DocImprint
About
Verifiable document intelligence for AI agents. Extract, summarize, translate, claim-check, and notarize PDFs & URLs. Evidence bundles with cryptographic proofs and on-chain attestation. 20 MCP tools.
Details
- Author
- sawftware-labs
- Downloads
- 286
- Categories
- Other, Security
Jump to
- Extract markdown, tables, structured data, and invoices
- AI summaries and Q&A with inline citations
- Claim-check factual statements against source documents
- Cross-document semantic search and Q&A via collections
- On-chain attestation on Base L2 (EAS)
- Native MCP server for Claude, GPT, and other clients
- Pay-per-call with USDC (x402), no account required
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
DocImprintCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install the npm package docimprint, instantiate a DocImprintClient with an API key from docimprint.com, then call methods like extract, verify, notarize, or use the MCP server at https://api.docimprint.com/mcp with streamable-http transport and Bearer token authentication.
document.extract_text
Extract plain text from a PDF or image (base64-encoded). Use when you need raw text for downstream AI analysis (summarization, claim checking, structured extraction). For documents at a public URL, use url.extract instead (no base64 encoding needed). Returns: { pages: number, text: string } Example prompts: - "Extract the text from this scanned contract so I can search it." - "Give me the raw text from this PDF document." - "OCR this image and return the text content."
document.extract_tables
Extract tables and forms as Markdown from a PDF or image (base64-encoded). Use when the document contains structured tabular data such as financial statements, data sheets, or forms. For plain prose documents, use document.extract_text instead. Returns: { pages: number, text: string } — text contains Markdown-formatted tables. Example prompts: - "Extract the tables from this financial statement." - "Pull the data table from this PDF into Markdown format." - "Get the tabular data from this form document."
document.parse_invoice
Parse a receipt or invoice document into structured fields. Uses a quality AI model for accuracy. Use when you need to extract line items, totals, and merchant info from financial documents. For general document text, use document.extract_text instead. Returns: { invoice: { merchant, date (YYYY-MM-DD), line_items[], subtotal, tax, total }, cited: { <field>: { value, confidence: "high"|"medium"|"low", citations: [{ quote, paragraphs[] }] } } } Example prompts: - "Parse this invoice and give me the line items and total." - "Extract the merchant, date, and amounts from this receipt." - "Read this scanned invoice and return structured data."
document.check_claims
Verify a list of factual claims against document text. Uses a quality AI model with citation-level evidence. Use after document.extract_text or url.extract when you need to validate specific factual assertions. For open-ended questions about a document, use url.qa instead. For multi-document investigation, use collection.ask. Typical workflow: document.extract_text/url.extract → document.check_claims. Returns: { claims: [{ claim, status: "supported"|"contradicted"|"not_found", evidence: { quote, paragraphs[] }, confidence: "high"|"medium"|"low" }], truncated: boolean } Example prompts: - "Check whether this contract mentions a liability cap of $1M." - "Verify these claims against the document: [claims list]." - "Does the report actually say revenue grew 23%?"
document.extract_structured
Extract typed fields from document text using a caller-defined schema. Uses a quality AI model with retry logic. Use when you need specific data points from a document rather than full text. For invoices with known fields, document.parse_invoice (prebuilt schema) may be simpler. For general summarization, use document.summarize instead. Schema format: { "field_name": "type hint or description" } — e.g. { "contract_date": "ISO date", "party_a": "string", "penalty_usd": "number" }. Returns: { data: { <field>: value }, data_cited: { <field>: { value, confidence: "high"|"medium"|"low", citations: [{ quote, paragraphs[] }] } } } Example prompts: - "Extract the contract date, parties, and penalty amount from this agreement." - "Pull the vendor name, PO number, and total from this document." - "Get me all named fields from this form using my custom schema."
