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Database

Connect your AI to MySQL, PostgreSQL, Redis, MongoDB, and more

6 tools available

Database tools let your AI agent connect to your databases and execute queries or commands directly. Support for MySQL, PostgreSQL, Redis, MongoDB, ClickHouse, and Elasticsearch — all through a single MCP endpoint.

Connection URLs are stored securely via environment variables. Set your database URL once, and your AI can query your data, run migrations, analyze schemas, and manage records — all from your AI chat.

Benefits

Why use Database?

✓ 6 databases supported: MySQL, PostgreSQL, Redis, MongoDB, ClickHouse, Elasticsearch

✓ Secure credential storage via encrypted environment variables

✓ No database client installation needed

✓ Parameterized queries to prevent SQL injection

✓ Read and write operations for full data management

Use Cases

What can you do?

Data analysis

Ask your AI to query your database, analyze results, and generate insights — all conversationally.

Schema exploration

Have your AI explore table structures, indexes, and relationships in your database.

Data migration

Let your AI help migrate data between tables, databases, or even different database engines.

Monitoring queries

Run diagnostic queries to check database health, slow queries, or resource usage.

Getting Started

How to set up

Store your connection URL

Ask your AI: "Set MYSQL_URL to mysql://user:pass@host:3306/db" (works for any supported database).

Start querying

Ask your AI to run queries: "Show me all tables" or "Find users created this week".

Add more databases

Set POSTGRES_URL, REDIS_URL, MONGODB_URL, CLICKHOUSE_URL, or ELASTICSEARCH_URL for additional connections.

Your Endpoint

Connect with Database

Use this URL to connect with only Database + Environment Variables enabled.

MCP Endpoint

https://mcp.runtools.link/{YOUR_KEY}

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Tools

Database Tools

database_mysql_query

2 args

Execute a SQL query on a MySQL database. The connection URL is read from the MYSQL_URL environment variable, which must be set first using the 'env_vars_set' tool (e.g. env_vars_set key='MYSQL_URL' value='mysql://user:pass@host:3306/database'). Supports SELECT, INSERT, UPDATE, DELETE. Use ? placeholders for parameterized queries.

Arguments

Name	Type	Description
query	string	SQL query to execute	required
params	union[]	Query parameters for prepared statements. Use ? placeholders.	optional

database_postgres_query

2 args

Execute a SQL query on a PostgreSQL database. The connection URL is read from the POSTGRES_URL environment variable, which must be set first using the 'env_vars_set' tool (e.g. env_vars_set key='POSTGRES_URL' value='postgresql://user:pass@host:5432/database'). Supports SELECT, INSERT, UPDATE, DELETE. Use $1, $2 placeholders for parameterized queries.

Arguments

Name	Type	Description
query	string	SQL query to execute	required
params	union[]	Query parameters for prepared statements. Use $1, $2 placeholders.	optional

database_redis_command

2 args

Execute a Redis command. The connection URL is read from the REDIS_URL environment variable, which must be set first using the 'env_vars_set' tool (e.g. env_vars_set key='REDIS_URL' value='redis://user:pass@host:6379'). Supports GET, SET, HGET, HSET, LPUSH, LRANGE, DEL, KEYS, and all standard Redis commands.

Arguments

Name	Type	Description
command	string	Redis command to execute (GET, SET, HGET, LPUSH, DEL, KEYS, etc.)	required
args	string[]	Arguments for the Redis command (e.g. for SET: ['mykey', 'myvalue'])	optional

database_mongodb_query

7 args

Execute a MongoDB operation (find, insertOne, updateOne, deleteOne, aggregate, etc.). The connection URL is read from the MONGODB_URL environment variable, which must be set first using the 'env_vars_set' tool (e.g. env_vars_set key='MONGODB_URL' value='mongodb://user:pass@host:27017/database'). The database is taken from the URL.

Arguments

Name	Type	Description
collection	string	MongoDB collection name	required
operation	enum	MongoDB operation to execute Values: `find` `findOne` `insertOne` `insertMany` `updateOne` `updateMany` `deleteOne` `deleteMany` `aggregate` `countDocuments`	required
filter	record	Query filter document (for find, findOne, update, delete, countDocuments)	optional
document	unknown	Document to insert (for insertOne) or array of documents (for insertMany)	optional
update	record	Update document (for updateOne, updateMany). Use $set, $inc, etc.	optional
pipeline	record[]	Aggregation pipeline stages (for aggregate)	optional
options	record	Additional options: { sort, limit, skip, projection }	optional

database_clickhouse_query

1 arg

Execute a ClickHouse SQL query. The connection URL is read from the CLICKHOUSE_URL environment variable, which must be set first using the 'env_vars_set' tool (e.g. env_vars_set key='CLICKHOUSE_URL' value='http://user:pass@host:8123/database'). Supports SELECT, INSERT, CREATE TABLE, and other ClickHouse SQL statements.

Arguments

Name	Type	Description
query	string	ClickHouse SQL query to execute	required

database_elasticsearch_query

3 args

Execute an Elasticsearch REST API request. The base URL is read from the ELASTICSEARCH_URL environment variable, which must be set first using the 'env_vars_set' tool (e.g. env_vars_set key='ELASTICSEARCH_URL' value='http://user:pass@host:9200'). Send requests to any Elasticsearch endpoint: search, index documents, manage indices, etc.

Arguments

Name	Type	Description
method	enum	HTTP method Values: `GET` `POST` `PUT` `DELETE`	required
path	string	API path (e.g. '/myindex/_search', '/myindex/_doc/1', '/_cat/indices')	required
body	record	Request body as JSON (for POST/PUT requests, e.g. search query DSL)	optional

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