sqlite-sidecar-mcp
Provides controlled agent access to an existing live SQLite database, including schema inspection, read-only queries, structured inserts/updates/deletes with filters and row limits, online backups, health diagnostics, and optional guarded raw write SQL.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@sqlite-sidecar-mcpshow me the schema for the users table"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
sqlite-sidecar-mcp
An agent-safe MCP sidecar for one live SQLite database.
It gives an AI agent controlled access to a database that another application already owns, and it limits the damage that an authorized but mistaken agent can cause.
About the project
An application owns a SQLite file. You want an agent to read it, and perhaps to change a few rows.
Handing the agent a SQL connection gives it the whole file and one DELETE with a wrong predicate
is unrecoverable. sqlite-sidecar-mcp sits next to that application as one more SQLite client and
speaks MCP over HTTP. The owning application does not change.
It runs in production next to the MCP Canary API, where it gives the operator's coding agent read-only access to the live database.
flowchart TD
agent[AI / MCP client] -->|HTTPS| proxy[Reverse proxy]
proxy -->|private HTTP| sidecar[sqlite-sidecar-mcp]
sidecar -->|SQLite client| db[(app.db)]
app[Owning application] -->|SQLite client| dbThe product defends against two callers. One is an unauthorized client, which the token and the request budget stop. The other is an authorized client that makes a mistake, and that one is the unusual part: an agent with permission to write can still write the wrong thing. Structured writes, a mandatory predicate, a row limit that counts cascades, and a per-minute write budget exist for it.
One sidecar process serves one database. The request budget, the write budget and the idempotency cache live in process memory. A second replica gives you two independent budgets and two independent caches, and nothing reports it. Do not scale this service. Run a second sidecar only for a different database or a different trust boundary.
Built with
.NET 10, ASP.NET Core
Model Context Protocol over Streamable HTTP
Microsoft.Data.Sqlitewith the bundled native SQLiteTOON for row output, which costs fewer tokens than JSON
Related MCP server: MCP-Server-data
Getting started
Prerequisites
Docker
A SQLite database that already exists. The sidecar never creates one: creation would hide a wrong path and leave an empty database next to the real one.
Run it
docker run -d --name sqlite-sidecar \
-p 127.0.0.1:8080:8080 \
-v /srv/myapp/data:/data \
-e SQLITE_SIDECAR_DB=/data/app.db \
-e SQLITE_SIDECAR_TOKEN='<a long random string>' \
-e SQLITE_SIDECAR_PERMISSIONS=schema,read \
--read-only --tmpfs /tmp \
--cap-drop=ALL --security-opt=no-new-privileges \
ghcr.io/xakpc/sqlite-mcp-sidecar:latestThe mount must be writable, also for the read-only permission set above. SQLite opens the -shm
file read-write for a read-only connection to a WAL database, and a read-only mount fails in a way
that reads like a permission fault rather than a configuration mistake.
Connect an agent
The endpoint is /db/mcp and the token goes in an Authorization header:
{
"mcpServers": {
"app-database": {
"url": "https://example.com/db/mcp",
"headers": { "Authorization": "Bearer <the token>" }
}
}
}There is no OAuth. A client that insists on OAuth discovery finds no resource metadata on a 401
and stops; the expected consumer is one agent that an operator configured with a static header.
Generate a token and an environment block
dotnet run scripts/token.csIt asks for the deployment shape, mints a token from a cryptographic random source, repairs a
permission set that would fail startup, and prints the block as .env, shell or compose.
The eight tools
Which tools exist is decided by the permission set. A tool the deployment does not cover is absent
from tools/list — it does not appear and then fail.
Tool | Needs | What it does |
|
| Returns the DDL of the user tables, views and indexes. No row data, no internal |
|
| Runs one caller-written read statement and returns rows as TOON, inside a row limit, a byte limit and a timeout. |
|
| Inserts one row from a table name and a value map. The caller sends no SQL. |
|
| Updates rows matched by a structured filter. Needs a filter and a |
|
| Deletes rows matched by a structured filter. Needs a filter and a |
|
| Copies the live database while the owning application keeps writing. Answers with a task; the client polls for the outcome. |
|
| Reports a fixed set of health values, including the journal mode and a |
|
| Runs one caller-written |
A query answers in TOON, which is a compact tabular text:
rows[2]{id,status}:
54,done
41,failed
truncated: falsetruncated: true means a limit stopped the read, not that the query failed.
