safeselect
Provides read-only access to MongoDB collections, including discovery, bounded find and aggregation, distinct/count operations, explain, profiling, schema inference, and anonymized fixture generation.
Provides read-only access to PostgreSQL databases, including schema discovery, table/index inspection, statistics, bounded SELECT queries, and EXPLAIN plan analysis.
Click on "Install 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., "@safeselectshow me the indexes on 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.
SafeSelect MCP
Agents can look. They cannot mutate.
Fail-closed, read-only PostgreSQL and MongoDB access for AI coding agents over MCP.
SafeSelect gives coding agents a constrained database tool: discover structure, inspect production-shaped data, explain queries, diagnose connectivity, and recover stale connections without ever receiving write-capable tools or direct access to database credentials.
Most database MCP servers make it easy to connect an agent to a database. SafeSelect is built for the harder problem: letting an agent inspect production-shaped data without turning the database into an unrestricted tool surface.
SafeSelect is a safety boundary for agent access, not a replacement for database permissions. Use least-privilege database users when you can; SafeSelect still constrains overpowered credentials when agents connect through it.
Current backend support: PostgreSQL and MongoDB.
Related MCP server: databricks-mcp
Where It Helps
Debug an application against realistic data without exposing mutation tools.
Let an agent inspect schemas, indexes, query plans, and bounded rows during development.
Explore MongoDB collections through bounded reads and sampled schema inference.
Reuse existing DBeaver, Docker Compose, or MongoDB Compass connections.
Give coding agents database context while keeping policy, limits, secrets, and audit under your control.
Why SafeSelect?
SafeSelect is intentionally narrower than general-purpose database MCP servers. It is not a tool builder, SQL workbench, or remote database gateway. It is a local safety boundary for agents that need database visibility, not database power.
SafeSelect prioritizes | What this means |
Local stdio transport | No network listener or open MCP port |
Read-only tools | Agents do not receive write-capable database tools |
Credential-independent safety | Even DBA credentials are constrained to SafeSelect's read-only tool surface |
Fail-closed enforcement | Policy violations terminate the process |
Secret isolation | Passwords stay in Keychain or environment variables |
Project-scoped policy | Each repository defines its own allowed data surface |
Embedded sidecar | One installed binary reaches JDBC and MongoDB drivers behind Rust policy |
What Makes It Different?
General database MCP servers | SafeSelect |
Often expose configurable tools | Exposes a fixed, read-only tool surface |
May support remote HTTP transports | Uses local MCP stdio by default |
Usually optimize for broad backend coverage | Optimizes for enforceable policy and agent safety |
Often rely on least-privilege database users | Enforces read-only behavior even when credentials are overpowered |
Often keep connection setup separate | Imports from DBeaver, Docker Compose, and MongoDB Compass |
May log queries for debugging | Hashes query text before audit logging |
Treat security failures as recoverable errors | Fails closed and terminates the MCP process |
The product promise is simple: agents can look, but they cannot mutate. Even if the configured database user is a DBA, the agent still only receives SafeSelect's constrained read-only operations.
This is useful when teams already have DBeaver, Docker Compose, or MongoDB Compass connections and need to expose them to agents without redesigning database users first.
Backend Support
Backend | Status | Tools |
PostgreSQL | Supported | Discovery, indexes/statistics, |
MongoDB | Supported | Discovery, find, aggregation, distinct/count, explain, profiling, schema inference, and anonymized fixtures |
Architecture
The agent talks to SafeSelect through MCP stdio. SafeSelect enforces policy in Rust, stores secrets outside project files, and reaches databases through an embedded Java sidecar: JDBC for SQL backends and the MongoDB driver for MongoDB. The Rust to Java channel is JSON-lines over stdin/stdout: no sockets, no open ports.
Quick Start
brew install antonillos/tap/safeselect
# Import a project database
safeselect import-dbeaver ~/Downloads/dbeaver-export.zip
# or:
# safeselect import-compose
# safeselect import-compass --path "$HOME/.config/MongoDB Compass"
# Verify the environment
safeselect check --environment testing
# Install the MCP entry. If this is the only environment, its name is inferred.
safeselect agent install opencode
# Verify exactly what was installed and where.
safeselect agent statusSafeSelect uses any available Java 17+ runtime instead of requiring Homebrew's
openjdk@17 formula specifically. If Java is missing or too old, install or
select a Java 17+ runtime before running database commands.
The generated MCP name defaults to safeselect-<project>-<environment>.
The generated MCP entry is a stdio server scoped to one project and environment:
{
"mcpServers": {
"safeselect-myapp-testing": {
"command": "safeselect",
"args": ["serve", "--project", "/path/to/myapp", "--environment", "testing"]
}
}
}SafeSelect uses each client's official MCP configuration contract, pins the
absolute repository path, and defaults to user scope. Add --local for a
project-scoped entry where the client supports it. See
AI agent integration for exact paths, scopes, and manual
configuration.
Agent Workflow
Agents should use SafeSelect in this order:
database_infolist_tablesthendescribe_table; inspectlist_table_indexesor bounded statistics when useful for SQLlist_databases,list_collections, thendiscover_document_schemafor NoSQLselect/explain, or the bounded MongoDB read tool that matches the taskcheck,connect, orreconnectwhen connectivity is stale
Agents must discover relation or collection structure before querying unfamiliar data and use each discovery response's next_suggestion instead of guessing column or field names. SQL descriptions are catalog metadata; MongoDB schemas are inferred from a bounded, non-exhaustive sample.
