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Delego

by Delego-Devversion 0.3.4i★ –iRuns on your computer
Registry nameio.github.Delego-Dev/delego

Install

Overview

Description from the maker (original English)

Intent-bound action authorization for AI agents: policy, human approval, and a signed audit trail.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: DELEGO_HOME

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "delego": {
      "command": "uvx",
      "args": [
        "delego"
      ],
      "env": {
        "DELEGO_HOME": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add delego --env DELEGO_HOME=your-value -- uvx delego

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "delego": {
      "command": "uvx",
      "args": [
        "delego"
      ],
      "env": {
        "DELEGO_HOME": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "delego": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "delego"
      ],
      "env": {
        "DELEGO_HOME": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • DELEGO_HOME env
    Directory holding the policy, signing keys, and audit ledger (defaults to ~/.delego). Set this to keep state project-scoped, e.g. /abs/path/to/project/.claude/.delego.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account Delego-Dev, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32489 servers in this category
  • Published to the registry more recently than 12% of the other 32489 servers in this category
  • Basic checks equal to or better than 100% of the other 32489 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Delego safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.3.4) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Whisper

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

delego

Website: delegohq.com · Docs: delegohq.com/docs · Spec: Delego-Dev/specification

Intent-bound action authorization for AI agents. It sits between an agent and whatever credential broker holds the user's secrets, and it answers the one question brokers don't: *is this specific action the thing the human actually asked for?*

   agent  ──propose──▶  delego  ──if allowed──▶  credential broker  ──▶  service

(LLM) (policy + (Agent Vault / (bank, approval + OneCLI / SaaS, audit) Browser Use…) API) │ └── needs_approval ──▶ human (CLI)

📜 Protocol: delego implements protocol 0.3 of the open delego wire specification — canonicalization, the policy schema, intent/fingerprint binding including the §4.2 query-fold, and the signed audit chain. The authorization token (spec §9) is an optional profile, not yet implemented.

Why this exists

The "agent gets its own scoped credential, and never holds the user's secret directly" pattern is now a crowded, converging space — Infisical's Agent Vault, OneCLI, Browser Use, Nango, and others all do credential brokering.

The harder problem sits one level up — the confused deputy: the agent holds a *valid* credential, a prompt injection redirects it, the scope *covers* the action, so the broker happily injects the secret and the action goes through. The credential is the wrong place to catch this — it's valid. OAuth tokens carry no commitment to the original instruction.

Authorising the *action* (not just the credential) is an active area — see deterministic policy engines (OPA/Cedar, Permit), human-in-the-loop approval (HumanLayer), MCP gateways/firewalls, and the "pre-action authorization" line of research. delego is a small, deterministic, local, Apache-2.0 reference for it: no LLM in the decision path, no credential custody, approvals bound to the exact action fingerprint, and a signed, hash-chained audit trail — riding the existing broker layer rather than competing with it.

What it is / isn't

  • Is a decision-and-audit layer. Deterministic policy, human approval for sensitive actions, signed append-only audit ledger.
  • Isn't a credential vault or a proxy. It delegates execution to a broker through a thin BrokerAdapter interface — you ride the existing layer instead of rebuilding it.
  • Authorisation is pure Python, no LLM in the loop. A model can advise upstream; the decision that gates a credential is made outside the stochastic loop, so an injection can't talk its way past it.

Key properties

  1. Intent binding — every action carries a hash of the original human instruction, recorded in the audit ledger and re-checked at resolve time, so an approval cannot be re-pointed at a different claimed instruction.
  2. Action-bound, single-use approval — a human "yes" is bound to one exact action fingerprint. An agent that gets approval for action A cannot reuse it to run action B (the confused-deputy guard), and cannot replay the *same* approval to run action A twice — an approval releases its action exactly once.
  3. Tamper-evident audit — receipts form an Ed25519-signed hash chain. Editing, reordering, removing a receipt, or dropping a field breaks verification, which reports the fault rather than trusting the ledger. *Caveats (be precise):* hash-chaining does not catch truncation of the most recent receipts (a tail-truncated prefix verifies clean), and the local signing key protects nothing against a host compromise. For rollback detection, anchor the head externally and pass it to verify(expected_head=…); for key safety, use an HSM/KMS. See SECURITY.md.

Quickstart

pip install delego          # the `delego` library + CLI

pip install "delego[mcp]" # add the delego-mcp server (MCP is an optional extra)

delego init # creates ~/.delego with signing keys and an example policy delego policy # inspect the active policy

To run the full loop end-to-end from a clone — an allowed read, a forbidden deny, an over-cap deny, an approval flow, the confused-deputy guard refusing a substituted action, and audit-chain tamper detection (no agent or live service needed):

git clone https://github.com/Delego-Dev/delego && cd delego

pip install -e ".[dev]" python examples/demo.py pytest

Human side (CLI)
delego policy            # show the active policy

delego pending # list actions awaiting approval delego approve apr_xxxx # release a parked action (or: delego deny apr_xxxx) delego log -n 20 # read recent receipts delego verify # check the audit chain (hashes, linkage, signatures)

