Vector Embedding MCP Server
MCP Server for AI Embedding and RAG functionality
context tax
pending
security
pending
cold start
pending
freshness
pending
Our reading of Vector Embedding, from the data
Vector Embedding is a memory MCP server from sandeepmehta.
We haven't measured its tool list yet, so its token cost is unknown.
It runs locally on your machine over stdio.
Install Vector Embedding MCP server
Install in Claude Code
claude mcp add vector-embedding -- npx -y vector-embedding-mcp-serverInstall in Cursor
{
"mcpServers": {
"vector-embedding": {
"command": "npx",
"args": [
"-y",
"vector-embedding-mcp-server"
]
}
}
}Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
Install in Claude Desktop
{
"mcpServers": {
"vector-embedding": {
"command": "npx",
"args": [
"-y",
"vector-embedding-mcp-server"
]
}
}
}Settings → Developer → Edit Config (claude_desktop_config.json), then restart.
Install in VS Code
{
"servers": {
"vector-embedding": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"vector-embedding-mcp-server"
]
}
}
}Add to .vscode/mcp.json in your workspace.
Install in Windsurf
{
"mcpServers": {
"vector-embedding": {
"command": "npx",
"args": [
"-y",
"vector-embedding-mcp-server"
]
}
}
}Add to ~/.codeium/windsurf/mcp_config.json.
Freshness
Not enough public signals yet to judge maintenance.
Last commit (default branch)
no data · GitHub
Latest release
no data · GitHub
Package published
no data · npm/PyPI
Registry entry updated
no data · official registry
How it compares in Memory
Against the most-starred memory servers we index. Token cost is per model turn, measured from each server's live tool list.
| Server | Stars | Tools | Tokens / turn | Freshness | Runs |
|---|---|---|---|---|---|
| Vector Embedding (this) | — | — | not measured | — | local |
| Memory | 91,356 | — | not measured | Active | local |
| Hindsight | 51,304 | — | not measured | Active | — |
| Codebase Memory | 46,873 | — | not measured | Active | local |
| Cognee | 32,506 | — | not measured | Active | — |
| Honcho | 7,681 | — | not measured | Active | hosted |
FAQ
›How do I install the Vector Embedding MCP server in Claude Code?
Run: claude mcp add vector-embedding -- npx -y vector-embedding-mcp-server. For Cursor, VS Code, Claude Desktop and Windsurf, use the install tabs above.
›Does Vector Embedding require an API key?
No required environment variables are declared in its published metadata.
›Can I use Vector Embedding as a remote (hosted) MCP server?
No hosted endpoint is published; it runs locally over stdio.
›Is Vector Embedding in the official MCP registry?
No. It was indexed from npm.
Sources and method
- Package registry (npm / PyPI)
- listed
- Last checked against all sources
- 2026-10-19
The description, packages and links come from the maintainer's own published metadata. Token cost, security signals, freshness and the reading above are MCPSkillHub's own measurements; see the methodology. Editorial standards are owned by Ramachandra Vikas Chamarthi, Founder & AI HPC Architect. Spot an error? Request a correction or claim the listing.
Alternatives to Vector Embedding
Other memory MCP servers.