NyxID
NyxID is an agent connectivity gateway MCP server for securely calling downstream APIs through credential injection, service discovery, human approvals, and delegated identity exchange.
Proxy HTTP requests (
GET/POST/PUT/PATCH/DELETE) to granted downstream services, with NyxID injecting credentials so the agent never handles raw API keys.Reach cloud APIs, internal REST endpoints, and localhost services via NAT-pierced credential nodes; calls are rate-limited and audit-logged per agent identity.
List visible services by category and optionally include parsed OpenAPI endpoints for tool discovery before issuing requests.
Request human approval via Telegram/mobile push before sensitive or destructive actions, with a configurable timeout.
Exchange the agent's NyxID identity for a scoped delegated OIDC access token to act on behalf of a specific user, with audience, scope, and TTL controls.
Provides credential injection capabilities for APIs, allowing AI agents to access services without exposing raw keys, similar to 1Password Universal Autofill but with broader API support.
Provides NAT traversal capabilities similar to Cloudflare Tunnel but with additional credential injection features for reaching localhost services and internal APIs.
Used as the deployment platform for self-hosting the NyxID server stack, enabling containerized deployment of the gateway with backend, frontend, and MongoDB services.
Example service that can be accessed by AI agents through the NyxID gateway with per-agent isolation, allowing secure API access without exposing credentials.
Provides OIDC/OAuth 2.0 identity layer with RBAC, service accounts, and authentication capabilities similar to Keycloak but integrated with API credential injection.
Used as the database backend for the NyxID server stack, storing configuration, credentials, and user data in a containerized MongoDB instance.
Supported as an AI agent client that can connect to any API through the NyxID gateway with automatic credential injection and MCP tool wrapping capabilities.
Example LLM provider that can be integrated as a service, allowing AI agents to access OpenAI APIs through credential injection without exposing API keys.
Provides OIDC/OAuth 2.0 authentication with PKCE for secure agent authentication and authorization to access various API services through the gateway.
Example service that can be accessed by AI agents through the NyxID gateway with per-agent isolation, allowing secure API access without exposing credentials.
Integrated for transaction approval workflows, providing mobile push notifications for approving API access requests from AI agents.
Connect AI agents to any API, anywhere. Securely. Open-source Agent Connectivity Gateway.
NyxID lets your AI agents (Claude Code, Cursor, n8n) reach any API you have, public or private, and handles all the credentials so your agent never sees a raw key.
flowchart LR
subgraph Agents["AI Agents"]
CC[Claude Code]
CU[Cursor]
N8[n8n]
end
subgraph NyxID["NyxID Gateway"]
AUTH[OIDC and API Key Auth]
PROXY[Credential Injection Proxy]
MCP[MCP Tool Wrapping]
end
subgraph Connectivity["Private Reach"]
NODE[Credential Node]
end
subgraph Targets["Connected Services"]
PUB[Public APIs]
INT[Internal APIs]
LOC[Localhost Services]
end
CC --> AUTH
CU --> AUTH
N8 --> AUTH
AUTH --> PROXY
PROXY --> MCP
PROXY -->|Direct proxy| PUB
PROXY -->|Private network| INT
PROXY -->|NAT traversal| NODE
NODE --> LOC
classDef agents fill:#eef2ff,stroke:#4f46e5,color:#111827,stroke-width:1.5px;
classDef gateway fill:#111827,stroke:#22d3ee,color:#ffffff,stroke-width:2px;
classDef tooling fill:#e0f2fe,stroke:#0284c7,color:#0f172a,stroke-width:1.5px;
classDef node fill:#fef3c7,stroke:#f59e0b,color:#111827,stroke-width:1.5px;
classDef targets fill:#ecfeff,stroke:#14b8a6,color:#0f172a,stroke-width:1.5px;
class CC,CU,N8 agents;
class AUTH,PROXY gateway;
class MCP tooling;
class NODE node;
class PUB,INT,LOC targets;NyxID proxies requests, injects credentials automatically, punches through NAT (Network Address Translation) to reach your local services, and wraps any REST API as MCP (Model Context Protocol) tools.