Structured writes
update and delete take a flat filter, never SQL. Every condition joins with AND; there is no
or and no nesting. A disjunction is one call per branch, and that is the tighter bound: each call
is pre-counted and limited on its own, while one or call would pool the blast radius of every
branch into a single maxRows.
maxRows counts every row the write changes — rows removed by ON DELETE CASCADE and rows a
trigger writes included. A delete with maxRows: 1 cannot quietly destroy a cascade subtree and
report one row. A filter that matches too many rows is rejected before the write starts, and a
write that turns out to exceed the limit is rolled back.
Every write tool takes a mandatory requestId. The same requestId returns the stored response of
a committed write instead of applying it twice. Failures are not cached, so a retry after a failure
is a real retry.
Permissions
One deployment has one token and one permission set. A permission is a property of the deployment, not of a user — there are no users, roles or ACLs. Separate trust levels use separate deployments, which keeps the boundary visible in the deployment configuration.
SQLITE_SIDECAR_PERMISSIONS=schema,read # the defaultPermission | Risk | What it grants |
| Low | Metadata only. |
| Sensitive | It can read all data in the database. |
| Higher | Constrained data modification in all tables. |
| Sensitive | It can make database copies. |
| Low to moderate | Metadata and health values. |
| High | Arbitrary |
The name danger-raw-write is deliberately alarming. A neutral name would hide the cost.
A permission applies to every table in the database. There is no table allowlist and no column
allowlist. write does not protect one table from an agent that has write. If a table must stay
untouched, it belongs in a different database with a different sidecar.
Two rules the sidecar enforces at startup, so a mistake is a failed start and not a surprise later:
The read floor.
writeanddanger-raw-writeare only valid together withschemaandread. A structured write validates names against the live schema, so an agent that cannot callschemawould be guessing. The missing permissions are never added silently, because that would makeSQLITE_SIDECAR_PERMISSIONSan untrue record of the deployment.No unknown names.
SQLITE_SIDECAR_PERMISSIONS=reedfails startup instead of quietly granting less than the operator believes.
No permission grants another. read does not imply write, and danger-raw-write is independent
of write.
Configuration
Every value is an environment variable with the SQLITE_SIDECAR_ prefix. Startup fails when a value
is absent or invalid, and it reports every problem at once. The sidecar does not start in a
degraded state.
Required:
Variable | Meaning |
| Path of the SQLite file. It must exist. |
| The deployment bearer token. Supply it as a secret. |
Variable | Default | Meaning |
|
| The permission set. |
| none | Destination directory. Required, and must be writable, when |
|
| Row limit of one query result. |
|
| Byte limit of one query result. |
|
| Longest accepted statement. |
|
| A longer query is interrupted inside SQLite. |
|
| How long to wait for another writer's lock. |
|
| Concurrent database operations. |
|
| The request budget, one window for the process. |
|
| Server-side cap on changed rows per write. |
|
| The write budget, one window for the process. |
ASP.NET Core settings that matter: ASPNETCORE_URLS (the image sets http://0.0.0.0:8080) and
ASPNETCORE_ENVIRONMENT. Outside Development the sidecar logs JSON, which is what a container log
pipeline wants.
The effective write limit is min(the caller's maxRows, SQLITE_SIDECAR_MAX_WRITE_ROWS), so an agent
can ask for less but never for more.
Paths
Path | Token | Rate limited |
| required | yes |
| no | no |
/health reports that the process is alive and nothing else. It never touches the database: a probe
runs every few seconds, and an expensive probe would become a denial-of-service vector against the
owning application. The checks that do need the file run once, at startup.
Deployment
The proxy must not strip the /db prefix. /db/mcp is the whole public path: the sidecar
routes the same URL the agent calls. Both Kamal and Coolify strip a matched prefix by default,
and a stripped prefix produces a 404 that reads like a broken server. Every recipe below turns
stripping off.
Common to all of them: one replica, /data writable even for schema,read, and the container
port never published to the internet — the reverse proxy is the only way in, and it is also what
matches the Host header. The sidecar does no host filtering of its own.
services:
app:
image: my-app
volumes:
- sqlite-data:/data
sqlite-sidecar:
image: ghcr.io/xakpc/sqlite-mcp-sidecar:latest
deploy:
replicas: 1
environment:
SQLITE_SIDECAR_DB: /data/app.db
SQLITE_SIDECAR_TOKEN: ${SQLITE_SIDECAR_TOKEN}
SQLITE_SIDECAR_PERMISSIONS: schema,read,write,backup
SQLITE_SIDECAR_BACKUP_DIR: /backups
ASPNETCORE_URLS: http://0.0.0.0:8080
volumes:
- sqlite-data:/data
- sqlite-backups:/backups
read_only: true
tmpfs:
- /tmp
cap_drop:
- ALL
security_opt:
- no-new-privileges:true
volumes:
sqlite-data:
sqlite-backups:Both containers mount the same volume. The database file must stay on a local filesystem: NFS and SMB do not implement the locking SQLite needs.
