datamcp

datamcp is a hosted Model Context Protocol gateway for PostgreSQL 12+, MySQL, OpenAPI 3.x/Swagger, and Agent Memory.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Query: Execute a SQL query against this database. Supports SELECT, INSERT, UPDATE, DELETE depending on your permissions. Use get_permissions first to check your access scope.
  • Get Permissions: Get your current permission scope. Shows which tables you can access and what operations are allowed (SELECT, INSERT, UPDATE, DELETE).
  • Get Schema: Get the database schema - tables, columns, types, foreign keys, and indexes.

What data it sees

Do you need an account

No: the server works without sign-in

datamcp is a hosted Model Context Protocol gateway for PostgreSQL 12+, MySQL, OpenAPI 3.x/Swagger, and Agent Memory. Create scoped remote MCP links for Claude, Cursor, ChatGPT, Codex, VS Code, and other compatible clients. Keep source credentials server-side, restrict database operations or API methods per link, and use structured shared project memory with full-text search, compact handoffs, scoped writes, and reviewed canonical Rules and Project Summary updates. MCP clients authenticate with an API key or OAuth 2.0 with PKCE. Free tier available; no self-hosting.

How to connect

How to connect datamcp to Claude

The server address to paste into Claude settings:

https://datamcp--mironovisa.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect datamcp to ChatGPT

The server address to paste into ChatGPT settings:

https://datamcp--mironovisa.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect datamcp to Cursor

The server address to paste into Cursor settings:

https://datamcp--mironovisa.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (8)

Raw names from tools/list. Only developers need these.

queryExecute a SQL query against this database. Supports SELECT, INSERT, UPDATE, DELETE depending on your permissions. Use get_permissions first to check your access scope.
get_permissionsGet your current permission scope. Shows which tables you can access and what operations are allowed (SELECT, INSERT, UPDATE, DELETE).
get_schemaGet the database schema - tables, columns, types, foreign keys, and indexes.
get_table_detailsGet detailed information about a specific table including columns, types, constraints, and relationships.
get_schema_changesGet the history of schema changes - what changed, when, and diffs.
resync_schemaRe-extract the database schema from the live database. Use this when the schema has changed (new tables, columns, etc.) and the cached version is outdated.
list_pending_descriptionsList tables and columns whose descriptions were auto-generated during the last resync and still need human review. Useful for AI tools to proactively offer improvements based on codebase context (models, migrations, etc.).
update_schema_descriptionUpdate the DataMCP description for a table or a column. The description is stored in DataMCP metadata (not written to the database) and is served to AI clients via get_schema. Use this to improve AI understanding of your schema based on code context like models or migrations.