# Vectorshift

```json
{
  "name": "Vectorshift",
  "slug": "vectorshift",
  "url": "https://composio.dev/toolkits/vectorshift",
  "markdown_url": "https://composio.dev/toolkits/vectorshift.md",
  "logo_url": "https://logos.composio.dev/api/vectorshift",
  "categories": [
    "ai & machine learning",
    "workflow automation",
    "productivity & project management"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-03-29T06:54:33.673Z"
}
```

![Vectorshift logo](https://logos.composio.dev/api/vectorshift)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Vectorshift MCP or direct API to launch workflows, manage pipelines, deploy chatbots, and interact with knowledge bases through natural language.

## Summary

Vectorshift is an AI automation platform for building and deploying workflows, chatbots, and knowledge bases. Empower your business with streamlined, end-to-end automation and actionable AI insights.

## Categories

- ai & machine learning
- workflow automation
- productivity & project management

## Toolkit Details

- Tools: 12

## Images

- Logo: https://logos.composio.dev/api/vectorshift

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Vectorshift.
  - Setup:
    - Configure Api Key credentials for Vectorshift.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Trigger the lead qualification chatbot workflow
- Get status of the sales pipeline automation
- Update knowledge base with latest product FAQ

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `VECTORSHIFT_CREATE_CHATBOT` | Create Chatbot | Tool to create a new chatbot. Chatbots are conversational AI interfaces built on pipelines. Use when you need to create a new chatbot with a specific pipeline configuration. |
| `VECTORSHIFT_DELETE_CHATBOT` | Delete Chatbot | Tool to delete a chatbot by its ID. Permanently removes the chatbot from the account. Use when you need to remove a chatbot that is no longer needed. |
| `VECTORSHIFT_GET_CHATBOT` | Get Chatbot | Tool to fetch an existing chatbot by its ID or name. Returns chatbot configuration and metadata. Use when you need to retrieve details about a specific chatbot. Either chatbot ID or name must be provided. |
| `VECTORSHIFT_GET_KNOWLEDGE_BASE` | Get Knowledge Base | Tool to fetch an existing knowledge base by its ID or name. Returns knowledge base configuration and metadata. Use when you need to retrieve details about a specific knowledge base. |
| `VECTORSHIFT_GET_PIPELINE` | Get Pipeline | Tool to fetch an existing pipeline by its ID or name. Returns pipeline configuration and metadata. Use when you need to retrieve a specific pipeline's details, configuration, or metadata. |
| `VECTORSHIFT_LIST_CHATBOTS` | List Chatbots | Tool to list all available chatbots in the account. Use when you need to retrieve chatbot IDs or full chatbot details. |
| `VECTORSHIFT_LIST_KNOWLEDGE_BASES` | List Knowledge Bases | Tool to list all available knowledge bases in your VectorShift account. Use when you need to retrieve knowledge base information by id or name. |
| `VECTORSHIFT_LIST_PIPELINES` | List Pipelines | Tool to list all available pipelines in the VectorShift account. Use when you need to retrieve the catalog of pipelines. Supports filtering for shared pipelines and verbose output with full pipeline details. |
| `VECTORSHIFT_LIST_TRANSFORMATIONS` | List Transformations | Tool to list all available transformations in the account. Use when you need to retrieve transformation IDs or complete transformation objects. |
| `VECTORSHIFT_RUN_PIPELINE` | Run Pipeline | Tool to run a VectorShift pipeline with the given inputs. Use when you need to execute a pipeline and get its results or run_id for asynchronous execution. Returns the pipeline execution status, run_id, and outputs if execution completed synchronously. |
| `VECTORSHIFT_RUN_PIPELINE_IN_BULK` | Run Pipeline in Bulk | Tool to run a VectorShift pipeline in bulk with multiple sets of inputs. Use when you need to batch process multiple pipeline executions in a single API call. Returns the overall status and an array of outputs with run_id for each execution. |
| `VECTORSHIFT_TERMINATE_PIPELINE_EXECUTION` | Terminate Pipeline Execution | Tool to terminate a running pipeline execution. Use when you need to stop a pipeline run by its run_id. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Vectorshift Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Vectorshift actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Start the onboarding workflow for a new employee'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Start the onboarding workflow for a new employee'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Vectorshift
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Vectorshift tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Trigger the monthly analytics pipeline')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Trigger the monthly analytics pipeline'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Vectorshift Integration

- Supports both Vectorshift MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Vectorshift data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Vectorshift access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Vectorshift
- Scoped, least privilege access to Vectorshift resources
- Full audit trail of agent actions to support review and compliance

## Use Vectorshift with any AI Agent Framework

Choose a framework you want to connect Vectorshift with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/vectorshift/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/vectorshift/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/vectorshift/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/vectorshift/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/vectorshift/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/vectorshift/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/vectorshift/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/vectorshift/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/vectorshift/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/vectorshift/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/vectorshift/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/vectorshift/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/vectorshift/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/vectorshift/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/vectorshift/framework/autogen)

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- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
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- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
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- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.

## Frequently Asked Questions

### Do I need my own developer credentials to use Vectorshift with Composio?

Yes, Vectorshift requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)