Administrators can configure shared credentials, access, endpoint rules, and billing from either services or linked providers. See Service configuration and vendor retirement. They can also give a role read-only access to platform-wide usage reports, for example with the seeded Usage Viewer role, without granting other admin access. See Admin usage. Usage → Dashboard / List share top-level user, billing-owner organization, service, and time filters. Dashboard charts offer Group by → Model to inspect recorded model usage within a service. See billing analytics for grouping, missing models, and filter semantics. Admins, operators and Usage Viewers can open Usage → NyxBot for cost and billing, token traffic, and top billing accounts split by model, alongside active-session counts, turn outcomes, and reply feedback. See NyxBot model usage for exact values, attribution, and historical coverage, and NyxBot activity for activity definitions.
Feature flag access can be delegated to any user or group with
feature-flag-operator (create flags and manage their own) or
feature-flag-admin (manage all flags, including built-ins). Both roles use
Admin → Feature Flags. See feature flag management.
What NyxID Does
Allocate repeatable credits — admin Credits supports exact one-time or recurring allocations, optional shared-total service ceilings, and reclaim of each allocation's unspent remainder. Existing free-unit allowances stay separate. New policy authoring is off until all billing writers are upgraded; see credit allocation accounting and rollout.
Connect phone and speech services to NyxBot — service adapters add Telnyx/Twilio inbound calls and SMS plus ElevenLabs Custom LLM, with declared capabilities, verified connections and specialist tools. The feature is disabled by default; shared-platform Telnyx voice is unavailable.
Manage Oracle pool ownership and retirement — transfer a pool between your account and organizations you manage while preserving its identity, or delete an idle pool through the API and CLI. See Oracle pool lifecycle for credential renewal and coordinated rollout requirements. Available in the first tagged release containing these changes.
Adjust your chat layout — resize the message column with the two desktop handles, or set shared chat width and maximum composer height in Settings → Display. Individual desktop threads include a message index for navigating long conversations, while scroll fades and compact conversation controls preserve reading space. Preferences apply to all chats in this browser. See assistant UI.
Speak to NyxBot and specialists — voice calls start with saved account preferences and show live captions and audio activity in the composer. Change the next call’s defaults through Voice settings in the composer chevron. Dictation offers click-to-toggle or hold-to-talk capture, microphone selection, and transcript review before insertion into a draft. Platform audio requires enabled voice features, a configured provider and tariff, and sufficient funding; microphone access is requested when capture is activated. See voice and dictation.
Display source images in NyxBot — supported Notion reads return image references that NyxBot can retain as encrypted chat attachments and deliver through supported channels. The shared retrieval tool rechecks source access; see source resources and image display.
Control NyxBot service use — NyxBot enforces saved connection order, prefers suitable working personal connections, and asks before organization use in Auto and Ask every time. Choose an exact connection for the next message without changing permission modes. See NyxBot service execution.
Spend NyxID credits on Telnyx tools — the Telnyx platform offering supports a restricted pilot of one model's nonstreaming text chat through HTTP or MCP, including NyxBot tool calls. Administrators must configure and enable the shared credential, verified model bounds, prices, billing, and pilot access before use; users do not connect Telnyx OAuth.
Connect Stripe to agents — Stripe Apps OAuth supports a managed account connection and read-only customer, invoice, payment, and subscription tools.
Connect email to agents — Aurinko Email provides an AI Service for mailbox API/MCP operations and an email channel bot for signed incoming notifications and replies. Connect with an account token; the channel additionally uses the application's signing secret.
Create a Telegram channel bot — Telegram New uses a platform-managed creation flow so customers can create and connect a bot without copying a token. The existing Telegram option still connects bots using their current tokens. Administrators configure a dedicated manager before enabling Telegram New.
Use BotFather as your Telegram assistant — linked managers deliver full replies in ordered messages and retain forwarded text, quotes, links and attachments. Pair with a copyable command or Telegram return link, and edit shared FAQ/use-case libraries with preview, publication history and rollback in Admin → Platform Bots. Multiple managers can share one library. See BotFather setup and gateway rollout.
Mention channel specialists — Exact native Telegram and Lark/Feishu mentions reach the receiving bot's linked agent in an enabled group without participant OAuth. Bot-authored messages remain guests with durable handoff limits. See channel admission and gateway rollout.
Reach anything — public APIs, internal APIs, localhost services via credential nodes (
nyxid node). SSH (Secure Shell) tunneling (nyxid ssh) reaches remote hosts. No VPN (Virtual Private Network), no port forwarding.Never expose keys — the reverse proxy injects credentials automatically. Your agent talks to NyxID; NyxID talks to the API with the real key.
