# PDF Vector MCP

Vendor: PDF Vector  
Category: docs  
Auth: API_KEY  
Composio slug: `pdf_vector`

PDF Vector parses documents into markdown, extracts structured data, answers document questions, and searches academic publications and grants.

## Verdict

PDF Vector exposes ten tools that parse documents into markdown, extract structured data, answer questions from uploaded files, and search academic literature. An @mention lets your team turn invoices, bank statements, IDs, and research papers into queryable text without leaving a Project. Researchers use it to map citation networks and find related publications; ops teams use it to pull line items from invoices or verify identity documents. Each operation consumes credits from your PDF Vector account, and the response reports the model used and the cost incurred. You'll need an API key from PDF Vector to connect.

## Tools

- **Ask Document** — Answer one question from a general, identity, invoice, or bank-statement document. Processing consumes credits; the response reports the actual model and credit cost. The tool never retries with a higher model automatically.
- **Extract Document Data** — Extract schema-constrained structured data from a general, identity, invoice, or bank-statement document. Processing consumes credits and never retries with a higher model automatically.
- **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. Processing consumes credits, returns the actual model and credit cost, and never retries with a higher model automatically.
- **Parse Document** — Convert a general, identity, invoice, or bank-statement document to markdown. Processing consumes credits; returns the actual model and credit cost and never retries with a higher model automatically.
- **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

1. Create or open a Switchy Project.
2. Open Integrations and connect PDF Vector.
3. Authorise through api_key.
4. Teammates can now @-mention PDF Vector tools in chat.

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Last verified: 2026-10-17T02:00:10.360Z  
Canonical URL: https://switchy.build/directory/mcps/pdf-vector