MCP server

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synthient mcp runs a Model Context Protocol server over stdio, exposing lookups, feed metadata, and schemas as tools for any MCP-compatible client.

It ships inside the CLI, so there is nothing separate to install:

brew install synthient/tap/synthient
synthient mcp

The server authenticates with the usual credential order: SYNTHIENT_API_KEY, a .env in the working directory, then the OS keychain. It exits at startup if no key is found. The only flag is --transport, which currently accepts stdio.

Tools

ToolPurpose
lookup_ipLook up intelligence for one or more IP addresses
lookup_domainLook up domain intelligence from Helios observations
get_accountReport organization, scopes, and lookup quota
list_feed_streamsList available feed streams with descriptions and aliases
list_feed_snapshotsList Parquet snapshots for a stream, with pagination
feed_snapshot_metaSnapshot metadata, checksum, size, row count, and schema
sample_streamCollect a bounded sample of live events from a real-time feed
grpc_schemaFetch protobuf descriptors through gRPC reflection

Prefer these over hand-rolled HTTP when the runtime supports MCP: they handle authentication, pagination, and stream bounding for you. lookup_ip takes many addresses at once, which costs ceil(n * 0.9) credits instead of n.

Registering the server

The Claude Code and Codex plugins register the server for you. Everywhere else, meaning Claude Desktop, an editor, or your own agent runtime, declare it yourself, using an absolute path to the binary if synthient isn't on the launcher's PATH:

{
  "mcpServers": {
    "synthient": {
      "command": "synthient",
      "args": ["mcp"]
    }
  }
}

A launcher started from the desktop rather than a shell often has neither your PATH nor your environment. If the server exits immediately, that is usually a missing binary path or a key the process never saw. The keychain, populated once with synthient auth, is the credential source that survives it.

What stays in the CLI

The tools cover the read surfaces an agent asks for mid-conversation. Bulk and long-running work stays in the CLI: snapshot downloads with checksum verification, filtered or long-running stream capture, CSV export, and the status / scopes diagnostics. The plugin skills drive those directly when a task needs them.

An agent with no tool access at all still has a machine-readable path: every page here is published as plain markdown at its own .md URL, and the whole product is condensed into the two llms.txt files.