qonto-assistant/specs/ArchitectureBlueprint.md

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Architecture Blueprint — Governed Qonto Assistant

Status: blueprint v0.2 — 2026-07-21 (revised after repo review)
Repo: qonto-assistant (canonical home).
Context: BINKY-WP-0005 finished (live OpenBao lane + first read-only pull).
Question: how do multiple coding agents / harnesses interact with Qonto conveniently and under one policy, without wiring vendor MCP into each client and accepting policy drift?
Related: INTENT.md, research/2026-07-21-mcp-gateway-and-governed-domain-assistant.md, binky-control integrations/qonto-mcp.md, AutonomyPolicy, agent-harness ADR-001, ops-warden catalog binky-qonto-api, CCR-2026-0008.


1. Problem

We already can:

  1. Fetch company Qonto credentials from OpenBao (tenants/binky/qonto-api).
  2. Call Qontos thirdparty REST API (proven: first pull, CostRunRate v2).
  3. Map those credentials into the self-hosted qonto/qonto-mcp-server env shape (QONTO_API_KEY / QONTO_ORGANIZATION_ID).

What we must not do as the long-term pattern:

  • Install vendor MCP (or raw API keys) into Claude Desktop, Claude Code, Codex, Cursor, Grok, agent-harness, executor-worker, etc. separately.
  • Rely on each harnesss local tool allow-list as the only spend control.
  • Hope every client remembers “read-only forever.”

Why that fails:

Failure mode Effect
Policy drift One harness allows a write tool; another forbids it. Same company key, different blast radius.
Credential sprawl Keys appear in N configs, Docker args, session env dumps.
Audit fragmentation No single log of “which agent did what to the bank.”
Qonto cannot help Business API keys are not scope-limited server-side (confirmed in design). There is no “read-only API key” or MCP-side spend ACL from Qonto.
Volume-cost tools Cards, invoicing, payment requests, transfers, and some “create” operations may incur fees or move money — must be blocked before the vendor sees them.

Founder policy for now (normative intent):

Agents may inspect balances, transactions, and statements for control-plane and finance awareness. Agents must not initiate spending, transfers, card operations, or any action with volume/transaction cost. Payments stay Red lane (human in Qonto app).

That is stronger than “read-only MCP tools” in the abstract: it is a business policy that must be enforced at a choke point, not a client preference.


2. What industry patterns say

Research (20252026 MCP ecosystem) converges on the same shape your proxy intuition already points at.

2.1 MCP gateway / proxy as the control plane

Production patterns treat MCP clients (agent harnesses) as untrusted for tool policy, and put a gateway between them and tools:

  • Envoy AI Gateway MCPRoute — multiplex backends, toolSelector allow/deny, OAuth on the gateway, upstream API-key injection so clients never hold vendor secrets, CEL rules on tools/call params.
  • Kong AI Gateway MCP Tool ACLs — default-deny, per-consumer tool subsets at the gateway (solves “all-or-nothing” MCP exposure).
  • Speakeasy / Portkey / Permit MCP Gateway framing — authn, RBAC, audit of every tool call, policy evaluated on each call, not only at connect time.
  • Harnesss own MCP guidance — gateways for centralized credentials, governance, audit, single endpoint vs N direct MCP connections.

Common lesson: clients connect to one governed endpoint; the gateway owns credentials, tool inventory, and policy.

2.2 MCP security best practices (protocol-level)

From MCP security guidance and industry write-ups:

Practice Application to Qonto
No token passthrough Clients must not present the Qonto bank key. The assistant service is the only OAuth/API client to Qonto.
Tool-level scopes, not server-level “Access to Qonto MCP” is too coarse; allow list_transactions, deny create_transfer.
Default deny Unknown tools fail closed.
JIT escalation for high privilege Any future spend path is Yellow/Orange/Red with explicit re-authorization — never session-global “write mode.”
Confused-deputy / static client ID If the service ever OAuth-proxies, consent and audience binding matter; for API-key custody we avoid OAuth to Qonto entirely.
Audit end-to-end Actor (harness/agent id) + tool + args hash + decision + latency; no secrets in logs.

