Seam-runtime MCP Server

SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.

Local serverstdio

What is the Seam-runtime MCP Server?

Seam-runtime is an MCP integration. SEAM: local-first memory runtime for AI agents, with retrieval and glassbox provenance over MCP.

Packages and local setup

The published pypi package is seam-runtime, version 1.3.1. Its declared MCP transport is stdio.

The package declares SEAM_DB_PATH: Path to the local SQLite memory database. Defaults to a per-user data directory if unset.; SEAM_PGVECTOR_DSN: Optional Postgres/pgvector DSN for the vector adapter. If unset, SEAM runs on the built-in SQLite vector store..

This package has launch arguments in its registry record. Use the maintainer’s configuration for those arguments rather than launching it with only the package name.

Before connecting

Check the maintainer’s instructions for account access, authentication and the supported client configuration. Once connected, inspect the tools your client receives and try a small task that matches the server’s stated purpose. The registry description does not include a verified, complete tool list.

Project and source

View the publisher’s registry entry · Project repository. This profile uses version 1.3.1 from the registry. Registration identifies the publisher namespace; it does not establish that this is a first-party integration for every service it connects.

Browse related developer tools MCP servers for tools that cover the same kind of work.

Configuration

VariableDescriptionRequired
SEAM_DB_PATHPath to the local SQLite memory database. Defaults to a per-user data directory if unset.Optional
SEAM_PGVECTOR_DSNOptional Postgres/pgvector DSN for the vector adapter. If unset, SEAM runs on the built-in SQLite vector store.Optional