MCP auto-wrap — REST APIs with OpenAPI specs become MCP (Model Context Protocol) tools.
nyxid mcp config --tool cursorgenerates the config. Works with Claude Code, Cursor, VS Code, and any MCP client.Per-agent isolation — each agent gets a scoped token. Agent A accesses Slack and Gmail. Agent B only accesses your internal API. Revoke any session without touching the underlying credentials.
Full identity layer — OIDC (OpenID Connect) / OAuth 2.0 with PKCE (Proof Key for Code Exchange), RBAC (Role-Based Access Control), service accounts, transaction approval (Telegram + mobile push), LLM (Large Language Model) gateway for 7 providers.
Add service access when needed — applications can request incremental OAuth consent, showing new services separately while preserving existing access in refresh tokens and broker bindings.
Related MCP server: mcpgate
See It in Action
The web app checks for frontend updates every ten minutes. Assistant updates apply on safe chat or view switches; every frontend build still pending after 15 minutes shows a refresh reminder, including on Nyxbot pages. See deployment behavior.
The end-to-end loop is short: connect a service to NyxID once, then any AI agent pointed at your NyxID MCP endpoint can use it — without ever seeing the raw API key.
Add a service in the web console — paste your OpenAI (or Anthropic, GitHub, etc.) key once; NyxID stores it encrypted.
Wire up your AI tool —
claude mcp add --transport http --scope user nyxid http://localhost:3001/mcp(or one-click install for Cursor inSettings→MCP).Use it — Claude Code, Cursor, or any MCP client can now call the service through NyxID. The agent sees the response; never the key.
Why NyxID
Other tools solve parts of this — NyxID combines credential injection, NAT traversal, and MCP tooling in one open-source gateway:
NyxID | 1Password Universal Autofill | Cloudflare Tunnel | Keycloak | |
Open source | Yes | No | No | Yes |
NAT traversal to localhost | Yes ( | No | Yes (no credentials) | No |
Credential injection | Yes (any API) | Partner integrations | No | No |
REST to MCP auto-wrap | Yes | No | No | No |
Per-agent isolation | Yes | No | No | No |
OIDC / OAuth 2.0 | Yes | No | No | Yes |
Use Cases
Give Claude Code access to your private APIs without sharing keys
Expose internal microservices to AI agents through a single MCP endpoint
Secure AI agent access to self-hosted tools (Grafana, Jenkins, n8n) behind your firewall
Getting Started
NyxID is used in two phases — install the nyxid CLI client, then pick a workflow. The CLI logs into either the hosted service or a self-hosted backend and can create the Agent Key your workflow needs.
1. Install NyxID
The default "install NyxID" path installs the lightweight nyxid CLI. It is user-scoped, needs no Docker, and does not start a backend server.
Just need the client? Install the CLI. Running your own backend? Self-host with Docker.
bash -c "$(curl -fsSL https://raw.githubusercontent.com/ChronoAIProject/NyxID/main/skills/nyxid/scripts/install.sh)"After the CLI is installed, choose where it should log in:
Hosted | Self-host | |
What it is | We run the NyxID backend for you in the cloud | You run the NyxID backend on your own machine |
Best for | Getting started quickly, no server setup | Full control, private networks, offline use |
Status | Open sign-up | Open — anyone can run it |
Driving NyxID from an AI coding agent? Hand it this single line at any point — it tells the agent to install the
nyxidCLI plus the Nyx skill files:Install nyx skills from https://github.com/ChronoAIProject/NyxID/blob/main/skills/INSTALL.mdThe agent reads
skills/INSTALL.mdend-to-end. It should use the CLI installer by default and only run the Docker backend setup if you explicitly ask to self-host.
Prefer a plugin install? The Claude Code and Codex plugins connect your agent to NyxID's hosted MCP server and bundle an MCP-first NyxID skill; they need no CLI. The last command opens NyxID sign-in. When you approve the app, choose the services it may use (or all services). Connect a service afterwards to expose its tools.
Claude Code
claude plugin marketplace add ChronoAIProject/NyxID claude plugin install nyxid@nyxid claude mcp login plugin:nyxid:nyxidCodex
codex plugin marketplace add ChronoAIProject/NyxID codex plugin add nyxid@nyxid codex mcp login nyxid
claude mcp loginneeds Claude Code 2.1.284 or later; on older versions run/mcpinside Claude Code to sign in. The same Claude marketplace also offersnyxid-cli@nyxid, the CLI edition that bundles every skill inskills/(it calls thenyxidCLI installed above). Cursor: seeintegrations/cursor-plugin/. Maintainers: seedocs/PLUGINS.md.
