The Vectorize MCP Server provides a Model Context Protocol (MCP) implementation that integrates with Vectorize for advanced vector retrieval and text extraction capabilities, allowing you to enhance your AI applications with powerful document search and processing features.
You can quickly run the server using npx by setting the required environment variables:
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 users can configure the MCP server by adding this configuration to their User Settings (JSON) file. Access this by pressing Ctrl + Shift + P and typing Preferences: Open User Settings (JSON):
{
"mcp": {
"inputs": [
{
"type": "promptString",
"id": "org_id",
"description": "Vectorize Organization ID"
},
{
"type": "promptString",
"id": "token",
"description": "Vectorize Token",
"password": true
},
{
"type": "promptString",
"id": "pipeline_id",
"description": "Vectorize Pipeline ID"
}
],
"servers": {
"vectorize": {
"command": "npx",
"args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"],
"env": {
"VECTORIZE_ORG_ID": "${input:org_id}",
"VECTORIZE_TOKEN": "${input:token}",
"VECTORIZE_PIPELINE_ID": "${input:pipeline_id}"
}
}
}
}
}
To share the configuration with others in your workspace, create a .vscode/mcp.json file with the following content:
{
"inputs": [
{
"type": "promptString",
"id": "org_id",
"description": "Vectorize Organization ID"
},
{
"type": "promptString",
"id": "token",
"description": "Vectorize Token",
"password": true
},
{
"type": "promptString",
"id": "pipeline_id",
"description": "Vectorize Pipeline ID"
}
],
"servers": {
"vectorize": {
"command": "npx",
"args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"],
"env": {
"VECTORIZE_ORG_ID": "${input:org_id}",
"VECTORIZE_TOKEN": "${input:token}",
"VECTORIZE_PIPELINE_ID": "${input:pipeline_id}"
}
}
}
}
You can configure the MCP server for tools like Claude, Windsurf, Cursor, or Cline using this configuration:
{
"mcpServers": {
"vectorize": {
"command": "npx",
"args": ["-y", "@vectorize-io/vectorize-mcp-server@latest"],
"env": {
"VECTORIZE_ORG_ID": "your-org-id",
"VECTORIZE_TOKEN": "your-token",
"VECTORIZE_PIPELINE_ID": "your-pipeline-id"
}
}
}
}
Perform vector search to retrieve relevant documents from your Vectorize pipeline:
{
"name": "retrieve",
"arguments": {
"question": "Financial health of the company",
"k": 5
}
}
This will return up to 5 documents most relevant to the question about financial health.
Extract text from documents and convert them to Markdown format:
{
"name": "extract",
"arguments": {
"base64document": "base64-encoded-document",
"contentType": "application/pdf"
}
}
Provide your document encoded in base64 format and specify the content type (e.g., "application/pdf").
Generate comprehensive research from your data sources:
{
"name": "deep-research",
"arguments": {
"query": "Generate a financial status report about the company",
"webSearch": true
}
}
The webSearch parameter enables supplementing your document knowledge with web-based information.
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "vectorize" '{"command":"npx","args":["-y","@vectorize-io/vectorize-mcp-server@latest"],"env":{"VECTORIZE_ORG_ID":"your-org-id","VECTORIZE_TOKEN":"your-token","VECTORIZE_PIPELINE_ID":"your-pipeline-id"}}'See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:
{
"mcpServers": {
"vectorize": {
"command": "npx",
"args": [
"-y",
"@vectorize-io/vectorize-mcp-server@latest"
],
"env": {
"VECTORIZE_ORG_ID": "your-org-id",
"VECTORIZE_TOKEN": "your-token",
"VECTORIZE_PIPELINE_ID": "your-pipeline-id"
}
}
}
}To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.json~/.config/Claude/claude_desktop_config.json2. Add this to your configuration file:
{
"mcpServers": {
"vectorize": {
"command": "npx",
"args": [
"-y",
"@vectorize-io/vectorize-mcp-server@latest"
],
"env": {
"VECTORIZE_ORG_ID": "your-org-id",
"VECTORIZE_TOKEN": "your-token",
"VECTORIZE_PIPELINE_ID": "your-pipeline-id"
}
}
}
}3. Restart Claude Desktop for the changes to take effect