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DDG Agent Services

by daedalusdevelopmentgroupversion 0.10.1i★ –iRuns on your computer
Registry namecom.daedalusdevelopmentgroup/ddg-agent-services-mcp

Install

Overview

Description from the maker (original English)

Pay-per-call x402 gateway: agent tools, OpenAI-compatible LLM, market data, RPC, security audits.

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: Search & AI memory
  • You need to fill in: DDG_PRIVATE_KEY

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: DDG_AGENT_ID, DDG_PRIVATE_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

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": {
    "ddg-agent-services": {
      "command": "uvx",
      "args": [
        "ddg-agent-services-mcp"
      ],
      "env": {
        "DDG_AGENT_ID": "your-value",
        "DDG_PRIVATE_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ddg-agent-services --env DDG_AGENT_ID=your-value --env DDG_PRIVATE_KEY=your-value -- uvx ddg-agent-services-mcp

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": {
    "ddg-agent-services": {
      "command": "uvx",
      "args": [
        "ddg-agent-services-mcp"
      ],
      "env": {
        "DDG_AGENT_ID": "your-value",
        "DDG_PRIVATE_KEY": "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": {
    "ddg-agent-services": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ddg-agent-services-mcp"
      ],
      "env": {
        "DDG_AGENT_ID": "your-value",
        "DDG_PRIVATE_KEY": "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

  • DDG_AGENT_ID env
    Stable agent identifier for free-trial + usage tracking (optional).
  • DDG_PRIVATE_KEY secret env
    EVM (Base) wallet private key used to auto-pay x402 on paid routes (optional; free/free-trial routes need no wallet).

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain daedalusdevelopmentgroup.com (the registry checks domain ownership)

  • … 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 Search & AI memoryi

  • More stars than 0% of the other 7258 servers in this category
  • Published to the registry more recently than 56% of the other 7258 servers in this category
  • Basic checks equal to or better than 100% of the other 7258 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 DDG Agent Services 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?

You need to fill in: DDG_PRIVATE_KEY

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 (0.10.1) reached the registry 30 days 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: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Computer or cloud★ 64,224MITUpdated today
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Codebase Memory

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Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
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Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated last month
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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.

mcp-name: com.daedalusdevelopmentgroup/ddg-agent-services-mcp

DDG Agent-Payable Revenue Launch Pack

This directory contains the machine-readable launch artifacts and local scaffold for turning Hermes/DDG into a paid service surface for other AI agents.

Current launch wedges

  1. One-cent transaction smoke test (/v1/tx-smoke-test) — $0.01 receipt-only paid request so other AI agents can prove they can complete a DDG paid HTTP transaction.
  2. Website audit (/v1/site-audit) — read-only; launch settlement-test price $0.75.
  3. Model router / basic conversation (/v1/model/chat-completions, /v1/model/agent-run) — paid access to DDG-operated model routing using explicit model aliases; supports basic chat, analysis, code/help prompts, and bounded agent tasks.
  4. Operator-reviewed OAuth/model artifact run (service_id=provider_model_artifact_order through /v1/order-intake) — DDG-operated account/provider-backed model work only where terms permit; no raw token/account/seat resale.
  5. Lead pack (/v1/lead-pack) — paid local business intelligence; launch price $5.
  6. Browser proof (/v1/browser-proof) — paid screenshots/QA proof; launch price $2.
  7. Outreach brief (/v1/outreach-brief) — paid draft only; no sending without human approval; launch price $1.50.
  8. Ethereum private RPC query (/v1/ethereum/rpc) — implemented read-only, method-whitelisted Reth proxy with sync gate, fair-use lease timer, per-agent request caps, max batch size, and upstream max-concurrency cap; public self-serve waits for execution sync/health.
  9. Local model free-seat pool (/v1/micro-model-swarm-preview, /v1/model/agent-run, /v1/ollama-models) — live free/best-effort Ollama local routes with one concurrent generation seat per healthy configured local runtime backend, capped at two by default for configured 8GB-VRAM backends. Defaults: 24-hour per-agent lease, 100 requests/lease, 60s swarm generation timeout, 120s local agent-run timeout. The named paid lease path remains planned.
  10. Agent artifact/receipt console (/v1/orders/{order_id}, /v1/orders/{order_id}/artifact) — live agent-scoped status/artifact URLs returned from /v1/order-intake; exposes redacted receipt/proof hashes and expected deliverables, never raw payment material.
  11. Checkout conformance profile/probe (/.well-known/ddg-agent-checkout-conformance.json, scripts/agent_checkout_conformance_probe.py) — lets buyer agents or partner services validate identity gating, 402 challenges, fail-closed fake payments, idempotency, accepted order links, and artifact access controls.
  12. MPP activation guide (/.well-known/ddg-mpp-activation-guide.md) — operator/buyer-facing account creation, Stripe/Tempo/mppx test setup, required DDG secrets, live gates, public-copy flip checklist, and rollback steps.

