Connect AI agents to apps, APIs, MCP servers, and private tools — with OAuth, secrets, permissions, approvals, and audit trails built in.
One control plane for the tools your agents need· example integrations
Chat is solved. The moment an agent touches a real system — a CRM, a payment, a database — every shortcut becomes a production incident.
“An API key gets pasted into a system prompt to “just make it work.””
One leaked log line exposes every system that key can touch.
“An agent that only needs to read the CRM also has write and delete.”
A confused or jailbroken agent reaches far beyond its job.
“The agent issues a $4,000 refund at 2am with nobody watching.”
Irreversible actions run with no human in the loop.
“An agent updates the wrong CRM record and the team scrambles to explain it.”
Nobody knows which token, which tool, or who approved it.
Click through a real request — or let it play. No two calls are treated the same: reads pass, writes are scoped, and risky actions wait for a human.
“Create a Salesforce follow-up task, send a Slack update, and attach the source summary from Notion.”
Agent receives the request
Whatever framework your agents use, every tool call is routed, authorized, policy-checked, and recorded in one place — instead of re-invented per app.
Agents & frameworks
every action flows through here
Business systems
Agents & frameworks
every action flows through here
Business systems
The full control plane — auth, tools, policy, approvals, runtime, and audit — so you ship production agents instead of stitching primitives together.
Never put a secret in a prompt again — Nolixan brokers auth and injects credentials at call time.
AES-256-GCM at rest · auto-refresh · per-user tokens
Expose governed tools to any MCP client through one endpoint with progressive discovery.
JSON-RPC · initialize / tools.list / tools.call
Typed, discoverable tools your agents can list and call without bespoke glue code.
1,000+ providers · JSON-Schema validated
Allow, deny, or require approval for every call — evaluated server-side, not in the agent.
fail-closed: default-deny on writes · ordered rule resolution
Pause risky actions for a person; execution resumes on approve, stops on deny.
approve / deny · Slack & web · resumable
Every invocation is attributable and exportable for security and compliance reviews.
actor · tool · policy · args hash · trace_id
Bring your own internal APIs as first-class, org-scoped tools.
manifest-driven generic_http · org-scoped
React to provider events safely and route them into your agent or sync pipeline.
verified signatures · idempotent delivery
One token, every framework — list tools, invoke, and get a trace back.
JavaScript · Python · MCP · REST
Deploy inside your own boundary so secrets and data never leave it.
tenant isolation · no secret egress
Policy, approval, and the audit trail are enforced on Nolixan’s side — so they hold no matter how the agent calls out.
import { Nolixan } from "@nolixan/sdk";
const nolixan = new Nolixan({ token: process.env.NOLIXAN_AGENT_TOKEN });
// 1. discover the tools this token is allowed to use
const tools = await nolixan.tools.list({ provider: "salesforce" });
// 2. invoke — with user/workspace context attached
const res = await nolixan.tools.invoke("salesforce.create_task", {
input: { subject: "Follow up with Acme" },
context: { user: "u_123", workspace: "ws_acme" },
});
console.log(res.status, res.trace_id); // "approval_required" nlx_8f2c4aResponse
{
"status": "approval_required",
"tool": "salesforce.create_task",
"policy": "crm.write → 1 approver",
"approval_url": "https://app.nolixan.dev/a/8f2c",
"trace_id": "nlx_8f2c4a"
}Every action is classified before it runs — and logged after. Read freely, gate the risky stuff, block what should never happen.
Most platforms log what an agent did. Nolixan produces cryptographic proof you can verify offline — the layer no one else owns.
Every action yields an Ed25519-signed, hash-chained receipt. Hand a regulator the receipt and a public key — they verify exactly what happened, without trusting (or even reaching) us.
What a reviewer approved is byte-for-byte what executes — no drift between the request that was approved and the call that runs.
The person (or agent) who requests a sensitive action can't be the one who approves it. Every blocked self-approval is recorded.
Each agent carries a signed capability contract and every policy change is a versioned, diffable snapshot — "git for governance."
exit 0 — signature + chain verified offline
Content-level DLP strips sensitive values out of what an agent sends, what it receives, and what you log — before the model ever sees them. Stronger than access control: a single allowed call can never leak a card number, secret, or patient ID.
~60 built-in classes across 7 categories, checksum-validated to keep false positives low. Per class, choose redact · mask · drop · tokenize · fingerprint; start in monitor mode, then enforce. Every redaction writes a counts-only, signed receipt you can verify offline — no raw values stored.
Beyond policy and audit, Nolixan governs the whole agent lifecycle — discovery, identity, credentials, cost, and the MCP surface itself.
The agent only perceives the tools it's allowed to use — denied tools never appear in discovery, with governance metadata inline.
