MySQL (read-only, switchable)

io.github.shibbirweb由 GitHub 帳號 shibbirweb 發布v1.1.6更新於 Oct 24, 2026

Read-only MySQL access, with the database and server switchable mid-conversation.

已驗證STDIO僅桌面資料庫

概覽

AI 產生的概覽

讓 AI 助理以唯讀方式存取 MySQL,並可在對話中切換資料庫、伺服器與憑證,不必重新啟動用戶端。

可以做什麼
提供連線類工具(current_connection、list_connections、list_databases、use_database、use_connection、connect)與讀取類工具(list_tables、describe_table、get_table_indexes、get_foreign_keys、get_table_sample、run_query)。目前連線是執行時狀態,因此切換資料庫、設定檔、伺服器或憑證只需一次工具呼叫;切換前會先執行 SELECT 1 驗證,失敗則保留原連線。讀取工具支援僅對該次呼叫生效的 database 參數。唯讀由 SQL 驗證器、停用 multipleStatements 的驅動程式以及唯讀 MySQL 工作階段共同保證。
適用情境
當助理需要檢視 MySQL 結構並執行唯讀查詢時適用,特別適合在一次對話中於多個資料庫、伺服器或具名設定檔之間切換,而不必修改設定並重新啟動用戶端。適合探索、報表與結構問答,不適合任何需要寫入資料的工作。
執行需求
以 stdio 方式在本機執行,可用 npx(需要 Node 22 或更新版本)或 Docker 映像。需要可連線的 MySQL 伺服器及連線設定:MYSQL_HOST、MYSQL_PORT、MYSQL_USER、MYSQL_PASSWORD、MYSQL_DATABASE,或使用 MYSQL_PROFILES JSON 物件搭配 MYSQL_DEFAULT_PROFILE。可選逾時 MYSQL_CONNECT_TIMEOUT_MS 與 MYSQL_QUERY_TIMEOUT_MS。並非必須設定:沒有設定時伺服器仍會啟動,工具會提示呼叫 connect。
安裝前請注意
憑證透過環境變數提供,例如 MYSQL_PASSWORD 與 MYSQL_PROFILES;README 指出用戶端設定檔中的憑證以明文存放在磁碟上,應避免納入版本控制。connect 工具可在執行時接受主機、使用者、密碼與資料庫,因此助理可以把伺服器指向任何可連線的 MySQL 伺服器。唯讀保證只是一道防護,並非權限系統:它無法阻止持有相同憑證的人透過其他用戶端寫入,因此應使用僅具 SELECT 權限的帳號。查詢結果會成為對話內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 MySQL (read-only, switchable),將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

mcp-mysql-read-only

[CI] [M8ven Verified] [npm] [npm downloads] [Docker Hub] [Docker pulls] [Image size] [License: MIT]

An MCP server that gives an AI assistant read-only access to MySQL, and lets it change database, server and credentials mid-conversation without restarting the client.

Most MySQL MCP servers read their connection from environment variables once at startup. Pointing one at a different database means editing a config file and restarting the assistant, which loses your conversation. This server keeps the connection as runtime state, so switching is just another tool call.

Runs from npm with npx, or entirely in Docker with nothing installed on your machine.

mermaid
flowchart LR    A["AI assistant<br/>Claude Desktop / Claude Code"]    B["mcp-mysql-read-only<br/>one process, whole session"]    C[("app_dev")]    D[("staging")]    E[("analytics")]    F[("any server<br/>reached with connect")]
    A <-->|"MCP over stdio"| B    B -.->|"pooled per target"| C    B -.->|"pooled per target"| D    B -.->|"pooled per target"| E    B -.->|"opened at runtime"| F

The server lives for the whole session, so the active connection is just state inside it. Switching selects a different pool rather than reconnecting, and switching back reuses a warm one.


Quick start

Two ways to run it. npm is the shorter setup; Docker keeps the server inside a container.

npm

bash
MYSQL_HOST=127.0.0.1 \MYSQL_USER=readonly \MYSQL_PASSWORD=secret \MYSQL_DATABASE=my_database \npx -y @shibbirweb/mcp-mysql-read-only

Requires Node 22 or newer. There is no container in the way, so 127.0.0.1 means what you expect.