document.summarize
Summarize document text into a prose summary and key points with citations. Use after document.extract_text or url.extract when you need a condensed understanding of a long document. For single-sentence Q&A, use url.qa instead. For extracting specific fields, use document.extract_structured. Typical workflow: document.extract_text/url.extract → document.summarize. Returns: { summary: string, key_points: string[], summary_cited: { value, confidence, citations[] }, key_points_cited: [{ text, citations[] }], truncated: boolean, strategy: "full"|"truncated"|"chunked" } Example prompts: - "Summarize this financial report and give me the key points." - "What are the main takeaways from this document?" - "Give me a concise summary of this 50-page report."
bundle.verify
Verify the cryptographic integrity of an evidence bundle (ev_...) owned by your API key. Checks manifest hash, EIP-191 signature, and R2 artifact hashes. Free — no credits consumed. Use when you need to confirm a bundle has not been tampered with. For quick metadata lookups (without full crypto verification), use bundle.get instead. Also returns a signed action receipt (rcpt_...) binding this verify call to the bundle manifest — list with receipt.list, verify with receipt.verify. Returns: { valid: boolean, bundle_id, manifest_sha256, checks: { status, manifest_hash, signature, artifacts: [{ name, ok }] }, tampered: string[], signer_address: string|null, attestation_tx: string|null, url: string, captured_at: string, receipt: ActionReceipt|null } Example prompts: - "Verify the cryptographic integrity of bundle ev_550e8400." - "Is this evidence bundle still valid and untampered?" - "Deep-check the manifest hash and signature of my bundle."
collection.create
Create a named document collection for cross-document semantic search and RAG-based Q&A. Free — no credits consumed. Use when you want to group related evidence bundles for unified search (collection.search) or question answering (collection.ask). NOTE: Collections start empty. Add evidence bundles with collection.add_document. Indexing is async — once complete, use collection.search or collection.ask. Returns: { collection_id: string (col_...), name: string } Example prompts: - "Create a collection called Q4 Contracts for my quarterly reports." - "Set up a new document group named Due Diligence Docs." - "Make a collection to organize my vendor agreements."
collection.search
Semantic (vector) search across documents in a collection. Returns ranked text chunks with relevance scores. Free — no credits consumed. Use when you need raw matching chunks from a collection. For a synthesized cited answer from the same context, use collection.ask instead. PREREQUISITE: Collection must be populated via collection.add_document and async indexing must complete (poll job.status) before results appear. Returns: { results: [{ bundle_id, chunk_id, text, score: number (0–1), title? }] } Example prompts: - "Search my Q4 Contracts collection for mentions of liability cap." - "Find the clause about data retention in my due diligence docs." - "Search for revenue numbers across my quarterly reports."
collection.ask
Answer a question using RAG over a document collection. Retrieves relevant chunks then synthesizes a cited answer with source attribution. Use when you need a direct answer grounded in your collection documents. For raw matching chunks (without synthesis), use collection.search instead. For single-document Q&A, use url.qa instead. PREREQUISITE: Collection must be populated via collection.add_document and indexed before results appear. Returns: { answer: string, sources: [{ bundle_id, chunk_id }], retrieval: [{ bundle_id, chunk_id, text, score }] } Example prompts: - "What are the key terms of the service agreement in my collection?" - "Based on my due diligence docs, what are the main risks?" - "Answer this question using all documents in the Q4 Contracts collection."
url.extract
Fetch a public HTTPS URL and return extracted text and page metadata. Lean mode — no evidence bundle stored, no bundle_id returned. Use for raw text extraction from web pages and online documents. Use url.summarize for summaries, url.qa for Q&A, url.translate for translation, document.extract_text for base64 file uploads. Returns: { url, title, word_count, text, final_url (after redirects) } Example prompts: - "Extract the text from https://example.com/report.pdf for me." - "Get me the raw content of this web page: [URL]." - "Pull the text from this online article so I can analyze it."
url.summarize
Fetch a public HTTPS URL and return a prose summary with key points. Lean mode — no bundle stored. Use when you need a condensed understanding of a web page. For raw text, use url.extract. For asking a specific question about a page, use url.qa. Returns: { url, summary, key_points: string[], truncated: boolean, word_count } Example prompts: - "Summarize https://en.wikipedia.org/wiki/Artificial_intelligence for me." - "Give me the key points from this blog post: [URL]." - "What is this article about? Summarize [URL]."