Hosted (Recommended)
Start using NyxID in under a minute — no Docker, no setup.
Open nyx.chrono-ai.fun/register in a new tab (Cmd/Ctrl-click, or right-click → Open Link in New Tab) so you can keep this checklist open.
Sign up with Google, GitHub, or Apple
Open
AI Services, add and connect your first external service, and run the API Usage verification curlAfter the service is verified, wire your AI tool to NyxID's MCP endpoint
The full click-through flow is in Add your first AI Service.
Self-Host
Run your own NyxID backend on your machine. This is the optional server-side path and sets up three Docker containers (database, backend, frontend) — takes about 2 minutes.
Prerequisites: Docker and a bash shell. macOS and Linux already have one — Windows users, see docs/WINDOWS_SETUP.md before going further. Docker is required only for this backend path. Full prereqs and disk budgets are in SETUP.md.
AI-Assisted (Recommended)
If you have Claude Code, Cursor, or any AI coding assistant open, paste the prompt below into it only when you explicitly want a self-hosted backend. It will drive the entire self-host flow for you — preflight, clone, env generation, Docker stack, health check, CLI login, first credential, and MCP config.
I want to self-host the NyxID backend on this machine (the repo is https://github.com/ChronoAIProject/NyxID). This is the Docker server path, not the default CLI install. Walk me through the full setup interactively. If anything fails or I'd prefer to follow the manual steps myself, the full step-by-step with troubleshooting is at https://github.com/ChronoAIProject/NyxID/blob/main/docs/SETUP.md. If I'm on Windows, confirm I'm running from a WSL Ubuntu shell (not native PowerShell or CMD) before proceeding — see https://github.com/ChronoAIProject/NyxID/blob/main/docs/WINDOWS_SETUP.md.
Confirm Docker is installed and running before touching anything (check
git,docker,openssl,curl,docker composev2, anddocker info).Before cloning or generating anything, check whether NyxID install STATE is present — look for a
./NyxID/.env.devfile OR any Docker volume matchingnyx*_mongodb_data(rundocker volume ls --format '{{.Name}}' | grep -E 'nyx.*_mongodb_data$'— this catches the defaultnyxid_mongodb_dataplus any variant from a renamed checkout). A bare./NyxIDdirectory alone does NOT count as "installed" —uninstall.shleaves the source tree in place, so the directory can exist with no state. If install state is present, stop and tell me the quickstart is a first-time-only install. Ask whether I want to (a) uninstall first — if./NyxIDexists, runcd NyxID && ./scripts/uninstall.sh --yes && cd ..; if only the stale Docker volume is orphaned (checkout was manually deleted earlier), rundocker volume ls --format '{{.Name}}' | grep -E 'nyx.*_mongodb_data$' | xargs -r docker volume rmdirectly. Either path wipes the volume, containers, and (for the script path).env.dev/keys — destroys all NyxID accounts and encrypted credentials. Or (b) keep my existing install and stop here — I can verify it's still running withcurl -sf http://localhost:3001/health. Do not proceed to step 3 until I answer.If
./NyxIDalready exists (post-uninstall reinstall),cdinto it; otherwise clone the repo into the current directory andcdin. Generate.env.devwith a freshENCRYPTION_KEYandMONGO_ROOT_PASSWORD(setENVIRONMENT=development,AUTO_VERIFY_EMAIL=true, andEMAIL_AUTH_ENABLED=trueso I can complete email verification quickly; after initial admin setup, disable theauth:invitation-codefeature flag under Admin > Feature Flags to open signup), symlink it to.env.production, create the PKCS#1 JWT signing keys underkeys/(with a LibreSSL fallback using-puboutif-RSAPublicKey_outisn't supported), then pull images and start the stack withdocker compose -f docker-compose.yml -f docker-compose.prod.yml --env-file .env.production up -d. Wait up to 90 seconds forhttp://localhost:3001/healthto return 200 — if it times out, tell me to rundocker logs nyxid-backend. If the logs showSCRAM failure: Authentication failed, that means the MongoDB volume has a stale password from a previous install — tell me to run./scripts/uninstall.sh --yes(or, if the checkout is gone,docker volume ls --format '{{.Name}}' | grep -E 'nyx.*_mongodb_data$' | xargs -r docker volume rmto remove any nyx-flavored orphan volume) and retry. Show me the generatedENCRYPTION_KEYso I can back it up.Tell me to open http://localhost:3000 and register my account (no email verification needed — accounts are auto-verified in dev mode), and wait until I confirm I've done that.