Docker

bash
docker run -i --rm \  --add-host host.docker.internal:host-gateway \  -e MYSQL_HOST=host.docker.internal \  -e MYSQL_USER=readonly \  -e MYSQL_PASSWORD=secret \  -e MYSQL_DATABASE=my_database \  shibbirweb/mcp-mysql-read-only

Use host.docker.internal to reach a MySQL running on the same machine as Docker. Inside the container, localhost means the container itself.

The container is the more isolated of the two: the server runs with only what the image and the environment give it. Over npm it runs directly on your machine with your user's access. Both enforce the same read-only guarantee.

Claude Desktop

Add to claude_desktop_config.json:

json
{  "mcpServers": {    "mysql": {      "command": "npx",      "args": ["-y", "@shibbirweb/mcp-mysql-read-only"],      "env": {        "MYSQL_HOST": "127.0.0.1",        "MYSQL_USER": "readonly",        "MYSQL_PASSWORD": "secret",        "MYSQL_DATABASE": "my_database"      }    }  }}

Or the same server in Docker:

json
{  "mcpServers": {    "mysql": {      "command": "docker",      "args": [        "run", "-i", "--rm",        "--add-host", "host.docker.internal:host-gateway",        "-e", "MYSQL_HOST=host.docker.internal",        "-e", "MYSQL_USER=readonly",        "-e", "MYSQL_PASSWORD=secret",        "-e", "MYSQL_DATABASE=my_database",        "shibbirweb/mcp-mysql-read-only"      ]    }  }}

Claude Code

Same shape, in .mcp.json at your project root:

json
{  "mcpServers": {    "mysql": {      "command": "npx",      "args": ["-y", "@shibbirweb/mcp-mysql-read-only"],      "env": {        "MYSQL_HOST": "127.0.0.1",        "MYSQL_USER": "readonly",        "MYSQL_PASSWORD": "secret",        "MYSQL_DATABASE": "my_database"      }    }  }}

Either form from the Claude Desktop section works here too.

Restart the client once. After that you never need to restart it to change database.

Credentials in these files sit on disk in plain text. Prefer a MySQL account with only SELECT grants, and keep the file out of version control. See Security.


Switching connections

Just ask. These map onto the connection tools:

"switch to the staging database" "what tables are in analytics?" "connect to MySQL on 10.0.0.5 as reporting_user"

WantRestart?
Another database on the same serverNo
Another named profileNo
A different server or credentialsNo
A new permanent profile in MYSQL_PROFILESYes, once
mermaid
sequenceDiagram    autonumber    actor You    participant A as Assistant    participant S as MCP server    participant M as MySQL
    You->>A: "how many users in staging?"    A->>S: use_connection(staging)    S->>M: open + SELECT 1    M-->>S: ok    Note over S: verified, so the switch is committed    S-->>A: Switched to staging    A->>S: run_query(SELECT COUNT(*) ...)    S->>M: SELECT COUNT(*) ...    M-->>S: 4821    A-->>You: 4821 users in staging
    You->>A: "and in production?"    Note over A,S: same session, no restart    A->>S: use_connection(production)

A switch that fails verification is never committed, so the previous connection stays active and the session keeps working:

mermaid
sequenceDiagram    participant S as MCP server    participant M as MySQL
    S->>M: open "no_such_db" + SELECT 1    M-->>S: Unknown database    Note over S: active connection left untouched    S-->>S: Error: Unknown database 'no_such_db'

Named profiles

Define several connections up front with MYSQL_PROFILES, a JSON object:

json
{  "local":   { "host": "host.docker.internal", "user": "root",      "password": "",       "database": "app_dev" },  "staging": { "host": "db.staging.internal",  "user": "readonly",  "password": "secret", "database": "app" },  "reports": { "host": "db.staging.internal",  "user": "readonly",  "password": "secret", "database": "analytics" }}

Passed as a single environment variable:

bash
docker run -i --rm \  -e MYSQL_PROFILES='{"local":{"host":"host.docker.internal","user":"root","password":"","database":"app_dev"}}' \  -e MYSQL_DEFAULT_PROFILE=local \  shibbirweb/mcp-mysql-read-only

host defaults to host.docker.internal, port to 3306, password to empty. user and database are required; a profile missing either is skipped with a warning rather than taking the server down.

