm.ai",
        "VERISWARM_API_KEY": "YOUR_API_KEY"
      }
    }
  }
}

Or use the setup CLI:

pip install veriswarm-mcp
veriswarm-setup --platform claude --api-key YOUR_API_KEY

This installs the MCP server, Guard hooks (PII protection + activity logging), and Guard Proxy config.

Python SDK

from veriswarm import VeriSwarmClient

client = VeriSwarmClient("https://api.veriswarm.ai", "YOUR_API_KEY")

# Register an agent
agent = client.register_agent({"slug": "my-agent", "display_name": "My Agent"})

# Check if an action should be allowed
result = client.check_decision(agent_id="agt_123", action_type="send_email")
print(result["decision"])  # "allow", "review", or "deny"

# Ingest events
client.ingest_event(
    event_id="evt_001", agent_id="agt_123", source_type="platform",
    event_type="task.completed", occurred_at="2026-04-01T00:00:00Z",
    payload={"task": "onboarding", "success": True}
)

Node.js SDK

import { VeriSwarmClient } from '@veriswarm/sdk'

const client = new VeriSwarmClient({
  baseUrl: 'https://api.veriswarm.ai',
  apiKey: 'YOUR_API_KEY'
})

const result = await client.checkDecision({
  agentId: 'agt_123',
  actionType: 'send_email'
})

OpenClaw Plugin

{
  plugins: {
    entries: {
      veriswarm: {
        enabled: true,
        config: {
          apiKey: "YOUR_API_KEY",
          piiEnabled: true,
          policyEnabled: true,
          injectionScan: true,
          auditEnabled: true
        }
      }
    }
  }
}

Free Plan

Get started with no credit card:

• 5,000 trust score queries/day
• Up to 10 agents
• Unlimited event ingestion
• Portable credentials issued on demand (rate-limited per plan; see pricing for current limits)

Sign up at veriswarm.ai.

Links

• VeriSwarm Platform
• Documentation
• API Reference
• Quickstart
• Pricing

License

MIT