Agent side (MCP) — wiring into Claude Code

delego ships an MCP server (delego_mcp) over stdio — install it with the mcp extra: pip install "delego[mcp]". Register it in your MCP config (for Claude Code, .mcp.json at the project root) so the agent can propose actions. Set DELEGO_HOME to keep the policy, signing keys, and ledger project-scoped under .claude/.delego:

{

"mcpServers": { "delego": { "command": "delego-mcp", "env": { "DELEGO_HOME": "/abs/path/to/project/.claude/.delego" } } } }

Initialise that home and approve from the same one (the CLI and MCP server must share a home):

delego --home .claude/.delego init       # keys, example policy, and a .gitignore

delego --home .claude/.delego pending # ...then: delego --home .claude/.delego approve apr_xxxx

If DELEGO_HOME is unset, the CLI also auto-uses ./.claude/.delego when run from the project root, falling back to ~/.delego. (Use an absolute path in the MCP env, since the server's launch directory isn't guaranteed.)

Tools exposed:

toolwhat it does
delego_propose_actionsubmit an action; returns allow / deny / needs_approval
delego_resolve_actioncomplete an approved action (fingerprint must match)
delego_pendinglist actions awaiting human approval (read-only)
delego_audit_tailread recent receipts
delego_show_policyshow the active policy

Approving and denying are deliberately not exposed over MCP — the agent that proposed an action must never be able to approve it; a human decides out-of-band.

Typical flow: the agent calls delego_propose_action. If it comes back needs_approval with an approval_id, a human runs delego approve , then the agent calls delego_resolve_action with the identical action to complete it.

Policy format

A rule matches on method / host / path (glob) / path_contains, decides allow or needs_approval, and can attach constraints. Order is forbidden (hard deny) → rules (first match wins) → default. A matched rule whose constraints fail becomes a deny (fail-closed). See policy.example.yaml.

rules:
  • name: place-order decision: needs_approval match: { method: POST, host: api.example.com, path: /orders } constraints: amount: { field: amount, max: 5000, currency: USD } allow_list: { field: destination, in: [internal] }

Supported constraints: amount (cap + currency), allow_list (field-in-set), rate_limit (max per minute/hour/day, counted from the ledger).

Build on delego

Three ways to use it, lowest friction first:

  • As an MCP server — delego init, add the delego-mcp server to your MCP config, and your agent proposes actions instead of executing them. No code.
  • As a library — pip install delego, write a policy + a BrokerAdapter, and call fw.propose(...) in your tool-call path.
  • Behind a service — wrap the Firewall in an HTTP API so many agents share one decision point and one audit chain.

The one extension point is the broker — where your credential lives and the authorised action actually runs. delego never holds the secret:

  • NullBroker (default) — simulates execution; for demos and tests.
  • HTTPProxyBroker(gateway_url) — forwards the authorised action to an external credential gateway (OneCLI / vault / proxy) that injects the secret upstream.
  • Your own — implement execute(action) -> dict against the BrokerAdapter protocol in delego/brokers.py.

▶ [Delego-Dev/sample-app](https://github.com/Delego-Dev/sample-app) — a FastAPI service built on the published package, with the full propose → approve → resolve loop and a copy-paste curl walkthrough. The best starting point for building your own.

See [ROADMAP.md](ROADMAP.md) for where delego is going and where to help.

Status

  • Implemented (protocol 0.3): the policy engine, intent hashing, action fingerprinting with the URL query folded into the fingerprint (spec §4.2 — /orders?to=me and /orders?to=attacker are different actions), the confused-deputy guard, intent-bound + single-use human approvals, the signed, hash-chained audit ledger with verification and an external head-anchor check (delego verify --expected-head), and the §9 authorization token (optional profile) — a short-lived, EdDSA-signed JWS a separated broker verifies before injecting a credential (build_firewall(..., mint_tokens=True); verify_token / require_fingerprint).
  • Single-writer daemon (delego daemon): one long-running process owns the ledger, so every client routes through it and rate_limit is exact across all of them — not just one host's file lock. The CLI's approve/deny/pending auto-route to a running daemon. Optional: with no daemon, everything works file-backed as before.
  • Brokers: the default NullBroker holds no credentials and makes no real request — it records what *would* be sent (for demos and tests). HTTPProxyBroker forwards an authorised action — and its authorization token — to an external credential gateway; or write your own against the BrokerAdapter protocol in delego/brokers.py.
  • Not yet: the MCP agent surface auto-routing to the daemon (it still talks to the firewall directly — wiring it is the next step), a TCP/cross-host daemon transport (it's a local Unix socket today), and a non-MCP HTTP surface.
  • Known limitations: without the daemon, concurrent writes to the file-backed ledger and approval store are serialised with an OS file lock (corruption-safe), and a rate_limit is exact only among processes sharing one home on one host. Run `delego daemon` for exact rate limits across all clients (one writer). The daemon serializes one action in flight at a time (a reserve-then-execute throughput optimization, and a TCP transport for other hosts, are future work). Path globbing is coarse (** and * collapse).

License

Licensed under the Apache License 2.0.

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