Schema Sentinel
A read-only MCP server for PostgreSQL schemas and their git history, enabling AI agents to inspect schema details, migrations, ERDs, missing indexes, circular foreign keys, and churn without write access.
README
<p align="center"> <img src="assets/banner.png" width="720" alt="Schema Sentinel — read-only MCP server for Postgres schemas, migrations, and the git history behind them"> </p>
Read-only MCP server that lets an AI agent look at a Postgres db + its paired git repo and just... know what's going on. Schema, ERD, missing indexes, circular FKs, migration risk, git-churn hotspots, all the stuff you'd normally dig up by hand with psql and git log.
Works against any Postgres + repo pair via .env config (connection string + repo path). Not hardcoded to one project.
Why I built this
Two reasons: it's a portfolio piece, and it was my hands-on way of actually learning MCP, schema introspection, static SQL parsing, git analysis, and wiring all of it up as agent-callable tools.
Tools
| Tool | Args | What it does |
|---|---|---|
get_schema_overview |
— | Tables, columns, PKs, FKs for the connected db |
find_missing_indexes |
— | Flags FK columns with no covering index |
find_circular_foreign_keys |
— | Catches FK cycles across tables, and shows one concrete cycle per group |
find_table_complexity |
— | Per table: column count, FK fan-in/fan-out, whether it's tangled in a cycle |
generate_erd |
— | Spits out a Mermaid erDiagram of the schema |
check_migration_risk |
sql_path |
Statically parses one migration file and flags risky stuff. Never runs it |
find_schema_churn |
since_days? |
How often, and how recently, each table's migrations changed |
generate_report |
since_days? |
Rolls all of the above into one health report |
What counts as migration risk
check_migration_risk parses the file and flags six patterns:
| Pattern | Severity | Why |
|---|---|---|
DROP COLUMN |
high | irreversible data loss |
ALTER COLUMN ... TYPE |
high | rewrites the table, holds a long lock, can silently truncate |
RENAME COLUMN |
high | breaks in-flight app code still using the old name mid-deploy |
RENAME TO (table) |
high | same, but takes out every FK pointing at the table too |
ADD COLUMN ... NOT NULL with no DEFAULT |
medium | fails outright once the table has rows |
CREATE INDEX without CONCURRENTLY |
medium | blocks writes for however long the build takes |
Setup
pip install -e .(orpip install -e ".[dev]"to also getpytest).- Copy
.env.exampleto.envand fill inSCHEMA_SENTINEL_DB_URL,SCHEMA_SENTINEL_REPO_PATH,SCHEMA_SENTINEL_MIGRATIONS_PATH. The db role has to be read-only, runscripts/setup_readonly_role.sqlagainst your database first if you don't already have one. - Run it:
schema-sentinel(installed as a console script), orpython -m schema_sentinel.server. Either way it speaks MCP over stdio.
To wire it into an MCP client, point the client at the console script and hand it the three env vars:
{
"mcpServers": {
"schema-sentinel": {
"command": "schema-sentinel",
"env": {
"SCHEMA_SENTINEL_DB_URL": "postgresql://schema_sentinel_ro@localhost:5432/your_database",
"SCHEMA_SENTINEL_REPO_PATH": "/path/to/your/repo",
"SCHEMA_SENTINEL_MIGRATIONS_PATH": "/path/to/your/repo/migrations"
}
}
}
}
Decisions I've locked in
-
Python +
psycopgv3 (psycopg[binary]) for Postgres. -
The
mcpSDK's bundled FastMCP (mcp.server.fastmcp) for the server, not the standalonefastmcppackage. Pinned tomcp<2deliberately, see the rough edges below. -
Mermaid
erDiagramtext for the ERD, no Graphviz, no rendering lib. GitHub and Notion already render Mermaid natively, so why bother. -
pglast(wrapslibpg_query, Postgres's own C parser) to statically parse migrations.check_migration_riskonly ever parses, never runs, a migration. Non-negotiable.Worth saying why it's
pglastand not a generic multi-dialect parser: I started on one and found it silently gave up on multi-item DDL.ALTER TABLE x DROP COLUMN a, ALTER COLUMN b TYPE intcame back as an unparsed blob, which meant a genuinely dangerous migration would sail through reporting zero risks, andDROP TABLE a, b;raised outright. Both are ordinary SQL.pglastdoesn't approximate the grammar, it is the grammar, so neither is a problem. -
GitPython for the churn/file-history stuff.
-
Introspection goes through
pg_catalog, notinformation_schema. Not a style preference:information_schema.table_constraintsand friends gate visibility behind write-ish privileges, so a strictly read-only role sees zero rows there. Which is exactly the role this thing is designed to run as. -
psycopg3 param binding: list filters use
= ANY(%s), notIN %s. psycopg3 doesn't auto-expand a Python list into a SQLIN (...)the way psycopg2 did. Bit me once, not doing it again. -
Churn and complexity stay separate. Churn is a pure git signal, complexity is a pure schema signal, neither reaches into the other's half.
generate_reporthands you both.
Security posture (read-only, belt and suspenders)
Enforced in src/schema_sentinel/db/connection.py:
- Session-level lock,
SET SESSION CHARACTERISTICS AS TRANSACTION READ ONLYright after connecting, before anything else runs. - Startup privilege check, checks
pg_rolesforrolsuper/rolcreatedb/rolcreaterole, andinformation_schema.role_table_grantsfor any non-SELECTgrant on the connecting role. Either one fails, the connection gets closed and it raisesWritableConnectionError, no usable connection handed back, period. scripts/setup_readonly_role.sqlsets up a correctly-scoped read-only role in one step, instead of doing it by hand.
The migration checker never touches the database at all, it only reads files off disk.
Project layout
src/schema_sentinel/
├── config.py env config -> Settings
├── schema.py get_schema_overview, find_missing_indexes,
│ find_circular_foreign_keys, find_table_complexity
├── erd.py generate_erd
├── migrations.py check_migration_risk
├── report.py generate_report
├── server.py MCP entrypoint, registers all 8 tools
├── db/connection.py the read-only gatekeeper
└── git_ops/churn.py find_schema_churn
tests/ mirrors src/, plus tests/test_db/ and tests/test_git_ops/
scripts/ setup_readonly_role.sql, setup_test_db.sql
Running the tests
Most of the suite is DB-free, but the schema/connection/report tests run against a real local Postgres, since the whole point of the connection tests is proving actual grant enforcement and you can't meaningfully mock that.
createdb schema_sentinel_test
psql -d schema_sentinel_test -f scripts/setup_test_db.sql
pytest
setup_test_db.sql builds the fixture tables (simple and composite PKs, simple and composite FKs, one FK deliberately left unindexed) plus the three roles the connection tests need. Point the SCHEMA_SENTINEL_TEST_* URLs in .env at them. CI does exactly this against a throwaway Postgres container on every push.
Known rough edges
- Schema-qualified names get flattened. Churn keys everything by bare table name, so
public.ordersandanalytics.orderswould land in the same bucket. Fine for the single-schema case, wrong for anything fancier. - The risk checker knows six patterns. Plenty of other things worth flagging aren't in there yet:
ADD CONSTRAINTwithoutNOT VALID,SET NOT NULLon an existing column, volatileDEFAULTs,VACUUM FULL,CLUSTER. generate_reportre-queries more than it needs to. Several tools callget_schema_overviewor the constraint fetch independently, so a full report hitspg_constrainta handful of times over. Each tool being self-contained was the deliberate tradeoff, but on a big schema it's wasteful.- Pinned to
mcp1.x. 2.0 removedmcp.server.fastmcp, which is whatserver.pyis written against, so upgrading means porting the tool registration to whatever replaced it. Pinned rather than rushed. - Complexity is a raw count, not a score. Fan-in, fan-out and column count get sorted, not weighted, and nothing multiplies churn against complexity to give you a single "hotspot" number. You get both halves and draw your own conclusions.
License
AGPL-3.0-or-later, full text in LICENSE.
Short version: read it, run it, fork it, learn from it, all fine. But if you distribute a modified version, or run one as a service other people can reach, you have to publish your source too.
Copyright (C) 2026 Ramón Iglesias
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <https://www.gnu.org/licenses/>.
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