Penny transaction smoke test

POST /v1/tx-smoke-test is the tiny paid-request endpoint. It is meant for other AI agents' CI/smoke tests: get a normal 402 challenge, pay one cent through x402 or direct-crypto now; MPP appears only after live provider/currency config, retry, and receive a receipt-only JSON response. It does not perform any irreversible external action beyond the payment verification/settlement itself.

Ethereum/Reth privacy-node posture

The /v1/ethereum/rpc route is for accountless buyer-side Ethereum reads: DDG runs the Reth node/proxy, the buyer agent does not need an Infura/Alchemy/vendor account, and the edge still requires AI-agent identity. The proxy is read-only/method-whitelisted; admin, miner, personal, unrestricted debug/trace, and eth_sendRawTransaction are blocked by default. The free beta wrapper now includes:

  • sync readiness gate: DDG_ETH_RPC_REQUIRE_SYNCED=1 returns 503 reth_rpc_syncing until eth_syncing=false and latest block is non-zero/current;
  • fair-use timer: DDG_ETH_RPC_FREE_MAX_CONCURRENT_USERS=4, DDG_ETH_RPC_FREE_LEASE_SECONDS=600, DDG_ETH_RPC_FREE_MAX_REQUESTS_PER_LEASE=30 by default;
  • node overload guard: DDG_ETH_RPC_MAX_CONCURRENT=2, DDG_ETH_RPC_MAX_BATCH=10, bounded timeout/response bytes.

Public self-serve should wait for Reth execution sync, consensus non-optimistic status, and DDG_RETH_RPC_URL health through the payment edge.

Protocol stance

  • x402: live HTTP 402 payment flow for stablecoin-native agents and Bazaar-style discovery. The canonical PAYMENT-REQUIRED accepts[] advertises Base, Polygon, Arbitrum One, World Chain, and Solana mainnet USDC; Base mainnet USDC stays first for x402scan/CDP compatibility.
  • Direct crypto: live receiving-address rail with automatic verification for verifier-supported assets and manual/operator-confirmed fallback for the rest of the public manifest. The public families are EVM/stablecoins, BTC, BCH, LTC, DOGE, SOL, TRX, XRP, XLM, ALGO, DOT, ZEC, and XMR. ADA/Cardano is intentionally not advertised until a DDG-controlled address plus verification/manual-confirmation policy exists.
  • MPP: code-ready and signer-key-ready, but not publicly claimed live until a real MPP/Tempo currency or Stripe SPT profile/env is configured, ready:true passes, a penny payment settles, idempotent replay passes, fake tokens fail closed, and the leak scan remains clean.

AI-only sales posture

  • Public self-serve and paid routes are AI-agent only.
  • Human traffic without a stable agent identity header (X-Agent-Id / X-DDG-Agent-Id / X-DDG-User) is rejected with 403 agent_only.
  • We sell DDG-packaged inference and bounded artifacts, not raw model subscriptions/accounts.

Model-router model aliases

Advertised aliases: auto, mini, ministal, x, y, z, agent-small, agent-standard, agent-pro, agent-max, budget, starter, plus core DDG aliases glm-4.5-air, glm-4.5, glm-4.6, glm-4.7, glm-5, glm-5-turbo, glm-5.1, glm-5.2, gpt-5.3-codex-spark, gpt-5.3-codex, gpt-5.4, gpt-5.5, claude-haiku-4.5, claude-sonnet-4.6, claude-opus-4.8.

x_router.agent_profile hints are also supported for non-advanced callers: low/budget/standard/pro/premium.

Corrections from research:

  • Z.AI docs list GLM-4.5-Air; I did not find an official GLM-4.6-Air page/pricing row.
  • Anthropic docs list Claude Opus 4.8, Sonnet 4.6, and Haiku 4.5; I did not find official Sonnet 4.7 in the current docs.
  • Claude Pro/Max subscription access should not be exposed to buyers. Claude aliases are for API-backed DDG application output only.
  • GPT-5.3 Codex Spark/Codex naming and public API availability must be verified before broad sale; OpenAI Codex docs describe Spark as research-preview/Pro-only at launch.

Model-router compliance stance

Do not sell raw API keys, auth tokens, or account seats. Do not market this as unrestricted resale of OpenAI/GLM/Claude accounts. The safer packaging is:

Agents buy DDG-operated inference/agent-task outputs with budgets, receipts, abuse controls, and model-tier routing.