Ensure the
nyxidCLI is available. If it is not installed, ask me whether I want to install thenyxidCLI plus the Nyx skill so you can drive NyxID from the terminal afterwards. Explain that the installer downloads a roughly 10 MB prebuilt binary plus a small set of skill files (no Rust toolchain required), installs the CLI into a versioned layout with rollback support, and that only unsupported OS/arch combinations fall back to a Rust source build. If I say yes, follow the install manifest at https://raw.githubusercontent.com/ChronoAIProject/NyxID/main/skills/INSTALL.md end-to-end (it installs the CLI under~/.local/share/nyxid/, drops the skill into your skill directory, and tells you toexport PATH="$HOME/.local/bin:$PATH"if needed). Then verify withnyxid doctor, log me in withnyxid login --base-url http://localhost:3001, add my OpenAI key withnyxid service add llm-openai --credential-env OPENAI_API_KEY, and verify withnyxid proxy request <slug> modelsusing the slug the previousservice addcommand printed underSlug:(typicallyllm-openai, but suffixed if I already had a service with that slug). If I do not want the CLI, walk me through adding the same OpenAI credential in the web console instead.Finish by connecting my AI tool to NyxID's MCP endpoint at
http://localhost:3001/mcp. For Claude Code:claude mcp add --transport http --scope user nyxid http://localhost:3001/mcp. For Codex:codex mcp add nyxid --url http://localhost:3001/mcp. For Cursor: openSettings>MCPin the web console and clickInstall to Cursor.
Manual Setup
Prefer to run the optional backend setup yourself, or need the full troubleshooting guide? Follow docs/SETUP.md (macOS, Linux, or Windows via WSL).
It covers:
System preflight check — Step 1
One paste-block install — Step 2
Register your account — Step 3
Uninstall & reinstall, orphan volume recovery, and SCRAM failure troubleshooting
Once NyxID is running and you've registered at http://localhost:3000, continue to 2. Pick a workflow.
For production deployment (TLS, custom domain, email verification), see docs/DEPLOYMENT.md.
2. Pick a workflow
With a NyxID account, pick the workflow that matches what you want to build and use the identity its guide requires. Each is a step-by-step procedure that ends with a working integration; the guides are independent and can be completed in any order.
Quickstart | Outcome | NyxID capability |
Submit prompts from text, files, or stdin; inspect, wait for, and cancel durable work using a first-party owner login. The CLI runs locally and uses your hosted or self-hosted NyxID instance. | Owner CLI and invocation API; requires server admission enabled | |
An n8n workflow pulls an RSS feed, summarizes each article with Gemini, and posts to Telegram — using one | Per-service credential injection | |
Two coding agents on one machine, each scoped to a distinct service and credential, attributed independently in the audit log. | Agent isolation, scoped Agent Keys | |
A private-host API is reachable from a cloud agent without VPN, port forwarding, or a tunneling service. | Credential Node, outbound-only NAT traversal | |
An OpenAPI spec is exposed as typed MCP tools to Claude Code / Cursor / VS Code / Codex with no MCP server code. | OpenAPI → MCP auto-wrap | |
A Supabase project becomes a credential-brokered PostgREST database for scoped AI agents. | Per-user endpoint + encrypted API key | |
Connect a cloud account through a shared or BYO OAuth app for scoped management API access. | PKCE OAuth, encrypted tokens, and refresh |
For a per-interface reference walkthrough that ends with
HTTP/1.1 200from your first proxied call (Web UI · CLI · AI-driven · Direct API), see the Connecting AI Services hub.
Connecting AI Services (interface reference)
Pick a workflow in Getting Started is organized by use case. For an interface-oriented reference that ends with a verified proxy call (HTTP/1.1 200) using your preferred entry point — Web UI, CLI, AI-driven (MCP), or Direct API — see docs/connecting-services/. The hub distinguishes external service credentials from NyxID Agent Keys and links to one walkthrough per interface.