A blocked or gated action returns actionable guidance — a deny explains why, an approval returns a pollable handle, a sanitize lists redacted fields — so the agent complies instead of dead-ending on a 403.
Mint task-scoped credentials that expire in minutes instead of handing agents standing access there's nothing to leak.
Each agent gets its own did:nolixan identity and keypair, so every action is attributable even when agents share a key.
Surface unregistered actors taking actions in an environment, risk-ranked from the audit trail, with a live decision feed.
Nolixan is a spec-compliant OAuth 2.1 server, so remote MCP clients like Claude.ai connect, consent, and call governed tools — no shared API key.
Detect hidden instructions, schema abuse, typosquatting, and rug-pulls in MCP tools before your agent trusts them.
Per-tenant and per-agent budgets throttle or kill runaway cost before it runs; SLOs track error-budget burn on agent actions.
Controls mapped to OWASP Agentic Top-10 and SOC 2 with exact source evidence — CI fails the moment an anchor moves.
The pattern is always the same: real tools, scoped access, the right approvals, and a record of everything that happened.
Resolve tickets end to end across the support stack.
Tools
Governance
Faster resolutions without exposing customer data.
Keep the CRM clean and follow-ups on time.
Tools
Governance
Pipeline hygiene with a human on risky updates.
Triage issues, open PRs, query read replicas.
Tools
Governance
Automation that can’t take down production.
Reconcile transactions and process refunds.
Tools
Governance
Every dollar movement approved and traceable.
Drive cross-tool operations on private systems.
Tools
Governance
Glue work automated inside your boundary.
Act in healthcare or finance systems of record.
Tools
Governance
Agent automation that passes compliance review.
No logos to borrow trust from yet — so here’s exactly what the architecture guarantees.
Async, multi-tenant runtime with encryption, rate limiting, and idempotent execution baked in.
Every call is bound to an environment; one tenant can never read or act on another’s data.
Actor, tool, credential, policy, args hash, and outcome — recorded and exportable.
Credentials live in an encrypted broker and are injected at call time, never in the model context.
Rules are evaluated server-side before a tool ever runs — not trusted to the agent.
High-impact calls pause for a human; nothing irreversible happens unattended.
Nolixan is a secure control plane for production AI agents. It lets agents discover tools, authenticate via OAuth and API keys, call apps, APIs, and MCP servers, follow policies, require human approvals, and produce audit trails — so agent actions are safe to run in production.
A catalog gives you connections. Nolixan adds the governance layer on top: a runtime policy engine, human-in-the-loop approvals, agent-scoped tokens, and a full audit trail — the part that makes agent actions safe, not just possible.
Yes. Nolixan exposes a governed MCP gateway, so any MCP client — Claude, Cursor, or your own agent — discovers only the tools a token is scoped to, with policy and audit applied automatically.
Credentials are brokered and encrypted at rest with AES-256-GCM, refreshed automatically, and injected at call time. They are never placed in prompts or the model context.
Yes. Nolixan is built for deployment inside your own boundary with strict tenant isolation, so secrets and data never leave your environment.
Yes. Any action can be gated by policy to require approval. The agent pauses, a person approves or denies in Slack or the web app, and execution resumes — or stops.
Every invocation records the actor, tool, credential, policy decision, an args hash, outcome, and trace ID. Logs are tenant-scoped and exportable for security and compliance reviews.
Yes. Every action produces an Ed25519-signed, hash-chained receipt you can verify offline with a public key — no need to trust or even reach Nolixan. The exact action a reviewer approved is byte-for-byte what executes, and separation of duties stops anyone from approving their own request.
Content-level data redaction (DLP) strips sensitive values out of tool inputs, tool outputs, and logs before the model ever sees them — about 60 built-in classes across 7 categories (financial, government IDs, PII, PHI, secrets, network, GDPR). Per class you choose redact, mask, drop, tokenize, or fingerprint, and each redaction writes a counts-only signed receipt with no raw values stored.
Each agent gets its own DID identity and can be issued just-in-time credentials that expire in minutes instead of standing access. Per-tenant and per-agent spend budgets throttle or kill runaway cost before an action runs, and shadow-agent discovery surfaces unregistered actors.
Yes. Bring internal APIs as first-class, org-scoped tools using a manifest-driven HTTP connector — governed exactly like public ones.
Yes. Use the SDK (JavaScript or Python), MCP, or the REST API with OpenAI Assistants, LangChain, CrewAI, Claude, or custom agents.
Both. Start with one agent, one workflow, and one policy in minutes — then scale to production with the same governance in place.
Start with one agent, one workflow, and one policy. Scale safely from prototype to production.