url.qa
Fetch a public HTTPS URL and answer a specific question about its content. Lean mode — no bundle stored. Use when you have a precise question about a web page. For a broad summary, use url.summarize. For multi-document Q&A, use collection.ask instead. Returns: { url, answer, answer_cited: { value, confidence, citations[] }, confidence: "high"|"medium"|"low", truncated } Example prompts: - "What is the refund policy at https://docs.example.com/policy?" - "Look at [URL] and tell me what the delivery terms are." - "Answer this question based on the content of [URL]: [question]."
url.translate
Fetch a public HTTPS URL and return its content translated into a target language. Lean mode — no bundle stored. Use when you need to understand web content in a different language. For extracting raw untranslated text, use url.extract instead. Returns: { url, translated_text, target_lang, truncated } Example prompts: - "Translate https://example.de/artikel into English for me." - "Translate this German article into Spanish: [URL]." - "Fetch [URL] and give me the French translation."
bundle.get
Retrieve metadata for an evidence bundle (ev_...) owned by your API key. Free — no credits consumed. Use for quick status/metadata lookups such as checking if a bundle is complete, finding its notarization status, or viewing retention/legal hold info. For deep cryptographic integrity verification (hash + signature + artifact checks), use bundle.verify instead. Also returns a signed action receipt (rcpt_...) binding this lookup to the bundle manifest — list with receipt.list, verify with receipt.verify. Returns: { bundle_id, source_url, mode, status: "pending"|"complete"|"failed", manifest_sha256, manifest_signature, signer_address, attestation_tx, attestation_at, eas_uid, parent_bundle_id, superseded_by, legal_hold: boolean, retention_until, created_at, receipt: ActionReceipt|null } Example prompts: - "Show me the metadata for bundle ev_550e8400." - "Check the status and notarization info of my evidence bundle." - "Get me the details of bundle [ev_id] — is it complete?"
bundle.notarize
Notarize an evidence bundle on-chain by writing its manifest SHA-256 to the blockchain (Base/EVM). Creates a permanent, tamper-evident on-chain record of the document fingerprint. If the bundle is already notarized, returns the existing attestation immediately (idempotent). Use when you need an immutable on-chain timestamp proving a document existed at a point in time. For quick integrity checks without on-chain cost, use bundle.verify instead. Also returns a signed action receipt (rcpt_...) binding this notarize call to the bundle manifest — list with receipt.list, verify with receipt.verify. PREREQUISITE: Bundle status must be "complete". Check status with bundle.get first. NOTE: Costs gas (ETH). The on-chain record is permanent and cannot be deleted even if the bundle is later purged. Returns: { bundle_id, attestation: { tx_hash, network, attested_at, key_id, eas_uid?, schema_uid? }, receipt: ActionReceipt|null } Example prompts: - "Notarize bundle ev_550e8400 on-chain so I have a permanent record." - "Put the fingerprint of my evidence bundle on the blockchain." - "Create an on-chain timestamp for this document bundle."
receipt.verify
Independently verify a signed action receipt (rcpt_...) returned by bundle.get, bundle.verify, bundle.notarize, collection.add_document, or listed via receipt.list. Free — no credits consumed. Proves both that the receipt signature is authentic AND that the manifest_sha256 it was bound to still matches the bundle's current manifest — i.e. that the action was not performed against a stale or since-superseded document. Use for third-party audit of an agent's prior actions. Returns: { receipt_id, valid: boolean, signature_valid: boolean, manifest_matches_current: boolean, bundle_id, agent_id, action, manifest_sha256, signer_address, signed_at, tampered: string[] } Example prompts: - "Verify action receipt rcpt_550e8400 is authentic and still current." - "Was this receipt signed against the real document, or a stale copy?"