Resources
Topic | Link | Description |
Quickstarts | End-to-end recipes — n8n, per-agent keys, node proxy, MCP wrapping | |
Connecting AI Services | Add your first (or Nth) AI Service — Web UI / CLI / AI-driven / Direct API | |
Setup | Optional self-hosted backend + troubleshooting (macOS, Linux, Windows via WSL) | |
Nyxbot Onboarding | Onboarding entry, existing integrations, and pending backend contracts | |
NyxBot CLI and API | Owner commands, invocation lifecycle, security boundaries, and rollout | |
Deployment | Start here for production setup | |
AI Agent Playbook | Start here for agent integration | |
Architecture | System design and data flows | |
Service Monitoring | Scoped chrono-probe status, owner configuration, and explicit checks | |
API Reference | Full endpoint documentation | |
Credential Nodes | NAT traversal setup | |
MCP Integration | MCP protocol details | |
SSH Tunneling | Remote host access over WebSocket | |
Security | Threat model and hardening | |
Environment Variables | Full config reference | |
Telemetry | Opt-in usage analytics — hot-swap contract, event taxonomy, consent + GDPR erasure | |
Developer Guide | Local development setup |
Contributing
We welcome contributions. See CONTRIBUTING.md.
License
Available Tools
4 toolsnyx_exchange_identityA
Exchange the agent's NyxID identity for a delegated access token bound to a downstream OIDC service (RFC 8693 token exchange). Lets the agent call APIs on behalf of a specific user without holding that user's long-lived credentials. The returned token carries the original user's identity claims while remaining auditable as an agent action.
| Name | Required | Description | Default |
|---|---|---|---|
| scope | No | Space-separated OAuth scopes to request on the exchanged token. Must be a subset of what the subject_user has approved for this agent. | |
| audience | Yes | Target downstream service identifier (resource URI or audience claim) the exchanged token should be valid for. | |
| ttl_secs | No | Requested token lifetime in seconds. Bounded by the audience's configured maximum (typically 900-3600 seconds). | |
| subject_user | Yes | User ID or email of the principal whose identity the agent is acting on behalf of. Must already exist in NyxID and have granted the agent delegation rights. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries full burden. It discloses that the tool performs token exchange, does not hold user credentials, and that the token carries user identity claims while remaining auditable. It doesn't cover rate limits or auth details, but is transparent about the core behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences only, with key information front-loaded. No wasted words, and every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers the purpose, mechanics, and security implications, but could mention prerequisites like existing delegation rights. Nonetheless, it is reasonably complete for the tool's complexity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with detailed parameter descriptions. The description adds context beyond the schema, explaining the overall delegation and auditing aspects, which enhances understanding of how parameters like subject_user and audience are used.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: exchanging the agent's NyxID identity for a delegated access token bound to a downstream OIDC service, citing RFC 8693. It uses a specific verb ('exchange') and resource, and distinguishes from sibling tools like nyx_list_services and nyx_proxy_request.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains the use case: letting the agent call APIs on behalf of a user without holding long-lived credentials. It provides clear context but does not explicitly mention when not to use or compare to alternatives.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nyx_list_servicesA
Enumerate the downstream services this agent can call through NyxID. Returns each service's slug, display name, base URL, auth method, configured rate limits, and (when an OpenAPI spec is available) its callable endpoints. Use this for tool discovery before issuing nyx_proxy_request — agent-key scope determines which services are visible.
| Name | Required | Description | Default |
|---|---|---|---|
| category | No | Optional filter by service category. Omit to list all categories. | |
| include_endpoints | No | When true, include the parsed OpenAPI endpoint list per service. Adds latency on services with large specs. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so description must carry burden. It mentions that include_endpoints adds latency and that agent-key scope affects visibility. No contradictions.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Two sentences: purpose then usage and return fields. No wasted words, well-structured.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
No output schema, but description lists all return fields (slug, display name, etc.) and mentions endpoint inclusion condition. Covers parameter effects and usage context completely.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage 100% means schema already describes parameters. Description adds latency note for include_endpoints but otherwise no additional semantics beyond schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Description clearly states it enumerates downstream services with specific fields returned (slug, display name, etc.). Differentiates from siblings by mentioning tool discovery before nyx_proxy_request.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly says 'Use this for tool discovery before issuing nyx_proxy_request' and notes agent-key scope determines visibility. Does not explicitly state when not to use, but context makes it clear.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nyx_proxy_requestA
Forward an HTTP request through NyxID to any downstream service the agent has been granted access to. NyxID injects the appropriate credential at proxy time so the agent never holds raw API keys. Supports cloud APIs (OpenAI, GitHub, Slack, Lark, Telegram, etc.), internal REST endpoints, and localhost services reached over a NAT-pierced credential node. Every call is rate-limited and audit-logged per agent identity.