Reaching somewhere not in the profiles

The connect tool takes a host, user, password and database at runtime and keeps it for the rest of the session under an alias. Nothing is written to disk, and no restart is involved, so you never have to edit MYSQL_PROFILES just to look at one database once.


Tools

Connection

ToolPurpose
current_connectionWhich server and database is active
list_connectionsAvailable profiles, * marks the active one
list_databasesDatabases on the connected server
use_databaseSwitch schema on the current server
use_connectionSwitch to a named profile, optional database override
connectOpen any server with explicit credentials, optional alias

Reading

ToolPurpose
list_tablesTables in the active database
describe_tableColumns and types for one table
get_table_indexesIndexes for one table
get_foreign_keysForeign key relationships for one table
get_table_sampleUp to 50 sample rows
run_queryOne read-only statement

Every reading tool also accepts an optional database, applied to that call only, leaving the active connection alone. Useful for comparing two databases without switching back and forth.

use_database, use_connection and connect each open the connection and run SELECT 1 before committing the switch, so a bad database name or unreachable host fails immediately. A failed switch leaves the previous connection active.


Configuration

VariableDefaultPurpose
MYSQL_PROFILESnoneJSON object of named profiles
MYSQL_DEFAULT_PROFILEnoneWhich profile starts active
MYSQL_HOSThost.docker.internalSingle-connection fallback
MYSQL_PORT3306"
MYSQL_USERnone"
MYSQL_PASSWORDempty"
MYSQL_DATABASEnone"
MYSQL_QUERY_TIMEOUT_MS30000Statement timeout
MYSQL_CONNECT_TIMEOUT_MS10000Connection timeout

MYSQL_USER plus MYSQL_DATABASE register a profile named default. None of these are required: with no configuration at all the server still starts, and the tools tell you to call connect.

Starting profile: MYSQL_DEFAULT_PROFILE if it names a real profile, else default, else the first one defined.


Security

Two independent layers keep this read-only, so a hole in one is not automatically a write.

mermaid
flowchart TD    Q["run_query"] --> V{"SQL validator"}    V -->|"DELETE, DROP, stacked statements,<br/>write behind a CTE, INTO OUTFILE"| R1["rejected, no connection used"]    V -->|"reads only"| D{"mysql2 driver"}    D -->|"multipleStatements: false"| R2["a second statement<br/>cannot even be sent"]    D --> M{"MySQL session"}    M -->|"SET SESSION TRANSACTION READ ONLY"| R3["writes rejected by the server<br/>with error 1792"]    M -->|"read"| OK["rows returned"]
    style R1 fill:#fde,stroke:#b55    style R2 fill:#fde,stroke:#b55    style R3 fill:#fde,stroke:#b55    style OK fill:#dfd,stroke:#5b5

A SQL validator. Only SELECT, WITH, SHOW, DESCRIBE, DESC and EXPLAIN may lead a statement. Before any keyword check, string literals, backtick identifiers and --, # and /* */ comments are blanked out, so a keyword or semicolon hidden inside a literal is never mistaken for SQL. Statement stacking is rejected. WITH and EXPLAIN ANALYZE have their bodies scanned for write keywords, because both can carry a write behind a harmless first word. INTO OUTFILE, INTO DUMPFILE, LOAD DATA, SLEEP() and BENCHMARK() are blocked. Table and database names passed as tool arguments must match ^[A-Za-z0-9_$]+$, so they cannot break out of the identifier they are interpolated into.

The MySQL session. Every pooled connection runs SET SESSION TRANSACTION READ ONLY and SET SESSION MAX_EXECUTION_TIME. With autocommit on, each statement is its own read-only transaction, so the server rejects a write with error 1792 even if the validator were somehow bypassed. The driver runs with multipleStatements: false, so a second statement cannot be smuggled in at all.