2.3 Domain capability service (not “another harness”)

A second pattern, older than MCP: BFF / capability API for a domain (banking, email, CRM). Agents call a narrow, policy-shaped interface (“get runway snapshot”) rather than the full vendor surface. That is how email-connect already behaves for IMAP: consumer never holds IMAP secrets in the product path; it goes through custody + a purpose-built reader.

llm-connect is the wrong home for this: it is multi-provider LLM abstraction (adapters, routing, cost models). Putting bank tools there blurs the layer map (ARCHITECTURE-LAYERS.md) and couples finance policy to model routing.

agent-harness is the wrong home for Qonto policy itself, but the right home for session binding: harness ADR-001 already says the harness is the credential holder and policy enforcement point for agent sessions. That must not mean “each harness reimplements bank policy.” It means the harness only grants agents a named tool profile that talks to already-governed domain services. Domain policy lives below the harness.

2.4 Synthesis

Pattern Use for Qonto?
Wire vendor MCP into every harness No — policy drift, key sprawl
Generic MCP gateway only (Envoy/Kong in front of vendor MCP) Partial — good transport + tool filter; weak on semantic spend rules and finance-shaped tools
Governed domain assistant (our MCP + REST, policy inside) Yes — recommended
Flex-auth decisions on every call Yes — who may call; lane/risk attributes
OpenBao + ops-warden for bank key Yes — already live; only the assistant fetches

Your “qonto-proxy governed API & MCP service” is the right class of solution. Name it as a capability assistant, not only a dumb reverse proxy: it should own a safe tool surface, not only filter someone elses.


3. Goals and non-goals

Goals

  1. One policy for “no spend / no volume-cost actions” across all agents.
  2. One credential path (existing OpenBao lane); harnesses never see bank keys.
  3. Convenient agent UX: natural “ask the finance assistant” via MCP and/or small REST helpers used by scripts and rhythm sessions.
  4. Auditability: every call attributable to agent/harness/session.
  5. Fits NetKingdom: flex-auth, OpenBao, ops-warden, agent-harness instances, activity-core schedules — no parallel IAM.
  6. Dogfood-ready: internal use is product evidence (DogfoodPolicy).

Non-goals (v1)

  • Replacing DATEV / StB / DUO accounting.
  • Automating payments, SEPA, card issuance, expense submission.
  • Hosted Qonto OAuth connector (mcp.qonto.com) as corporate custody path.
  • Making llm-connect a tool gateway.
  • Per-harness custom Qonto integrations.

4.1 One-liner

Build a small “Qonto Governed Assistant” service that is the only component allowed to hold the bank API key and speak Qontos protocol. Expose a policy-shaped MCP server and a thin REST API. All harnesses are dumb clients of that service. Policy is code + tests in one place.

4.2 Context diagram

┌──────────────────────────────────────────────────────────────────────────┐
│ Agent clients                                                            │
│ Claude Code · Codex · Cursor · Grok · agent-harness sessions · scripts   │
└───────────────┬───────────────────────────────┬──────────────────────────┘
                │ MCP (streamable-HTTP)         │ REST (JSON)
                ▼                               ▼
┌──────────────────────────────────────────────────────────────────────────┐
│ Qonto Governed Assistant («qonto-assistant»)                             │
│                                                                          │
│  Authn/Authz edge                                                        │
│  OIDC / workload id / mTLS + optional flex-auth                          │
│            │                                                             │
│            ▼                                                             │
│  Protocol adapters                                                       │
│  MCP adapter              REST adapter                                   │
│            │                   │                                         │
│            └──────────┬────────┘                                         │
│                       ▼                                                  │
│  Capability service core                                                │
│  canonical capability ids + response contracts                          │
│            │                                                             │
│            ▼                                                             │
│  Policy engine                                                           │
│  default-deny, tenant scope, arg constraints, data class rules           │
│            │                                                             │
│      ┌─────┴──────────┐                                                  │
│      ▼                ▼                                                  │
│  Qonto adapter     Audit emitter                                         │
│  REST client       structured events                                     │
│      │                │                                                  │
└──────┼────────────────┼──────────────────────────────────────────────────┘
       │                │
       ▼                ▼
OpenBao tenants/<tenant>/qonto-api      stdout / log sink / metrics
       │
       ▼
Qonto thirdparty API

Optional later: put Envoy AI Gateway (or similar) in front of qonto-assistant for fleet-wide MCP aggregation with other domain assistants (email, issue-core, …). Do not put the gateway directly in front of vendor qonto-mcp-server as the sole control — semantic policy is thinner there.