MongoDB query documents must remain complete nested JSON values. Clients that
flatten nested tool arguments can pass filter, projection, and sort as
JSON-encoded object strings and pipeline as a JSON-encoded array string.
redact_fields also accepts a JSON-encoded string array. Flattened keys are
rejected so a lost filter or redaction can never become a less constrained
fallback.
MongoDB server-side JavaScript is never available: $where, $function, and
$accumulator are rejected recursively in filters, projections, sorts, and
aggregation pipelines before the MongoDB driver receives them. When rejected,
rebuild the request with declarative MQL operators; SafeSelect has no setting
that enables JavaScript.
Query responses include row_count, byte_count, elapsed_ms, and a human-readable elapsed value so agents can reason about result size and latency.
Every MCP success and error includes one contextual next_suggestion. Agents
should follow that single safe action, never blindly repeat an invalid request,
and stop when the suggestion is terminal. For clients that only show an MCP
error summary, SafeSelect also includes the trusted next suggestion in that
summary without exposing database-derived detail.
Security Model
Fail closed: security violations terminate the MCP process.
Read only: SQL allows
SELECT,EXPLAIN, andWITH; NoSQL backends allow discovery and read-only document reads.No server-side JavaScript: MongoDB
$where,$function, and$accumulatorare rejected in Rust and again in the Java sidecar.Scoped access: schemas, relations, databases, and collections can be allowed or denied.
Hard limits: row count, result bytes, and timeouts are enforced; MongoDB read commands receive the same timeout as
maxTimeMS.Secret isolation: passwords live in macOS Keychain or environment variables, never in project config.
Driver verification: JDBC drivers are checked by SHA-256 before use.
Audit trail: query text is hashed before being recorded; the current session exposes bounded audit metadata through
audit_statusandaudit_recent.
Deliberate Limits
SafeSelect does not expose database writes, migrations, administration, or arbitrary command execution.
PostgreSQL and MongoDB are the supported backends today; broad connector count is not the goal.
MCP transport is local stdio. SafeSelect is not a remote database gateway.
MongoDB schema discovery is sampled and bounded, not an exhaustive schema guarantee.
SafeSelect complements database-native least privilege; it does not replace it.
MCP Tools
Area | Tools |
SQL |
|
MongoDB reads |
|
MongoDB analysis |
|
Connection |
|
Audit |
|
Config |
|
Setup |
|
When no .safeselect/ directory exists, safeselect serve --environment <env> enters setup mode automatically and exposes only the setup-safe tools.
Setup mode does not expose query tools. Agents can help import and validate configuration before any database inspection tools become available.
CLI Essentials
Command | Purpose |
| Start the MCP server |
| Verify config, secrets, tunnels, sidecar, and backend connectivity |
| Print deeper diagnostics with stable codes |
| Import DBeaver connections |
| Import from docker-compose |
| Import MongoDB Compass connections |
| Install an MCP entry |
| Store the database password |
| Store the SSH password |
| Remove installed binaries, global state, audit data, and Keychain entries |
| Remove only user-local binaries and preserve configuration |
Use safeselect --help or a command-specific --help for the full CLI.
Uninstall checks both release-installer and Cargo binary locations.
MongoDB Compass imports support SSH-tunneled mongodb+srv:// connections by resolving
the SRV target and rewriting the local endpoint with the required TLS and direct-connection
options.
Configuration
Global state lives in ~/.config/safeselect/ by default. Project policy lives in .safeselect/ at the repository root:
<repo-root>/
└── .safeselect/
├── project.toml
└── environments/
└── <env>.tomlSafeSelect walks upward from the current directory to find .safeselect/. Use --project <path> when an agent or script should target a specific repository.
Supported Agents
Client | User scope | Project scope | Integration |
OpenCode | Yes | Yes | JSON/JSONC |
OpenAI Codex | Yes | Yes | lossless TOML |
Claude Code | Yes | Yes | native |
Cursor | Yes | Yes |
|
Windsurf | Yes | No | global Windsurf MCP config |
GitHub Copilot | Yes | Yes |
|
Gemini CLI | Yes | Yes |
|
SafeSelect never silently falls back to a broader scope. In particular,
--local for Windsurf fails with a clear correction because Windsurf does not
document a project-scoped MCP configuration.
Build From Source
./install.sh
safeselect --versionRequirements: Rust 1.81+, Java 17+, Maven 3.8+. sshpass is optional for password-based SSH tunnels.
Documentation
Release notes are generated from CHANGELOG.md.
License
MIT - see LICENSE.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseNot gradedqualityAmaintenanceProvides a read-only PostgreSQL SQL surface for LLM agents via MCP, with defense-in-depth security layers for safe database queries.3MIT
- AlicenseAqualityBmaintenanceSafe, read-only SQL analytics for AI agents over MCP, enabling exploration, profiling, and querying of data without mutation risk.5MIT
- FlicenseNot gradedqualityCmaintenanceProvides read-only database access for AI agents across multiple databases (Postgres, MySQL, MongoDB, Elasticsearch) with enforced read-only guarantees and separate tools for prod and non-prod environments.
- AlicenseNot gradedqualityBmaintenanceProvides read-only access to databases for MCP-compatible AI tools, allowing schema exploration and SELECT queries without exposing credentials or risking data changes.923MIT
Related MCP Connectors
Read-only Remote MCP for externally grounded AI agent trust receipts.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Read-only Dant3 MCP for public rooms, agents, jobs and provisional machine onboarding.
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/antonillos/safeselect'
If you have feedback or need assistance with the MCP directory API, please join our Discord server