One service for one database, and one host. A sidecar reads a local file, so it cannot follow a multi-region role set: name the host that holds the database.
service: sqlite-sidecar
image: ghcr.io/xakpc/sqlite-mcp-sidecar
servers:
app:
hosts: [<host that holds the database>]
proxy:
ssl: true
host: <the public host name>
path_prefix: /db
strip_path_prefix: false
app_port: 8080
healthcheck:
path: /health
volumes:
- "<host data directory>:/data"
env:
clear:
SQLITE_SIDECAR_DB: /data/app.db
SQLITE_SIDECAR_PERMISSIONS: schema,read
secret:
- SQLITE_SIDECAR_TOKENhealthcheck.pathis not optional here. kamal-proxy asks for/upby default, and the deploy fails on that default.kamal-proxy has no rate limiting. It gives buffering, body-size limits and forwarded headers. The in-process request budget is therefore the only request limit on this platform.
Use a subdomain, not a path. Coolify generates Traefik labels for a domain path, and the
path-plus-strip-prefix combination has open defects. A subdomain costs nothing and removes the risk.
The application path stays /db/mcp either way.
Domain https://mcp.<domain>
Strip Prefixes off
Health check /health
Replicas 1
Volume <host data directory>:/data, writableCoolify runs Traefik, so a rate-limit middleware is available. It is not necessary: the in-process budget is active on every platform.
No orchestrator at all. Put the docker run under systemd so it survives a reboot:
# /etc/systemd/system/sqlite-sidecar.service
[Unit]
Description=sqlite-sidecar-mcp
After=docker.service
Requires=docker.service
[Service]
Restart=always
RestartSec=5
ExecStartPre=-/usr/bin/docker rm -f sqlite-sidecar
ExecStart=/usr/bin/docker run --rm --name sqlite-sidecar \
-p 127.0.0.1:8080:8080 \
-v /srv/myapp/data:/data \
--env-file /etc/sqlite-sidecar.env \
--read-only --tmpfs /tmp \
--cap-drop=ALL --security-opt=no-new-privileges \
ghcr.io/xakpc/sqlite-mcp-sidecar:latest
ExecStop=/usr/bin/docker stop sqlite-sidecar
[Install]
WantedBy=multi-user.target-p 127.0.0.1:8080:8080 binds to loopback, so only a proxy on the same host reaches it. Put the
token in /etc/sqlite-sidecar.env with mode 0600, and point Caddy or nginx at 127.0.0.1:8080
with the path forwarded unchanged.
A Fly Volume attaches to exactly one machine, which suits this product: one file, one writer, one sidecar.
app = "myapp"
[build]
image = "ghcr.io/xakpc/sqlite-mcp-sidecar:latest"
[env]
SQLITE_SIDECAR_DB = "/data/app.db"
SQLITE_SIDECAR_PERMISSIONS = "schema,read"
ASPNETCORE_URLS = "http://0.0.0.0:8080"
[[mounts]]
source = "app_data"
destination = "/data"
[http_service]
internal_port = 8080
force_https = true
auto_stop_machines = false
auto_start_machines = false
min_machines_running = 1
[[http_service.checks]]
path = "/health"fly secrets set SQLITE_SIDECAR_TOKEN='<the token>'The sidecar and the owning application must run on thesame machine. A volume attaches to one
machine, so two machines means two different database files, and the one-sidecar rule fails
silently — each process would serve its own copy. Keep auto_stop_machines = false and do not
scale the app.
Token rotation
A deployment has one token. It never expires, and the sidecar accepts no second value. Rotation is a secret change plus a restart, which stops every client at the same moment. That is accepted here: a rotation window would need a list of valid tokens, which is a different product.
Security
Every request passes every layer, in order. No layer is a feature flag.
flowchart TD
req[MCP request] --> budget[Request budget]
budget --> auth[Bearer token check]
auth --> perm[Deployment permission check]
perm --> conc[Concurrency semaphore]
conc --> agent[Agent protections]
agent --> sandbox[SQLite sandbox]
sandbox --> sqlite[(app.db)]
budget -->|fail| e0[429 Too Many Requests]
auth -->|fail| e1[Unauthorized]
perm -->|fail| e2[PermissionDenied]
agent -->|fail| e3[WriteLimitExceeded / WriteBudgetExceeded]
sandbox -->|fail| e4[QueryRejected]What is guaranteed
With the default configuration, these statements are true:
Remote access needs authentication.