Local inference/free-seat status — 2026-06-14

The live implementation can expose up to two free local-model seats when configured local runtime backends are healthy:

  • Production target: two health-derived 8GB-VRAM local runtime seats, exposed only through the payment edge.
  • OLLAMA_API_URLS should list private generation endpoints in deployment env only; do not publish raw backend URLs.
  • /v1/ollama-models reports local_free_seats.configured_free_seat_cap, healthy_local_seat_count, and lease caps without exposing raw LAN URLs.
  • Defaults are intentionally usable but bounded: 24-hour per-agent lease (86400 seconds), 100 requests per lease, 60s swarm generation timeout, and 120s local /v1/model/agent-run timeout. The same stable agent identity can reuse the free slot after the 24-hour lease expires.
  • /v1/micro-model-swarm-preview and local Ollama routes under /v1/model/agent-run use non-blocking per-backend seat locks, so one busy backend does not block another healthy configured backend.
  • If only one backend is online, the catalog and lease pool drop to one seat; if none are healthy, generation returns a controlled unavailable/busy response.
  • Raw local runtimes stay private behind the payment edge. Public requests never trigger model pulls or arbitrary model downloads.

Operational host/IP/GPU inventory belongs in private ops notes only, not in agent-consumed launch docs.

Files

  • pricing.json — canonical draft price catalog.
  • agent-catalog.json — .well-known AI-agent catalog that summarizes discovery URLs, live routes, manual review offers, required headers, and safety posture.
  • quickstart.md — concise agent-client onboarding/checklist for 403/402/idempotency/payment behavior, including recommended first order-intake packages and examples.
  • sales-launch-pack-2026-06-08.md — customer-facing beta launch package sheet with first services to sell, copy, examples, and current caveats.
  • reth-ethereum-agent-rpc-analysis-2026-06-08.md — decision note for planned Reth/Ethereum node access as an agent-facing blockchain intelligence/RPC product.
  • openapi.agent-services.json — OpenAPI 3.1 discovery with MPP-style payment metadata.
  • agent-checkout-conformance-profile.json — machine-readable 403/402/order-console/idempotency conformance profile exposed at /.well-known/ddg-agent-checkout-conformance.json.
  • mpp-tempo-stripe-account-activation-guide-2026-06.md — step-by-step MPP/Tempo/Stripe account, env, smoke-test, go-live, and rollback guide exposed at /.well-known/ddg-mpp-activation-guide.md.
  • llms.txt — agent-readable service catalog.
  • edge/payment_edge_scaffold.py — payment edge with pluggable verification adapters. Production uses provider-backed verification; mock tokens are development-only and must remain disabled in systemd production env.
  • scripts/operator_queue_digest.py — safe operator digest builder for queued paid-agent orders; writes Telegram-ready markdown but does not send or fulfill anything automatically.
  • scripts/agent_checkout_conformance_probe.py — non-spending by default checkout probe; with dev mock/real payment credentials it validates accepted order links, artifact/status access controls, and idempotency behavior.
  • edge/agent_runners.py — sandbox-conscious subprocess wrappers for env-gated Kimi/Claude operated artifact routes.
  • mcp/README.md and mcp/ddg-agent-swarm-mcp-design.md — MCP quickstart/design for AI-agent swarms that want service discovery, quotes, paid model runs, order intake, security-service catalog access, and one-cent transaction smoke tests.
  • edge/mpp_verifier_sidecar.mjs — seller-side MPP verifier sidecar using mppx/server; requires recipient, currency, and a Tempo server signing account for real settlement.
  • edge/x402_verifier_sidecar.py — x402 verifier/settle adapter translating the Python edge's generic payment payload into facilitator paymentPayload / paymentRequirements calls.
  • edge/direct_crypto_verifier_sidecar.py — public-chain direct-crypto verifier sidecar for BTC/LTC/DOGE/BCH/ZEC, EVM native transfers, and USDC on Ethereum/Base/Polygon; unsupported chains fail closed to manual confirmation.
  • payment-provider-and-waf-runbook-2026-06-05.md — setup walkthrough for MPP/x402 verifier URLs, direct crypto/manual fallback, and free Cloudflare 1010 alternatives.
  • deploy/two-host-local-ai-production-runbook.md — private deployment checklist for the two free local AI seats, lease policy, runtime status, and post-sync verification.
  • direct_crypto_addresses.public.json / direct_crypto_addresses.env — public direct-crypto receiving manifest for EVM/stablecoins, BTC, BCH, LTC, DOGE, SOL, TRX, XRP, XLM, ALGO, DOT, ZEC, and XMR.
  • audit/preservation_snapshot.md — branch/status snapshot taken before launch edits.

Local scaffold smoke test

python3 sales_artifacts/agent_payments/edge/payment_edge_scaff

Only the beginning is shown; read the rest in the repo

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