МаркетплейсБазы данных

Коннекторы: Базы данных

18 готовых коннекторов в категории «Базы данных» — всего 211 MCP-инструментов: Databricks, Supabase, Firebase. Вставьте учётные данные, и агент сможет их вызывать. Писать MCP-сервер не нужно.

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18коннекторов
211MCP-инструментов
0Без учётных данных
18
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Учётные данные

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Microsoft SQL Server
Базы данных

Query a Microsoft SQL Server database directly: list tables, describe columns and run read-only T-SQL. Supports SQL Server and Windows (NTLM) authentication. Installs read-only.

5инструментов
PostgreSQL
Базы данных

Query a PostgreSQL database directly: list tables, describe columns and run read-only SQL. Installs read-only; credentials are held encrypted rather than in the connection string.

5инструментов
Algolia
Базы данных

Let your AI search and inspect your Algolia indices: list indices, search and browse records, read settings, synonyms and Rules, see top searches and searches without results and, with your confirmation, add or update records.

14инструментов
Google BigQuery
Базы данных

Let your AI explore and query Google BigQuery: list projects, datasets and tables, read schemas, preview rows for free, estimate a query's cost with a dry run before running it, page through results and check the job history. Signs in with your Google account.

11инструментов
Bubble
Базы данных

Let your AI work with your Bubble app's data: see which data types and backend workflows it exposes, search and read things; with your confirmation create or change things and run backend workflows.

8инструментов
ClickHouse
Базы данных

Read-only SQL on a ClickHouse server or ClickHouse Cloud service over the HTTP interface: databases, tables, columns, CREATE statements, table sizes, running and recent queries, and any SELECT with readonly=1.

10инструментов
Databricks
Базы данных

Let your AI work with your Databricks workspace: run SQL on a warehouse, explore Unity Catalog catalogs, schemas and tables, check clusters, warehouses, jobs and runs, read notebooks, and start or stop compute or trigger jobs after your confirmation. With a personal access token.

28инструментов
Elasticsearch
Базы данных

Let your AI explore and query your Elasticsearch cluster on Elastic Cloud, Serverless or your own servers: list indices and data streams, read mappings, search, aggregate, count, run ES|QL and, with your confirmation, write documents.

16инструментов
Firebase
Базы данных

Let your AI work with Firebase: list projects and apps, browse and query Cloud Firestore, create and update documents, look up and disable Authentication users, read Remote Config, and (switched off by default) publish Remote Config or send push notifications. Signs in with your Google account.

17инструментов
Glide
Базы данных

Let your AI work with Glide Big Tables: list the tables of your Glide team and read their rows; with your confirmation add rows and update a row.

6инструментов
MongoDB
Базы данных

Query a MongoDB database directly: introspect collections and their field shapes, and run read-only find queries with filter, projection, sort and limit. Installs read-only; credentials are held encrypted rather than in the connection string.

5инструментов
MySQL / MariaDB
Базы данных

Query a MySQL or MariaDB database directly: list tables, describe columns and run read-only SQL. Installs read-only; credentials are held encrypted rather than in the connection string.

5инструментов
Neon
Базы данных

Let your AI manage Neon serverless Postgres: projects, branches, compute endpoints, databases, roles, schemas, operations and consumption. It can create branches and start or suspend computes after your confirmation. Never returns passwords. With a Neon API key.

17инструментов
Oracle Database
Базы данных

Query an Oracle database directly: list tables, describe columns and run read-only SQL. Installs read-only; credentials are held encrypted rather than in the connection string.

5инструментов
Pinecone
Базы данных

Let your AI search your Pinecone vector database: list indexes, run semantic and keyword search, query and fetch records, check namespaces and stats, embed and rerank with Pinecone Inference, chat with your Pinecone Assistants and, with your confirmation, add records.

17инструментов
Snowflake
Базы данных

Ask your Snowflake data questions from Claude, ChatGPT or Copilot through Snowflake's official managed MCP server: Cortex Agents, Cortex Analyst semantic views, Cortex Search and your own functions, governed by your Snowflake roles.

5инструментов
Softr
Базы данных

Let your AI work with Softr: browse Softr Databases, tables and fields, list, search and read records; with your confirmation create and update records, add users to a Softr app and create magic sign-in links.

13инструментов
Supabase
Базы данных

Let your AI look after your Supabase projects: list projects and check their health, explore schemas and tables, run read-only SQL, read logs, security and performance advisors, Edge Functions, migrations, branches and storage buckets. Through the Management API with a personal access token.

24инструментов

По категориям

Все 18 коннекторов от A до Z
Внести вклад/~30 min

Нет нужного коннектора? Добавь его одним JSON.

Каждый адаптер — это один JSON-файл в packages/backend/src/adapters/. Скопируй существующий, поменяйте endpoint и auth, открой PR — параметризованный тест проверит его при сборке.

// adapters/de/my-adapter.json
{
  "slug": "my-erp",
  "name": "My ERP",
  "category": "erp",
  "authType": "BEARER_TOKEN",
  "tools": [/* ... */]
}