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VeriSwarm MCP Server — Trust infrastructure for AI agents via Model Context Protocol
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VeriSwarm MCP Server — Trust infrastructure for AI agents via Model Context Protocol
Security Report
3.0
Use Caution3.0High RiskValid MCP server (1 strong, 2 medium validity signals). 5 known CVEs in dependencies (2 critical, 3 high severity) Package registry verified. Imported from the Official MCP Registry.
11 files analyzed · 6 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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Unverified package source
We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-veriswarm-veriswarm-mcp": {
"args": [
"veriswarm-mcp"
],
"command": "uvx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
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
License
MIT
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