PDF Vector MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with PDF Vector MCP or direct API to parse PDFs into markdown, extract structured data, answer document questions, and search academic publications and grants through natural language.

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Api Key

PDF Vector is a document parsing and vector-search service that converts PDFs into markdown and structured data. Use it to quickly find, extract, and index details from academic papers and grant documents.

10 Tools

Try PDF Vector now

Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
PDF Vector
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TOOLS

Supported Tools

Every PDF Vector action and event your agent gets out of the box.

Ask Document

Answer one question from a general, identity, invoice, or bank-statement document.

Extract Document Data

Extract schema-constrained structured data from a general, identity, invoice, or bank-statement document.

Fetch Publications

Resolve up to 100 publication identifiers with provider auto-detection and return both resolved records and per-identifier errors.

Find Citations

Find relevant academic citations for each sentence in a paragraph and preserve provider-specific partial errors.

Find Similar Papers

Find papers related to a seed publication using citation-network similarity, optionally including relationship edges.

Get Paper Graph

Retrieve a publication plus one independently offset-controlled page of citing papers and one page of referenced papers.

Parse Academic Paper

Resolve an academic identifier or provider URL to a public PDF and parse it to markdown.

Parse Document

Convert a general, identity, invoice, or bank-statement document to markdown.

Search Publications

Search academic publications across selected databases and return one offset-controlled page, including any provider-specific partial errors.

Search Research Grants

Search US, EU, and UK research-grant providers and return one explicit offset-controlled page with partial provider errors.

SETUP GUIDE

Connect PDF Vector MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

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}`);
Import and initialize the Composio client, then create a Tool Router session for PDF Vector
3

Connect to AI Agent

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: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect PDF Vector API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

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');
Import and initialize Composio client, then create a Tool Router session
3

Execute PDF Vector Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'YOUR_SPECIFIC_PROMPT_HERE'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute PDF Vector actions with your Agent

Why Use Composio?

AI Native PDF Vector Integration

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

Managed Auth

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

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

Enterprise Grade Security

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

Use PDF Vector with any AI Agent Framework

Choose a Framework you want to connect PDF Vector with

FAQ

Frequently asked questions

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

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

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

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Managed auth, hosted MCP servers, and every PDF Vector tool your agent needs.Free to start.

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