MCP Servers for persistent context across work sessions using knowledge graphs
MCP Servers for persistent context across work sessions using knowledge graphs
A collection of Model Context Protocol (MCP) servers to enhance AI models with persistent context across work sessions throughout the project lifecycle.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
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{
"mcpServers": {
"contextmanager": {
"command": "npx",
"args": [
"-y",
"github:tejpalvirk/contextmanager"
],
"options": {
"port": 3000,
"domains": ["developer", "project", "student"]
}
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| MEMORY_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
| SESSIONS_FILE_PATH | Filesystem location the server is allowed to use. | Optional |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Use Microsoft’s Playwright MCP server to navigate pages, inspect accessibility snapshots, fill forms and capture browser screenshots.
Connect GitHub MCP to repositories, issues and pull requests with GitHub’s hosted service or a locally run server.
Use the Supabase MCP server to inspect database schemas, query project data and retrieve docs through a project-scoped connection.
Search Linear issues and projects, inspect work context and manage updates through Linear’s hosted MCP server with OAuth.