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Mcpgov

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A production-grade MCP server over Postgres, providing secure data operations with tenant isolation, exact-once mutations, loop-aware rate limiting, and a tampe

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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_next returns a JSON-RPC dict (isError, camelCase), not the typed CallToolResult. The attribute spelling returned its default forever: every refusal was audited as allow, 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 ... RETURNING re-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.
  • LocalTokenVerifier is 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 many client_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

from github.com/harsha-moparthy/mcpgov

Install Mcpgov in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install mcpgov

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add mcpgov -- uvx --from git+https://github.com/harsha-moparthy/mcpgov mcpgov

Step-by-step: how to install Mcpgov

FAQ

Is Mcpgov MCP free?

Yes, Mcpgov MCP is free — one-click install via Unyly at no cost.

Does Mcpgov need an API key?

No, Mcpgov runs without API keys or environment variables.

Is Mcpgov hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Mcpgov in Claude Desktop, Claude Code or Cursor?

Open Mcpgov on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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