4.3 Why a domain assistant beats “proxy the vendor MCP only”

Approach Pros Cons
A. Gateway + vendor MCP Fast; toolSelector; industry-standard Vendor tool names/args still drive the model; hard to encode “no volume cost”; vendor MCP is unmaintained / dual-use with write tools
B. Domain assistant (recommended) Safe tool catalog we design; semantic policy; dual MCP+REST; dogfood product surface Build cost
C. Per-harness allow-lists Zero new service Guaranteed drift; keys leak into clients

Hybrid that works: implement B; if we still want vendor MCP for parity experiments, run it only as an internal backend behind the same policy gate (never published to harnesses). Prefer direct REST client inside the assistant (we already proved REST) — fewer moving parts than shelling out to unmaintained MCP.

4.4 Component responsibilities

Component Owns Does not own
qonto-assistant Tool catalog, spend/volume policy, Qonto REST client, dual surfaces (MCP+REST), call audit LLM routing, scheduling, identity issuance
OpenBao + ops-warden Custody path, rotation guide, high-risk agent boundary Business rules about transfers
flex-auth “May actor X call capability finance.qonto.read?” Bank credential material
agent-harness Session lifecycle; grants profile finance-qonto-read; injects assistant URL/token only Bank policy implementation
llm-connect Which model answers Tool execution
activity-core When Finance Steward runs How bank is called
binky-control CostRunRate, queues, AutonomyPolicy, dogfood evidence Runtime of the assistant
Qonto Bank of record Our agent policy

4.5 Protocol adapters over one service core

The critical implementation rule is:

REST routes and MCP tools are only transport adapters. They must translate into the same internal CapabilityRequest model before policy runs.

That avoids the most likely drift bug in this repo: REST enforcing one set of rules while MCP grows a slightly different set later.

Canonical request shape:

CapabilityRequest
  capability_id
  tenant_id
  actor_claims
  resource_scope
  request_args
  protocol   # rest | mcp

Recommended v1 capability map:

Internal capability id REST surface MCP surface Notes
org_summary GET /v1/accounts qonto_org_summary Core balances/org read
list_transactions GET /v1/transactions qonto_list_transactions Capped, filtered history
cost_run_rate_hints used by GET /v1/snapshot qonto_cost_run_rate_hints (Phase 2) Normalized finance hints, not raw export
snapshot_bundle GET /v1/snapshot optional later Composite read; not a separate privilege if it only orchestrates allowed reads
find_counterparties defer defer Candidate future read capability, not Phase 1 MVP

Rules:

  • snapshot_bundle is an orchestrator over already-allowed reads, not a way to bypass policy with a "bigger" internal export.
  • REST and MCP names may differ, but both must map to the same capability_id, deny reasons, and response redaction rules.
  • Vendor payloads should be normalized into repo-owned response schemas; do not stream raw Qonto JSON into agent contexts by default.

4.6 Policy model (v1)

Encode as code + declarative YAML, tested in CI — not wiki prose alone. Policy should evaluate this tuple:

(capability_id, actor_claims, tenant_id, resource_scope, request_args, response_class)

Sketch:

# policy/qonto-v1.yaml (sketch)
version: 1
default: deny
capabilities:
  org_summary:
    lanes: [green, blue]
  list_transactions:
    lanes: [green, blue]
    constraints:
      max_per_page: 100
      max_pages_per_call: 5
      max_window_days: 93
  cost_run_rate_hints:
    lanes: [green, blue]
  snapshot_bundle:
    compose_only: [org_summary, cost_run_rate_hints]
deny_classes:
  spend:
    match_prefixes: [create_, issue_, transfer_, payout_]
  volume_cost:
    match_tags: [card_operation, invoice_send, payment_link, subscription_change]
  credential_exfil:
    response_fields: [api_key, authorization_header, full_iban]
lanes:
  green_blue:
    allow_set: [org_summary, list_transactions, cost_run_rate_hints, snapshot_bundle]
  yellow_plus:
    same_as: green_blue
  red:
    human_only_in_qonto_app: true

Semantic rules beyond tool name:

  • Reject unknown capability ids before touching Qonto.
  • Enforce tenant binding before resource lookup; callers do not choose an arbitrary OpenBao path or tenant id.
  • Inspect arguments for suspicious write semantics even if a route/tool is mis-wired later.
  • Treat response shaping as policy, not presentation polish. Redaction rules should be versioned and testable like allow/deny rules.
  • Emit stable deny reasons such as unknown_capability, tenant_scope, arg_constraint, volume_cost, credential_exfil, and authz_denied.

Map to AutonomyPolicy:

Action class Lane
Balance / txn read, CostRunRate update drafts Green / Blue
Recommend plan downgrade / keep Qonto Green (recommend only)
Change Qonto plan, create API key, transfer Red

4.7 Authentication and identity

Separate three identities clearly:

  1. Caller identity: human or workload calling REST/MCP.
  2. Assistant service identity: the only identity allowed to read tenants/<tenant>/qonto-api.
  3. Qonto upstream identity: the company credential presented to Qonto.
Caller
  -> authenticates to qonto-assistant (OIDC workload identity, mTLS, or similar)
  -> assistant checks claims + optional flex-auth grant (finance.qonto.read)
  -> assistant resolves tenant from claims/policy
  -> assistant fetches secret using its own runtime role
  -> Qonto sees only the tenant's API identity

Rules:

  • Never put bank credentials in harness env for general sessions.
  • Do not reuse an agent-harness-* OpenBao role for assistant secret fetch. Use a dedicated assistant runtime identity such as qonto-assistant-runtime.
  • Even in single-tenant dogfood, keep tenant_id explicit in claims and audit events so productization does not require reworking the core contract.

4.8 Secret and upstream session lifecycle

The blueprint needs an explicit secret lifecycle because this service is the sole credential choke point.

  • OpenBao read happens inside the service only.
  • Secrets may be cached in memory only with a short TTL to avoid fetching on every request.
  • Cache invalidation should occur on startup, TTL expiry, and upstream 401/403.
  • No secret material is written to disk, progress logs, traces, or chat output.
  • Local developer mode may use env inject for mocks/tests, but production path remains OpenBao-first.

This keeps rotation and incident response tractable without coupling every request to a secret store round-trip.

4.9 Data handling and response shaping

The current blueprint mentions redaction, but this needs to be a first-class contract because the main exfil path is not only "the key" but over-sharing financial data into agent chat contexts.

Data class Examples Default handling
secret API key, Authorization header, OpenBao token Never return, never log
sensitive_financial full IBAN, account owner identifiers, raw vendor refs Redact or truncate by default
operational_summary balances, normalized counterparties, capped txn summaries Return when capability allows

Guidelines:

  • Prefer normalized summary DTOs over raw vendor objects.
  • Default to IBAN last4 or account alias, not full identifiers.
  • Bulk export, statement download, and raw vendor dumps are out of scope for v1.
  • If a future higher-assurance mode needs fuller data, it should be a separate capability with separate policy and audit semantics, not a flag hidden inside an existing read.

4.10 Observability and audit

Per-request audit should not depend on State Hub progress writes. State Hub is appropriate for work/progress records, not as the hot-path sink for every bank read.

Recommended split:

  • Hot path: structured stdout/file/OTLP audit events for every request.
  • Cold path: State Hub progress notes or operator summaries for notable sessions, incidents, or rollout evidence.

