MCP server Databases terbaik untuk Gemini CLI
1.095 MCP server databases dengan konfigurasi Gemini CLI yang siap pakai. Buka baris untuk menyalinnya.
- 1
Connects AI agents and IDEs to enterprise databases using prebuilt tools or a custom framework for secure, structured queries.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp-toolbox": { "command": "docker", "args": [ "run", "-i", "--rm", "us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:1.17.0" ] } } } - 2
Connects AI agents and IDEs to enterprise databases using prebuilt tools or a custom framework for secure, structured queries.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "genai-toolbox": { "command": "docker", "args": [ "run", "-i", "--rm", "us-central1-docker.pkg.dev/database-toolbox/toolbox/toolbox:0.31.0" ] } } } - 3
Allows AI agents to query over 100 different databases using pre-configured connections.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "dbx": { "command": "npx", "args": [ "-y", "@dbx-app/mcp-server" ] } } } - 4
Maps lab results to LOINC codes and UCUM units and symptoms to ICPC-3 codes for AI agents, offline and without an API key.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mirobody": { "command": "uvx", "args": [ "mirobody" ] } } } - 5
Exposes your Nhost GraphQL API as an MCP server to allow AI assistants to query and mutate project data within user-defined permissions.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp": { "command": "docker", "args": [ "run", "-i", "--rm", "docker.io/nhost/mcp:0.4.0-beta2" ] } } } - 6
Keeps bulky tool output out of a coding agent's context window by running work in a local sandbox and indexing results in SQLite for on-demand search.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "context-mode": { "command": "npx", "args": [ "-y", "context-mode" ] } } } - 7
Provides an open-source China A-share data lake that allows AI agents to query stock prices, fundamentals, flows, and derivatives via MCP.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "cnequity": { "command": "uvx", "args": [ "cnequity" ] } } } - 8
Lets AI clients search, explore, query, and visualize data within a Metabase instance using the Model Context Protocol.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp": { "httpUrl": "https://{metabase_host}/api/mcp" } } } - 9
Allows AI agents to interact with Couchbase clusters and Operational Insights to manage data, query schemas, and monitor cluster health.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp-server-couchbase": { "command": "uvx", "args": [ "couchbase-mcp-server" ] } } } - 10
Query and explore ClickHouse clusters and chDB embedded databases with SQL from an AI client.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp-clickhouse": { "command": "uvx", "args": [ "mcp-clickhouse" ] } } } - 11
Gives AI clients real-time Valkey and Redis monitoring, slow-command analysis, anomaly detection, and trace investigation.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "monitor-9c1b20": { "command": "npx", "args": [ "-y", "@betterdb/mcp" ] } } } - 12
Converts plain-English questions into SQL queries against your database schemas and returns the generated SQL and results.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "queryweaver": { "command": "docker", "args": [ "run", "-i", "--rm", "docker.io/falkordb/queryweaver:0.0.11" ] } } } - 13
Connect AI assistants to DuckDB, MotherDuck, or S3-hosted databases to execute SQL queries and perform data engineering tasks.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp-server-motherduck": { "command": "uvx", "args": [ "mcp-server-motherduck" ] } } } - 14
Lets AI assistants run Apex, query records with SOQL, inspect metadata, and manage org connections through the Salesforce CLI.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "salesforce-mcp-server": { "command": "npx", "args": [ "-y", "@advanced-communities/salesforce-mcp-server" ] } } } - 15
Enables AI development tools to manage Firebase projects, query databases, manage authentication, and debug Crashlytics issues.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "firebase-mcp": { "command": "npx", "args": [ "-y", "firebase-tools" ] } } } - 16
Lets an AI agent create, modify, document, and validate Power BI semantic models, including tables, measures, and DAX queries.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "powerbi-modeling-mcp": { "command": "npx", "args": [ "-y", "@microsoft/powerbi-modeling-mcp" ] } } } - 17
Connects Firebase projects to FireCMS, infers collection schemas from Firestore data, and manages CMS data, users and configuration.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "mcp": { "command": "npx", "args": [ "-y", "@firecms/mcp-server" ] } } } - 18
Enables AI agents to discover datasets, inspect schemas, read spatial features, and execute sandboxed SQL queries against a GeoLens instance.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "geolens": { "command": "uvx", "args": [ "geolens-mcp" ] } } } - 19
Gives AI clients 68 tools for live crypto derivatives data: funding rates, arbitrage, open interest, liquidations, options and ETF flows.
Konfigurasi untuk Gemini CLI
~/.gemini/settings.json{ "mcpServers": { "bykaranteli-mcp": { "command": "npx", "args": [ "-y", "bykaranteli-mcp" ] } } }
