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Tools for autonomous AI agents

About this integration

A semantic search engine for files and code.

Transport
stdio
Authentication
api-key
Initial setup
credentials
Runtime
unattended
Evidence
documented
Version
0.29.0
Package
vexor
Last compatibility test
Not independently tested

Connect your agent

vexor

Pinned publisher README and Python manifest reviewed. Provider authentication varies; the documented default remote embedding path accepts API keys, while local models can support offline use. Indexing reads local content and persists indexes according to Vexor configuration. The package was not executed or independently security-audited.

Capabilities: Build semantic indexes over local files and code, Search indexed files and return matching source text, Warm an index explicitly

Connected profiles

Additional details

Registry identifier

io.github.scarletkc/vexor

Source ↗ · Checked 2026-09-17
Published version

0.29.0

Source ↗ · Checked 2026-09-17
Metadata license

CC0-1.0; package licenses are separate

Source ↗ · Checked 2026-09-17
Package ecosystem

pypi

Source ↗ · Checked 2026-09-17
Source artifact

vexor

Source ↗ · Checked 2026-09-19
Source manifest version

unspecified

Source ↗ · Checked 2026-09-19
Unattended configuration

The MCP server can be configured with environment variables and explicitly does not require the interactive initialization wizard.

Source ↗ · Checked 2026-09-19
Authentication and prerequisites

Remote embedding providers use an API key supplied by environment or configuration; the publisher also documents a fully offline local-model option.

Source ↗ · Checked 2026-09-19
Connection configuration

The package exposes a built-in stdio MCP server launched with vexor mcp and supports command, args, and environment configuration in MCP clients.

Source ↗ · Checked 2026-09-19
Review scope

Publisher documentation reviewed; package and integration endpoint not executed or independently security-audited.

Source ↗ · Checked 2026-09-19