# api MCP server

AI document intelligence: extract, summarize, claim-check, notarize, and signed action receipts.

## Links
- Registry page: https://www.getdrio.com/mcp/com-docimprint-api
- Repository: https://github.com/sawftware-apps/darkroom-gw

## Install
- Endpoint: https://api.docimprint.com/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: Authorization (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://api.docimprint.com/mcp
- Header: Authorization

## Tools
- document.extract_text (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." Endpoint: https://api.docimprint.com/mcp
- document.extract_tables (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." Endpoint: https://api.docimprint.com/mcp
- document.parse_invoice (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." Endpoint: https://api.docimprint.com/mcp
- document.check_claims (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%?" Endpoint: https://api.docimprint.com/mcp
- document.extract_structured (Extract Structured Data) - 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." Endpoint: https://api.docimprint.com/mcp
- document.summarize (Summarize Document) - 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." Endpoint: https://api.docimprint.com/mcp
- bundle.verify (Verify Evidence Bundle) - 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." Endpoint: https://api.docimprint.com/mcp
- collection.create (Create Collection) - 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." Endpoint: https://api.docimprint.com/mcp
- collection.search (Search Collection) - 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." Endpoint: https://api.docimprint.com/mcp
- collection.ask (Ask Collection) - 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." Endpoint: https://api.docimprint.com/mcp
- url.extract (Extract Text from URL) - 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." Endpoint: https://api.docimprint.com/mcp
- url.summarize (Summarize URL) - 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]." Endpoint: https://api.docimprint.com/mcp
- url.qa (Ask a Question About a URL) - 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]." Endpoint: https://api.docimprint.com/mcp
- url.translate (Translate URL) - 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." Endpoint: https://api.docimprint.com/mcp
- bundle.get (Get Evidence Bundle) - 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?" Endpoint: https://api.docimprint.com/mcp
- bundle.notarize (Notarize Bundle On-Chain) - 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." Endpoint: https://api.docimprint.com/mcp
- receipt.verify (Verify Action Receipt) - 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?" Endpoint: https://api.docimprint.com/mcp
- receipt.list (List Action Receipts) - 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." Endpoint: https://api.docimprint.com/mcp
- job.status (Get 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?" Endpoint: https://api.docimprint.com/mcp
- collection.list (List Collections) - 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." Endpoint: https://api.docimprint.com/mcp
- collection.add_document (Add Document to Collection) - 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." Endpoint: https://api.docimprint.com/mcp
- account.quota (Get 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?" Endpoint: https://api.docimprint.com/mcp

## Resources
Not captured

## Prompts
- claim_check_workflow - Workflow: extract URL text, then verify claims with citations. Arguments: url, claims
- invoice_intake - Workflow: parse an invoice document and extract structured fields. Arguments: document_hint

## Metadata
- Owner: com.docimprint
- Version: 1.0.4
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jul 21, 2026
- Source: https://registry.modelcontextprotocol.io