This Model Context Protocol (MCP) server provides an advanced interface for AI agents (like those in Cursor or Claude Desktop) to interact with a
If you already use Hasura MCP, the hasura mcp mcp server is the piece that lets your assistant work with it directly. This Model Context Protocol (MCP) server provides an advanced interface for AI agents (like those in Cursor or Claude Desktop) to interact with a Hasura GraphQL endpoint. It enables agents to discover the API structure, execute both.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.
Configuration is passed through the environment: ADMIN_SECRET, YOUR_ADMIN_SECRET. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
.nvmrc or package.json engines if specified) * pnpm (or npm/yarn, adjust commands accordingly) * Access to a running Hasura GraphQL endpoint. * (Optional but recommended) Hasura Admin Secret for privileged access, or properly configured default role permissions.Plenty of planning and project tracking servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. It is maintained by husamabusafa; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
.nvmrc or package.json engines if specified) * pnpm (or npm/yarn, adjust commands accordingly) * Access to a running Hasura GraphQL endpoint. * (Optional but recommended) Hasura Admin Secret for privileged access, or properly configured default role permissions.| Variable | Description | Required |
|---|---|---|
| ADMIN_SECRET | Credential the server authenticates with. | Yes |
| YOUR_ADMIN_SECRET | Credential the server authenticates with. | Yes |
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.