receipt.list
List signed action receipts (rcpt_...) for an evidence bundle owned by your API key. Free — no credits consumed. Use after bundle.get, bundle.verify, bundle.notarize, or collection.add_document to audit which agent actions were bound to which manifest hash. Pass a receipt_id from the results to receipt.verify for independent signature + manifest-binding verification. Returns: { bundle_id, receipts: [{ receipt_id, bundle_id, agent_id, action, manifest_sha256, signed_at, signature, signer_address, key_id, algorithm }], limit, offset } Example prompts: - "List all signed action receipts for bundle ev_550e8400." - "What agent actions have been recorded against this evidence bundle?" - "Show me the receipts for [bundle_id] so I can verify one."
job.status
Poll the status of an async job (extract, indexing, batch). Free — no credits consumed. Use after collection.add_document or async extract to check when processing completes. Poll this endpoint in a loop until status is "complete" or "failed". Completed jobs include the bundle_id or result_json in the response. Jobs are created when you POST /v1/extract with a webhook, or when collection.add_document triggers async indexing. Returns: { id, type: "extract"|"extract_batch"|"index_collection", status: "queued"|"processing"|"complete"|"failed"|"cancelled", progress_pct: number (0–100), progress_message, bundle_id (when complete), result_json (when complete), error (when failed), created_at, completed_at } Example prompts: - "Check the status of my indexing job job_550e8400." - "Is my async extract job done yet?" - "Poll job [job_id] — what is the current progress?"
collection.list
List all document collections owned by your API key. Free — no credits consumed. Use before collection.search or collection.ask when you need the collection ID. Supports pagination with limit and offset. Returns: { collections: [{ id, name, created_at }] } Example prompts: - "List all my document collections." - "Show me the collections I have created." - "What collections do I own? List them."
collection.add_document
Add an evidence bundle to a collection and trigger async vector indexing. Use after collection.create to populate a collection with documents. Once indexed, documents become searchable via collection.search and collection.ask. Indexing is async — poll job.status with the returned job_id until status is "complete". Also returns a signed action receipt (rcpt_...) binding this add call to the bundle manifest — list with receipt.list, verify with receipt.verify. PREREQUISITE: Bundle must have status "complete" (check with bundle.get). Collection must be owned by your API key. Returns: { collection_id, bundle_id, job_id (poll for indexing completion), receipt: ActionReceipt|null } Example prompts: - "Add my contract bundle ev_550e8400 to the Q4 Contracts collection." - "Put this evidence bundle into my Due Diligence Docs collection for search." - "Add document [bundle_id] to collection [col_id] with a title."
account.quota
Get current credit balance and plan details for your API key. Free — no credits consumed. Check this before running credit-consuming operations (extract, summarize, etc.) to avoid QUOTA_EXCEEDED errors. Returns plan tier, billing period, and usage breakdown. Returns: { plan_id, billing_period (YYYY-MM), credits_used, credits_limit, credits_remaining, status: "active"|"suspended" } Example prompts: - "How many credits do I have left this month?" - "Check my current quota and plan status." - "Am I going to hit my credit limit soon?"
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"docimprint": {
"docimprint": {
"url": "https://api.docimprint.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_DOCIMPRINT_API_KEY>"
}
}
}
}
}McpServers
{
"docimprint": {
"url": "https://api.docimprint.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_DOCIMPRINT_API_KEY>"
}
}
}What is DocImprint?
DocImprint turns any PDF or URL into a tamper-evident evidence bundle — structured data, AI-cited answers, and a cryptographic proof your agents can verify independently.
| Feature | Description |
|---------|-------------|
| Extract | Markdown, tables, structured data, invoice parsing |
| Summarize & Q&A | AI answers with inline citations and confidence scores |
| Claim-check | Verify factual claims against the source document |
| Collections | Cross-document semantic search and Q&A |
| Notarize | On-chain attestation via Base L2 (EAS) |
| MCP server | Native tool support for Claude, GPT, and any MCP client |
| x402 payments | Pay per call with USDC — no account required |
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