| Name | Required | Description | Default |
|---|---|---|---|
| body | No | Request body for POST/PUT/PATCH. Object values are JSON-encoded; string values are sent verbatim. Omit for GET/DELETE. | |
| path | Yes | Path on the downstream service, beginning with '/'. NyxID prepends the service's base URL automatically. | |
| method | Yes | HTTP method for the downstream request. | |
| headers | No | Additional headers to forward. Authorization / API-key headers are injected by NyxID and MUST NOT be set here. | |
| service_slug | Yes | Slug of the connected service (e.g. "llm-openai", "api-github"). Use nyx_list_services to enumerate the slugs visible to this agent. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided, so the description carries full burden. It discloses credential injection, rate limiting, audit logging, and supported service types. It does not detail the response format or error handling, but covers key behavioral traits.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three sentences with no waste. Purpose is front-loaded, followed by capability examples and constraints. Every sentence adds value.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given no output schema, the description should mention the response format (e.g., returns the downstream response). It also omits details like timeout limits or size constraints. Adequate for a proxy tool but could be more complete.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, providing baseline 3. The description adds meaning: body encoding rules, header restrictions, path base URL prepending, and service slug enumeration via another tool. This exceeds the schema's descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool forwards HTTP requests through NyxID to downstream services with credential injection. It lists supported service types (cloud APIs, internal endpoints, localhost) and distinguishes itself from sibling tools like nyx_list_services by referencing them for service enumeration.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description explains when to use the tool (accessing downstream services) and includes explicit guidance to not set Authorization headers. It also references nyx_list_services for available service slugs. However, it does not explicitly contrast with nyx_exchange_identity or nyx_request_approval.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
nyx_request_approvalA
Request human approval before performing a sensitive action. NyxID delivers the request to the user via push notification (Telegram or mobile app) and blocks the agent until the user approves, denies, or the request times out. Use this for destructive operations, financial transactions, or any action where unattended automation is inappropriate. Approvals can be granted ad-hoc per call or via pre-configured grant rules.
| Name | Required | Description | Default |
|---|---|---|---|
| details | No | Optional longer description with the full context the user needs to decide. Keep under 1000 characters; rendered as plain text in the approval UI. | |
| service_slug | Yes | Slug of the service the agent will call after approval. Used to scope approval grants and audit logs. | |
| timeout_secs | No | How long to wait for a human decision before failing. Bounded by the user's configured maximum. | |
| action_summary | Yes | One-line summary of what the agent intends to do, written for a human reader (e.g. "Send $500 wire to vendor X", "Delete production database backup older than 30 days"). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description fully discloses key behaviors: it blocks the agent, delivers via push notification, and times out. However, it does not describe the return value or how the agent receives the decision (e.g., approved/denied), which is a minor gap.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Four efficient sentences front-load the purpose and mechanism, then provide usage guidance and options. Every sentence adds value with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The description covers purpose, usage, behavior, and parameter constraints. However, it omits any mention of the tool's output or return value, which is needed since no output schema exists.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the schema already documents parameters well. The description adds some context (e.g., timeout bounded by user max), but does not significantly enhance understanding beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states 'Request human approval before performing a sensitive action,' specifying the verb and resource. It differentiates from sibling tools like nyx_exchange_identity and nyx_proxy_request by focusing on human-in-the-loop approval for sensitive actions.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use: 'for destructive operations, financial transactions, or any action where unattended automation is inappropriate.' Also indicates alternative approval methods via pre-configured grant rules, helping the agent decide contextually.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
Scored across 4 tools
Each tool addresses a distinct function: token exchange, service discovery, proxied requests, and human approval. No two tools could be confused for the same purpose.
All tools follow the nyx_verb_noun pattern consistently (exchange_identity, list_services, proxy_request, request_approval). No mixing of styles.
Four tools is well-scoped for an identity-and-proxy server; each tool fills a necessary role without redundancy or excessive granularity.
The set covers the core lifecycle: identity exchange, service discovery, proxy calling, and human approvals. Minor gaps like token revocation or listing active approvals exist but are workable.
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