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.
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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.
Executes shell commands via the Model Context Protocol (MCP) enabling safe execution of shell commands by AI agents.
Search ClinicalTrials.gov trials, retrieve study details and results, and match patients to eligible trials via MCP. STDIO or Streamable HTTP.
## Kafka MCP Server The Kafka MCP Server is a [Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) server that provides
MCP server for Instagit — AI-powered Git repository analysis for coding agents