Default permissions are read-only.
readdoes not implywrite.A write permission is not valid without
schemaandread.writedoes not accept caller-supplied write SQL.Structured
updateanddeleteneed a predicate, and the predicate joins withANDonly.Structured
updateanddeletehave a hard row limit, and a broad filter is rejected before the write starts.That row limit counts every row the write changes, so a delete cannot destroy an unbounded cascade subtree while reporting one row.
A repeated write with the same
requestIdapplies one time only.Repeated structured writes reach a rate limit.
Raw writes need an explicitly dangerous permission.
Raw writes cannot run DDL,
ATTACHor native extension loading.A caller cannot supply a backup filesystem path.
A complete backup file is always a complete database. A partial copy keeps a
.partialsuffix.Queries have a time limit, a result limit and a concurrency limit.
The native SQLite defensive mechanisms are on.
The database file never goes over the network.
These are concrete controls. None of them makes a network-exposed database absolutely safe.
The SQLite sandbox
The innermost layer is always on, and no permission disables any part of it —
danger-raw-write included. It uses the native SQLite authorizer rather than inspecting SQL with
string matching, so these are rejected during statement preparation on every path:
ATTACH DDL (CREATE / ALTER / DROP) PRAGMA
load_extension VACUUM transaction control
more than one statement in one requestDefensive mode is on, trusted schema is off, per-connection runtime limits bound SQL length, expression depth and VDBE operations, and a running statement is interrupted — inside SQLite, not merely abandoned — when it passes the timeout. Connection pooling is off, because a pooled handle would keep the authorizer and limits of the previous operation.
What is not guaranteed
There is no undo. A delete inside the configured limits commits, and there is no restore
tool. The operator owns the backup strategy. The limits protect against breadth — how many rows
one mistake touches. They do not protect against wrongness: a correct-looking write of wrong
values is applied exactly as asked.
danger-raw-write means what the name says. When an operator enables it, the token holder can
run this:
DELETE FROM jobs;That is expected behavior, not a defect. The permission deliberately removes six protections —
structured writes, the mandatory predicate, the mandatory maxRows, the bounded pre-count, the
total-changes bound, and server-generated SQL. It keeps exactly two: the idempotency key and the
write budget. The SQLite sandbox above is untouched, so raw writes still cannot run DDL, attach a
database, load an extension, or write to an internal sqlite_% object.
A permission covers the whole database. See Permissions.
A stolen token gets exactly the capabilities of its deployment. The sidecar limits capability and blast radius. It cannot make an intentionally granted destructive permission harmless. There is no expiry and no revocation list — revoking means changing the secret and restarting.
The budgets throttle; they do not isolate. SQLITE_SIDECAR_MAX_REQUESTS_PER_MINUTE is one fixed
window for the whole process, with no per-caller partition, and it runs before authentication — so
a flood of wrong tokens is bounded too, and a rejected request still spends a permit. One agent that
exhausts the budget stops the other. The write budget behaves the same way. Both are process memory:
a restart resets them, and two processes do not share them.
The container port must never face the internet. The reverse proxy is the only path in, it terminates TLS, and it is the host gate — the sidecar itself does no host filtering.
Reporting a vulnerability
Use GitHub's private security advisories on this repository. Please do not open a public issue for a security report.
Contributing
Contributions are welcome. Fork the repository, create a branch, and open a pull request.
dotnet test --solution Xakpc.SQLiteMCPSidecar.slnx # the whole suite
pwsh ./scripts/seed-dev-db.ps1 # one time, before the first launch
pwsh ./scripts/dev-sidecar.ps1 # a live sidecar on port 8080Security tests are mandatory, not optional. A change to a query path, a write path or the sandbox needs a test that proves the boundary still holds — and the suite runs a second time against the Linux container, because the sandbox depends on the native SQLite build and a developer run on another platform does not prove the shipped behaviour.
License
Apache-2.0. See LICENSE.
Contact
Pavel Osadchuk — xakpc.dev · github.com/xakpc
Project: github.com/xakpc/sqlite-mcp-sidecar
Acknowledgments
Model Context Protocol and the C# SDK
SQLite, for the authorizer and the online backup API this is built on
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