A Model Context Protocol (MCP) server for interacting with the Hashnode API. This server provides tools for accessing and searching Hashnode content
A Model Context Protocol (MCP) server for interacting with the Hashnode API. This server provides tools for accessing and searching Hashnode content programmatically. That is what the hashnode mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.
Configuration is passed through the environment: HASHNODE_PERSONAL_ACCESS_TOKEN, HASHNODE_API_URL. 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.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
This sits in the developer tooling group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. It is maintained by sbmagar13; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
{
"mcpServers": {
"hashnode": {
"command": "/path/to/your/venv/bin/python",
"args": [
"/path/to/your/hashnode-mcp-server/mcp_server.py"
],
"env": {
"HASHNODE_PERSONAL_ACCESS_TOKEN": "your-personal-access-token"
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| HASHNODE_PERSONAL_ACCESS_TOKEN | Credential the server authenticates with. | Yes |
| HASHNODE_API_URL | Endpoint or connection string the server talks to. | Yes |
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