Developer · Local MCP server
Vectr
Semantic codebase search + persistent working memory for AI code editors. Local, no API key.
What the MCP Registry states
The entry as published to the official MCP Registry (read 2026-10-04), latest version.
- Registry name
io.github.swapnanil/vectr- Version
- 1.12.0
- Status
- Active
- Category
- developer
- Transport
- stdio (local process), Streamable HTTP
- Package
- PyPI
- Published
- 2026-09-02
- Updated
- 2026-09-02
- Publisher
- swapnanil (GitHub)
- Website
- swapnanilsaha.com/tools/vectr
- Repository
- github.com/swapnanil/vectr
- Source
- Registry API entry
Packages
How to connect Vectr
Vectr runs locally from a Python package published to PyPI: vectr version 1.12.0. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx vectr.
Vectr runs locally from a Python package published to PyPI: vectr version 1.12.0. The package starts a local server that speaks MCP over Streamable HTTP; the client then connects to it by URL. It reads the environment variable VECTR_PORT; set it in the client's configuration for this server.
In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):
{
"mcpServers": {
"vectr": {
"command": "uvx",
"args": [
"vectr"
]
}
}
}Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect
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