Mcpgov
БесплатноНе проверенA production-grade MCP server over Postgres, providing secure data operations with tenant isolation, exact-once mutations, loop-aware rate limiting, and a tampe
Описание
A production-grade MCP server over Postgres, providing secure data operations with tenant isolation, exact-once mutations, loop-aware rate limiting, and a tamper-evident audit trail.
README
A production-grade MCP server over Postgres, where the hard 20% is the point: authentication, tenant isolation, provably idempotent mutations, loop-aware rate limiting, and a tamper-evident audit trail — each claim pinned by a test that runs against a real database, and an end-to-end adversarial demo that attacks the live server over real HTTP in CI.
Why
Every company is wrapping internal systems in MCP servers so agents can use them. Most wrappers are demos: the tools work, and nothing stops a retried mutation from applying twice, a token from reading another tenant's rows, or an agent loop from hammering the same failing call all night. This repo is the missing 80-to-100 stretch, built as five controls that a tool author cannot forget, because they live in the middleware chain and the database rather than in tool bodies.
The controls, and the evidence for each
1. Identity is verified, not asserted. OAuth-style short-lived Bearer
tokens (HS256, exp/aud/iss/jti all required), plus RFC 7523 jwt-bearer
federation: an IdP-issued assertion is exchanged for a local token after
signature-by-kid, audience, issuer, expiry-with-bounded-skew, and single-use
jti checks. Group-to-team mapping is a declarative allowlist; an unmapped
group grants nothing, including a group that happens to be named after a real
team. 19 tests, including forged signatures, alg=none, replayed assertions,
and cross-audience confusion.
2. Tenant isolation is enforced by the database, not the queries. Postgres
row-level security with FORCE, keyed on a GUC populated only from verified
token claims — there is no request field through which a client names a tenant.
The server runs as a role that is neither owner nor superuser (either would
bypass RLS silently; a test asserts this about the running role). Teams are
jsonb, not CSV, after measuring that CSV encoding let a principal entitled to
gamma,delta read the distinct team literally named gamma,delta. Cross-tenant
reads return not_found byte-identical to genuinely absent ids.
3. Mutations are exactly-once under retry storms. A claim-then-execute
ledger: the idempotency claim and the business write commit in one transaction,
duplicates replay the stored response marked _replayed, a key reused with
different arguments is refused, and only non-retryable failures are cached
(caching a transient one would convert a blip into a permanent failure that
looks healthy). Pinned by a 16-thread concurrent-duplicates test repeated 5
times, plus crash-recovery: an unclean death does not poison the key.
4. Rate limiting distinguishes a runaway loop from a legitimate burst. Two
layers, because "too fast" and "stuck" are different problems: a GCRA shaper
per (principal, tool_class) that delays, and a loop breaker that looks for
repetition without progress and opens a per-tool circuit. On the seeded
evaluation (200 trials/family, reproduced in CI byte-for-byte):
| workload | outcome |
|---|---|
| 5 runaway families (same-error, cycle, no-op write, infinite transient retry, idempotent replay) | broken in 100% of trials, median 8 wasted calls |
| 6 legitimate families (poll, paginate, fan-out, backoff retry, burst, small worklist) | 0 false breaks |
| declared long poll | bounded by its declared budget, by design |
| undeclared poll | known false positive, documented — without a declaration it is indistinguishable from a no-progress loop |
| token-bucket baseline | denies 41/80 of the runaway and 41/80 of the legitimate burst at identical arrival rates — its verdict is a function of rate, the label is a function of shape; it never breaks a loop, only slows it |
5. The audit trail is tamper-evident, including truncation. Every attempt —
allowed, denied, unauthenticated — is one row in an HMAC hash chain, with
arguments redacted to digests. The chain head lives in a singleton row read
under FOR UPDATE (the naive ORDER BY seq DESC LIMIT 1 head forked under
concurrency: 16 concurrent appends produced 9 distinct predecessors, and
verification cried tamper on clean traffic). Verification requires a separate
auditor login the server never holds, because the writer being unable to read
the whole log — and the reader being unable to write — is what makes "the chain
verified" a statement about the data rather than the writer's self-report.
Deleting the tail is detected too, which hash-chaining alone cannot see.