What this is not

This is a guard, not a permission system. It stops an assistant from writing through this server. It does not stop anyone holding the same credentials from writing through any other client.

Point it at a read-only MySQL user. This is the real protection:

sql
CREATE USER 'readonly'@'%' IDENTIFIED BY 'a strong password';GRANT SELECT ON your_database.* TO 'readonly'@'%';

With that, a bug in this server still cannot write anything.

Other limits worth knowing:

  • SLEEP() and BENCHMARK() are blocked outright as a blunt guard against hanging the session.
  • A column named exactly update or delete inside a WITH query is rejected. Backtick it.
  • Results are truncated to 100 rows in the tool output. The query itself is not limited, so add a LIMIT when reading large tables.

Known behaviour

Parallel tool calls. The active connection is a single piece of process state. If a client issues several tool calls in one batch they are handled concurrently, so a use_database batched alongside a run_query is not guaranteed to land first. Sequential calls behave as expected. When a read must be pinned to a particular database, pass the per-call database argument instead of relying on a switch made in the same batch.

Shutdown. The server exits on SIGINT/SIGTERM, not when stdin closes. Open pool sockets keep the event loop alive, and stdin reaching EOF only means no further requests were buffered; treating that as a shutdown signal tears down pools while calls are still in flight. Any script driving the server directly should read until it has the responses it expects, then terminate the process.


Development

Everything runs in Docker, so a clone and Docker are the only requirements:

bash
git clone https://github.com/shibbirweb/mcp-mysql-read-only.gitcd mcp-mysql-read-only./scripts/test-in-docker.sh

That starts a throwaway MySQL container, builds the test image, runs the full suite against it and tears everything down. Your own MySQL is never touched.

With Node 22 installed locally:

bash
npm cinpm run buildnpm run test:unit          # no database needednpm test                   # integration tests need MySQL, see below

Integration tests read TEST_MYSQL_HOST, TEST_MYSQL_PORT, TEST_MYSQL_USER, TEST_MYSQL_PASSWORD. They create and drop two scratch databases (mcp_test, mcp_test_alt), so point them at a disposable server. When MySQL is unreachable they skip rather than fail.

Project structure

src/  index.ts                Entry point  ApplicationFactory.ts   Composition root: the only file that wires things together  types/                  Interfaces and type aliases, one file per concern  errors/                 Named error classes  domain/                 ConnectionTarget, ConnectionProfile (immutable value objects)  config/                 Reading configuration from the environment  connections/            Target factory, profile registry, connection manager  database/               Pool manager, read-only session initializer, query executor  validation/             SQL skeletonizer, validators, rules/  formatting/             Response and row rendering  tools/                  BaseTool, DatabaseScopedTool, connection/, reading/  server/                 McpMySqlServer

Dependencies point inward, and no class constructs its own collaborators: everything is injected by ApplicationFactory, which is what lets each part be unit tested without a database or the environment.

Developer documentation, including why each class is built the way it is and which design patterns are used where, lives in the wiki (source in docs/wiki/).


Contributing

Pull requests target master. CI runs the full suite against MySQL 8.0 and 8.4 and builds the image for amd64 and arm64. Please keep changes covered by tests, and update docs/wiki/ when behaviour changes.

There is a second copy of this document, README.dockerhub.md, which is what the release workflow publishes as the Docker Hub description. Docker Hub renders neither mermaid nor relative links, so that copy uses ASCII diagrams and absolute URLs. If you change user-facing behaviour here, change it there too.

Changelog

Release history, including which versions reached npm and which reached only Docker Hub, is in CHANGELOG.md.

Privacy

The server sends nothing anywhere except to the MySQL you point it at: no telemetry, no analytics, nothing written to disk, nothing kept after it exits. What does leave your machine is whatever your assistant reads, since query results become conversation content. PRIVACY.md sets out both halves.

License

MIT © Md. Shibbir Ahmed

來源:README.md,提交 8e703bd

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

2
  1. v1.1.6最新Sep 24, 2026
  2. v1.1.5Sep 22, 2026

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