MCP Parseable Server MCP Server

MCP Parseable Server MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. mcp-parseable-server - A Parseable MCP Server ----------------------.

What you get

This project provides an MCP (Message Context Protocol) server for Parseable, enabling AI agents and tools to interact with Parseable data streams (logs, metrics, traces) using natural language and structured tool calls.

• List available data streams in Parseable
• Query data streams using SQL
• Get schema, stats, and info for any data stream
• Modular MCP tool registration for easy extension
• Supports both HTTP and stdio MCP modes
• Environment variable and flag-based configuration

Setting it up

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

Configuration and credentials

You will need one environment variable: PARSEABLE_URL. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

Choosing this one

Plenty of database access 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 thenodon; 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We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.

Before you rely on it

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp parseable server mcp server does with a few real requests.