The demo: the live server, attacked over real HTTP
demos/session.py boots mcpgov serve, mints tokens with the CLI, and drives
13 acts through the official MCP client — no token (401 with the RFC 9728
challenge), forged signature, scope escalation, a retry storm of duplicated
mutations, key reuse with different arguments, cross-tenant probing, a runaway
loop broken on attempt 7 while other tools keep answering, tenant-scoped audit
reads, chain verification, and a superuser rewriting one row's deny to
allow — caught with the exact seq. Each act asserts its expected outcome; CI
fails if any deviates. Transcript: results/demo-session.json.
To point Claude Code or Cursor at it interactively: docs/clients.md.
Run it
Needs Python 3.12+, uv, and any Postgres 14+.
uv sync
# the full suite: 100 tests, most against the real database
MCPGOV_TEST_DSN='postgresql://[email protected]:5432/postgres' uv run pytest
# the adversarial demo (creates its own scratch database)
MCPGOV_DEMO_DSN='postgresql://[email protected]:5432/mcpgov_demo' \
uv run python demos/session.py
# the limiter evaluation (seeded; CI diffs the output against the committed file)
uv run python scripts/eval_limiter.py
Design notes worth stealing
- Controls in middleware, not tool bodies. A check inside a tool is a check a new tool can forget, silently. The guard wraps every inbound message, so it also sees calls to tools that do not exist and calls that fail schema validation — attempts worth auditing that a per-tool check never sees.
- Middleware sees the wire format.
call_nextreturns a JSON-RPC dict (isError, camelCase), not the typedCallToolResult. The attribute spelling returned its default forever: every refusal was audited asallow, and loop detection was structurally dead in the live server while the offline harness scored it at full recall. The tests now drive a real client session. INSERT ... RETURNINGre-evaluates the SELECT policy on the new row — so the unscoped audit appender could not record tenant-tagged events at all.- Permissive RLS policies apply by role membership, not the active role. Granting the app role membership of the auditor role (the convenient wiring) switched the full-read policy on for every app query and removed the tenant boundary from audit reads without a single error.
- Retryability is declared once, per error code, and consulted by both the idempotency cache and the loop breaker's thresholds — a permanent failure misfiled as transient would let a runaway run 20 calls instead of 6.
Limitations, honestly
- The IdP in the federation tests is a local fixture with published keys, not a live Okta/Entra tenant; the validation logic is real, the network hop is not.
LocalTokenVerifieris symmetric-key (HS256) — right for a single-server deployment, not for a fleet where issuers and verifiers must not share a secret.- Loop detection keys on the verified
(principal, client_id, tool); a principal that can provision manyclient_ids can fan out across buckets. That is a provisioning-quota problem, stated rather than solved. - The GitHub write path (
src/mcpgov/github.py) is at-least-once made effectively-once by reconciliation — exactly-once across two systems with no shared transaction does not exist, and its list endpoint lags a successful create by ~5-6s (measured), which is exactly why its reconciler polls past the lag and refuses to create after a short-deadline miss. Its suite runs against a recorded fake with an offline guard test.
Layout
src/mcpgov/
auth.py tokens, RFC 7523 assertion exchange, group->team mapping
db.py pool, tenant-scoped connections, migration + grants
schema.sql tables, FORCE RLS policies, the audit chain head
idempotency.py the claim-then-execute ledger
limiter.py GCRA shaper + loop breaker (the two-layer argument)
audit.py HMAC hash chain: append, verify, truncation detection
server.py the five tools and the guard middleware
github.py writing to a second system that has no idempotency
cli.py migrate / seed / token / serve / verify-audit
tests/ 100 tests; Postgres-backed ones run against a real database
demos/session.py the 13-act adversarial session over real HTTP
scripts/ the seeded limiter evaluation
results/ committed evidence: eval numbers, demo transcript
Установить Mcpgov в Claude Desktop, Claude Code, Cursor
unyly install mcpgovСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add mcpgov -- uvx --from git+https://github.com/harsha-moparthy/mcpgov mcpgovПошаговые гайды: как установить Mcpgov
FAQ
Mcpgov MCP бесплатный?
Да, Mcpgov MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Mcpgov?
Нет, Mcpgov работает без API-ключей и переменных окружения.
Mcpgov — hosted или self-hosted?
Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.
Как установить Mcpgov в Claude Desktop, Claude Code или Cursor?
Открой Mcpgov на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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