Suggested audit envelope:

request_id: req-...
timestamp: ...
actor: agt-... / workload id
tenant_id: binky
capability: list_transactions
protocol: rest | mcp
decision: allow | deny
deny_reason: volume_cost | unknown_capability | tenant_scope | authz_denied
policy_version: 1
latency_ms: ...
qonto_http_status: ...
result_count: ...
# never: Authorization header, API_KEY, OpenBao token, full IBAN by default

4.11 Operational guardrails (v1, not "later if we remember")

Basic safety and reliability controls belong in Phase 1 because one noisy agent session can otherwise degrade the single bank integration for everyone.

Guardrail Minimum requirement
Upstream timeout bounded per request; fail fast and explicitly
Pagination hard caps in policy, not caller preference
Concurrency bounded per actor/tenant to avoid Qonto burst abuse
Rate limiting basic per-actor or per-token limit from first deploy
Retry policy conservative; no blind retries on ambiguous write-like failures
Persistence no raw Qonto payload store in v1; ephemeral in-memory only
Failure mode fail closed on policy/authn/authz uncertainty

These controls move from "nice operational follow-up" to "architecture requirement" because the repo's entire point is governed centralization.

4.12 Placement in the repo map (options)

Option Repo When
A (preferred dogfood) New small service under Coulomb, e.g. qonto-assistant or generalize later to finance-connect Clean boundary, productizable
B Module inside a future domain-connectors monorepo If many thin connectors share skeleton
C Package under binky-control only Too tenant-specific; resists reuse

Start as tenant-backed dogfood with a clear INTENT that it may graduate to a multi-tenant “governed bank connector” offer. Keep binky-control as consumer + policy source of business truth (CostRunRate, AutonomyPolicy), not as the runtime host long-term.


5. Alternatives considered

5.1 “Anchor policy at Qonto”

Unavailable for our custody model. Self-hosted MCP + API keys are not fine-scoped. Hosted OAuth MCP is the corporate anti-pattern we already rejected (credentials outside OpenBao, write tools bundled). Even with OAuth, spend prevention would still need our gateway for defense in depth.

5.2 Generic MCP gateway only

Good complement, insufficient alone. Use later for fleet aggregation. v1 needs semantic finance policy and a stable REST face for non-MCP clients — easier as our service.

5.3 agent-harness-only enforcement

Harness tool profiles remain necessary (dont hand agents unrestricted network). But bank policy must not live only there: interactive Claude on a laptop would bypass harness profiles unless it also only sees the assistant endpoint. Network/policy gravity toward the assistant.

5.4 llm-connect as tool hub

Reject for layering reasons (LLM vs domain tools). Route models through llm-connect; route bank actions through qonto-assistant.


6. Phased delivery

Phase 0 — Already done (BINKY-WP-0005)

  • Custody lane live
  • REST pull proven
  • CostRunRate TBC resolved for desk + plan
  • Catalog + CCR active

Phase 1 — Policy kernel + REST (minimum useful product)

  1. Service skeleton with a protocol-neutral capability core and shared decide(request, claims) -> Allow|Deny.
  2. REST adapters for GET /v1/accounts, GET /v1/transactions, GET /v1/snapshot.
  3. Hard deny list for any write/spend path (even if not implemented).
  4. OpenBao fetch only inside service using a dedicated assistant runtime role.
  5. Baseline guardrails ship in Phase 1: bounded pagination, timeouts, basic rate limiting, bounded concurrency, and redaction tests.
  6. Smoke: CI uses mock Qonto; manual live read stays explicitly opt-in.
  7. Script replaces ad-hoc first-pull for CostRunRate refresh.

Phase 2 — MCP surface for all harnesses

  1. Streamable-HTTP MCP adapter on the same capability core and policy engine.
  2. Document one client config snippet for Claude/Codex/Cursor/Grok: URL + OIDC/workload auth — no bank secrets.
  3. agent-harness tool profile finance-qonto-read → assistant only.
  4. MCP and REST emit the same structured audit schema; State Hub receives operator-level progress notes, not per-call hot-path events.

Phase 3 — Flex-auth + fleet

  1. flex-auth resource finance.qonto.read (+ later .export).
  2. Graduated quotas, differentiated response redaction profiles, and finer capability scopes such as .export if ever approved.
  3. Optional Envoy/gateway in front for multi-assistant mesh.

