
SQLite MCP Sidecar
dev.xakpcPublished by xakpc.devv0.1.3Updated Oct 24, 2026
Agent-safe MCP sidecar for one live SQLite database: read-only default, bounded writes.
Overview
A containerized MCP sidecar that gives an AI assistant controlled, permission-scoped access to one existing live SQLite database, read-only by default.
- What you can do
- Inspect the database schema as DDL, without row data or internal objects, when the schema permission is on. Run one read statement per call and get rows back in a compact tabular format, bounded by row, byte and time limits. Insert, update or delete rows through structured calls with a mandatory filter and row cap, with idempotent retries by request ID. Copy the live database to a backup directory while the owning application keeps writing, and poll for the result. Report a fixed set of health values such as journal mode and a quick check. Optionally run raw INSERT, UPDATE or DELETE SQL, only under the danger-raw-write permission.
- When to use it
- Use it when an application already owns a SQLite file and you want an agent to read it, or to change a few rows, without handing over a full SQL connection. It suits operators who can run a container next to the database and want default read-only access with bounded writes.
- Requirements
- Docker and an existing SQLite database file on a local filesystem; the sidecar never creates one. The file path is set by SQLITE_SIDECAR_DB and the bearer token by SQLITE_SIDECAR_TOKEN, sent in the Authorization header. The permission set is chosen with SQLITE_SIDECAR_PERMISSIONS (default schema,read). The data mount must be writable even for read-only permissions. Clients connect to the /db/mcp endpoint; there is no OAuth. One process serves one database, and the container port should sit only
Installation
In SourceWeft
- Open SQLite MCP Sidecar in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
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.
Contents
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.
The 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.
[!IMPORTANT] 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 SQLite- TOON for row output, which costs fewer tokens than JSON
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
The 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:
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
It 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.
A query answers in TOON, which is a compact tabular text:
truncated: 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.
The name danger-raw-write is deliberately alarming. A neutral name would hide the cost.
[!WARNING] A permission applies to every table in the database. There is no table allowlist and no column allowlist.
writedoes not protect one table from an agent that haswrite. 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:
Optional, with defaults
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
/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
[!CAUTION] The proxy must not strip the
/dbprefix./db/mcpis 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 a404that 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.
Docker Compose
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.
Kamal
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.
healthcheck.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.
Coolify
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.
Coolify runs Traefik, so a rate-limit middleware is available. It is not necessary: the in-process budget is active on every platform.
A plain VPS, with systemd
No orchestrator at all. Put the docker run under systemd so it survives a reboot:
-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.
Fly.io
A Fly Volume attaches to exactly one machine, which suits this product: one file, one writer, one sidecar.
[!WARNING] The sidecar and the owning application must run on the same 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 = falseand 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.
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:
Defensive 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
[!CAUTION] There is no undo. A
deleteinside 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:
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.
Security 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
- TOON
- Best-README-Template
Source: README.md at commit 4d692e8
Tools
0Version history
1- v0.1.3LatestOct 24, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts