GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Self-hosted NVIDIA NIM API-key manager with a Claude MCP connector; deploy your own instance.
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Pick the AI app you use, then copy the settings.
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Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
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It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 4 months ago.
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In the same category: GitHub, Desktop Commander, Cloudflare MCP
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GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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Self-hosted, production-ready manager for the API keys of _your own_ NVIDIA Build/NIM account — encrypted storage, assisted rotation, expiry detection, usage stats, projects, RBAC, audit, a web dashboard, and a Claude MCP connector. Deploy your own instance in a few minutes; everything is configured through environment variables.
Not affiliated with NVIDIA. This is an independent open-source project: it is not affiliated with, endorsed by or sponsored by NVIDIA Corporation. "NVIDIA", "NVIDIA Build" and "NIM" are used only to say which service the software works with; product and company names belong to their respective owners.
NVIDIA Terms of Service. NVIDIA Build offers no public API to create or rotate keys programmatically (you generate them at build.nvidia.com), and API keys must not be shared or redistributed to third parties. This project is therefore designed for you to manage your _own_ keys on your _own_ instance: the only outbound call is the official read-only validation endpoint
GET https://integrate.api.nvidia.com/v1/models. It does not automate or scrape the NVIDIA portal, and it is not a service for handing your keys to other people.
render.yaml and provisions everything automatically:JWT_SECRET, ENCRYPTION_MASTER_KEY and MCP_OAUTH_JWT_SIGNING_KEY (generated and stored by Render's secret manager),DATABASE_URL injected from the database.FIRST_ADMIN_EMAIL and FIRST_ADMIN_PASSWORD (your initial admin, created on first boot; required, because no HTTP request can create the first administrator)./, explore the API at /docs.main runs CI (lint + types + tests + build) and Render redeploys it automatically once all the checks pass (a failing commit is not deployed). Migrations (alembic upgrade head) run on container start.Prefer another host? Any platform that runs a Docker container + PostgreSQL works — see docs/deployment.md.
The same deployment exposes a Model Context Protocol server at ‹BASE›/mcp so you can add it to Claude as a custom connector. Claude authenticates with OAuth 2.1 (GitHub by default, Google optional) and can list/inspect keys, dispense a ready-to-use key, register/rotate/revoke and manage projects — with the same RBAC and audit trail as the REST API. Only identities in MCP_ALLOWED_IDENTITIES may connect (fail-closed). The connector is optional: until you set the OAuth credentials below, /mcp stays off and everything else runs normally.
‹BASE›/auth/callback; copy the Client ID/Secret.MCP_GITHUB_CLIENT_ID, MCP_GITHUB_CLIENT_SECRET and MCP_ALLOWED_IDENTITIES (your numeric GitHub user id and/or e-mail, not your login: curl -s https://api.github.com/users/YOUR-LOGIN | jq .id; users the connector creates are viewers unless you set MCP_DEFAULT_ROLE). The rest is already in render.yaml.‹BASE›/mcp → Connect.Full guide (Google, tool reference, security, troubleshooting): docs/connector.md.
rotated_from_id lineage link).expiring_soon flag.GET /api/v1/keys/dispense returns the least-recently-used active key (LRU), globally or per project, recording usage.admin/manager/viewer, rate limiting, immutable audit of every sensitive operation./mcp (see above)./metrics (behind an admin token or METRICS_TOKEN), health check at /health, OpenAPI at /docs.app/
├── domain/ # Enums and domain exceptions (no dependencies) ├── application/ # Use cases (services) and ports (interfaces) │ └── services/ # auth, users, keys, projects, stats, audit ├── infrastructure/ # Adapters: SQLAlchemy (repositories) and NVIDIA gateway ├── api/ # FastAPI: routers, schemas, deps, rate limiting ├── mcp/ # Claude connector: MCP server, OAuth and identity mapping ├── dashboard/ # Lightweight SPA served at / ├── tasks/ # Scheduled jobs (APScheduler) └── core/ # Config, crypto, security, logging
Pragmatic Clean Architecture: dependencies point inward; the application layer knows nothing about FastAPI and reaches NVIDIA through the KeyValidator port. Details and decisions in docs/architecture.md.
Stack: Python 3.12 · FastAPI · FastMCP (Claude connector) · SQLAlchemy 2 (async) · managed PostgreSQL · Alembic · Docker · GitHub Actions · Render (Blueprint) · structlog · Prometheus · slowapi · APScheduler.
BASE=https://your-service.onrender.com
TOKEN=$(curl -s $BASE/api/v1/auth/login -H 'Content-Type: application/json' \ -d '{"email":"you@example.com","password":"your-password"}' | jq -r .access_token)
curl -s $BASE/api/v1/keys -H "Authorization: Bearer $TOKEN" -H 'Content-Type: application/json' \ -d '{"name":"prod-1","api_key":"nvapi-...","validate_remote":true}'
curl -s "$BASE/api/v1/keys/dispense" -H "Authorization: Bearer $TOKEN"
More examples (rotation, projects, stats, audit) in docs/api-examples.md. Interactive OpenAPI at /docs.
| Operation | viewer | manager | admin |
|---|---|---|---|
| View keys, projects and stats | ✅ | ✅ | ✅ |
| Register / validate / rotate / revoke / dispense keys | ❌ | ✅ | ✅ |
| Manage projects | ❌ | ✅ | ✅ |
| Delete keys, manage users, read the audit log | ❌ | ❌ | ✅ |
Not required to deploy, but fully supported:
pip install -e ".[dev]"
pytest --cov=app # required coverage gate: 85% (currently ~94%) ruff check . && mypy app docker compose up # local stack with PostgreSQL
Threat model, cryptographic details and design decisions in docs/security.md. Key points: AES-256-GCM encryption with a key derived (HKDF) from the secret manager, SHA-256 fingerprints to deduplicate without exposing the secret, short-lived signed JWTs, argon2 password hashing, per-IP rate limiting, audit of every sensitive operation, and no plaintext keys in logs or responses except the explicit dispense endpoint. To report a vulnerability, see SECURITY.md.
Contributions are welcome — see CONTRIBUTING.md and the Code of Conduct. A short Spanish overview is available in README.es.md.
MIT — see LICENSE.