Phase 4 — Productization (dogfood → offer)

  1. Multi-tenant path layout tenants/<slug>/qonto-api.
  2. Policy packs per autonomy lane.
  3. OfferCatalog entry: “Governed bank assistant for agent fleets.”

7. Harness integration pattern (the consistency trick)

Wrong:

each harness → OpenBao qonto key → vendor MCP (local allow-list hope)

Right:

each harness → auth to qonto-assistant → policy → Qonto
                ↑
         single tool catalog + single deny rules

Checklist for any new harness:

  1. Does not get binky-qonto-api bank secret.
  2. Gets only assistant base URL + client credentials for finance.qonto.read.
  3. Tool profile names assistant tools, not vendor tool names.
  4. Offline/dev: point at assistant mock, not a copy of production key.

8. Risk register (architecture-level)

Risk Mitigation
Assistant is a high-value target High-risk path already in agent-high-risk-boundary; no raw stream to coding agents; short-lived OpenBao tokens; network policy
Model jailbreak asks for transfer Tool not registered + deny classes; never implement spend in v1
Vendor adds new MCP write tools We do not auto-mirror vendor catalog; allow-list is ours
Bypass via direct thirdparty from laptop Platform policy + founder discipline; optional egress controls later; secrets not on laptops
Over-filtering legitimate finance work Explicit allow tools + CostRunRate helpers; expand by policy PR with tests
Cross-tenant data mix-up later Tenant id explicit in claims, policy, audit, and OpenBao path resolution from v1
Audit/log sink leaks sensitive fields Redaction-by-class policy + tests; State Hub not used as raw per-request event store

9. Decision requests (for later DEC / workplan)

  1. Adopt domain-assistant architecture (B) for Qonto (this blueprint).
  2. Repo home: new qonto-assistant vs wait for generic finance-connect.
  3. v1 policy freeze: no spend / no volume-cost tools — hard deny.
  4. Service identity: dedicated assistant runtime role; no harness role reuse.
  5. MCP transport: remote streamable-HTTP only for production clients.
  6. Whether to ever run vendor MCP as internal backend (default: no).

Suggested workplan slug: BINKY-WP-0006 or a Coulomb-side QONTO-WP-0001 once the repo exists.


10. References

Internal

  • integrations/qonto-mcp.md — variant decision, custody, first-pull results
  • finance/CostRunRate.md — consumer of read path
  • AutonomyPolicy.md — Green…Red lanes; spending defaults
  • agent-harness INTENT + ADR-001 — single runtime; instances declarative
  • llm-connect ARCHITECTURE-LAYERS — LLM only, not domain tools
  • flex-auth INTENT — authorization registry
  • ops-warden catalog binky-qonto-api, CCR-2026-0008

External patterns (research snapshot 2026-07)

  • Envoy AI Gateway MCPRoute: tool filtering, upstream key injection, OAuth, CEL on MCP params
  • Kong AI Gateway MCP Tool ACLs: default-deny per-consumer tool grants
  • MCP gateway product literature (Portkey, Speakeasy, Permit): central policy + audit for multi-client agents
  • MCP security guidance: no token passthrough; tool-level scopes; proxy consent / confused-deputy awareness
  • CSA / industry agentic MCP guides: inventory of servers; JIT escalation for high privilege

11. Summary recommendation

  1. Do not wire Qonto MCP into each harness.
  2. Do build a Qonto Governed Assistant with:
    • sole possession of bank credentials,
    • a protocol-neutral capability core behind REST and MCP adapters,
    • default-deny tool catalog,
    • no spend / no volume-cost policy as code,
    • data classification/redaction rules,
    • MCP + REST for all clients,
    • flex-auth + OpenBao + audit.
  3. Treat generic MCP gateways as a later mesh layer, not a substitute for domain policy.
  4. Align agent-harness so it only ever grants access to that assistant — preserving ADR-001 without re-implementing bank rules per runtime.

This matches both industry MCP-gateway practice and your existing platform boundaries (custody, flex-auth, harness instances, dogfood).