What is the vectorize-mcp-server MCP server?

vectorize-io/vectorize-mcp-server — Official Vectorize MCP Server AgentRank score: 51.5/100.

Is the vectorize-mcp-server MCP server actively maintained?

The vectorize-mcp-server MCP server was last committed 26d ago and has 7 contributors. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

vectorize-mcp-server MCP Server

Name: vectorize-io/vectorize-mcp-server
Rating: 3.1 (1 reviews)
Author: vectorize-io

vectorize-io/vectorize-mcp-server

Score: 51.5 Rank #16103 MCP Server

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Overview

vectorize-io/vectorize-mcp-server is a TypeScript MCP server licensed under MIT. Official Vectorize MCP Server Topics: mcp, mcp-server.

Ranked #16103 out of 24846 indexed tools.

Ecosystem

TypeScript MIT

mcpmcp-server

Score Breakdown

Stars 15% 115

115 stars → growing community

Freshness 25% 26d ago

Last commit 26d ago → recently updated

Issue Health 25% 0%

0/5 issues closed → many open issues

Contributors 10% 7

7 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 26

Description Brief

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Issue Health high impact

You have 5 open vs 0 closed issues — triaging stale issues improves health

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 115
Forks: 26
Open Issues: 5
Closed Issues: 0
Contributors: 7
Dependents: —
Language: TypeScript
License: MIT
Last Commit: 26d ago

Matched Queries

"mcp server""mcp-server"topic:mcptopic:mcp-server

From the README

# Vectorize MCP Server

A Model Context Protocol (MCP) server implementation that integrates with [Vectorize](https://vectorize.io/) for advanced Vector retrieval and text extraction.

<a href="https://glama.ai/mcp/servers/pxwbgk0kzr">
  
</a>

## Installation

### Running with npx

```bash
export VECTORIZE_ORG_ID=YOUR_ORG_ID
export VECTORIZE_TOKEN=YOUR_TOKEN
export VECTORIZE_PIPELINE_ID=YOUR_PIPELINE_ID

npx -y @vectorize-io/vectorize-mcp-server@latest
```

### VS Code Installation

For one-click installation, click one of the install buttons below:

 

### Manual Installation

For the quickest installation, use the one-click install buttons at the top of this section.

To install manually, add the following JSON block to your User Settings (JSON) file in VS Code. You can do this by pressing `Ctrl + Shift + P` and typing `Preferences: Open User Settings (JSON)`.

```json
{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "org_id",
        "description":

Read full README on GitHub →