api

Name: api
Author: com.docimprint

MCP serverMCP

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

by com.docimprintrepository ↗v1.0.4

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Evidence

Everything here was measured by our prober or read from a registry. Nothing is self-reported.

30-day availability111/112 checks ok

when	check	result	http	latency	detail
4 h ago	mcp initialize	ok	200	993 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
10 h ago	mcp initialize	ok	200	898 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
17 h ago	mcp initialize	ok	200	1025 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
27 h ago	mcp initialize	ok	200	1366 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
2 d ago	mcp initialize	ok	200	812 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
2 d ago	mcp initialize	ok	200	1184 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
2 d ago	mcp initialize	ok	200	1000 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
2 d ago	mcp initialize	ok	200	797 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
3 d ago	mcp initialize	ok	200	761 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools
3 d ago	mcp initialize	ok	200	1359 ms	server DocImprint 1.0.0 · protocol 2025-06-18 · 21 tools

Tools observed via MCP handshake

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 extrac
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,
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
check_claims — Verify a list of factual claims against document text. Uses a quality AI model with citation-level evidence. Use after extract_text or extract_url when you need
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 d
summarize_document — Summarize document text into a prose summary and key points with citations. Use after extract_text or extract_url when you need a condensed understanding of a l
verify_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 —
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
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 m
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 d
extract_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
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. Fo
qa_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.
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
get_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
notarize_bundle — 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 do
verify_action_receipt — Independently verify a signed action receipt (rcpt_...) returned by get_bundle, verify_bundle, notarize_bundle, or add_document_to_collection. Free — no credits
get_job_status — Poll the status of an async job (extract, indexing, batch). Free — no credits consumed. Use after add_document_to_collection or async extract to check when proc
list_collections — List all document collections owned by your API key. Free — no credits consumed. Use before search_collection or ask_collection when you need the collection ID.
add_document_to_collection — Add an evidence bundle to a collection and trigger async vector indexing. Use after create_collection to populate a collection with documents. Once indexed, doc
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, summar

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Official MCP Registrycom.docimprint/api

first seen 2 mo ago · fetched 21 h agoopen ↗

Field history (6 recent events)

2 mo ago · declared · summary → "AI document intelligence: extract, summarize, claim-check, notarize, and signed action receipts."
2 mo ago · declared · description → "AI document intelligence: extract, summarize, claim-check, notarize, and signed action receipts."
2 mo ago · declared · publisherName → "com.docimprint"
2 mo ago · declared · repoUrl → "https://github.com/sawftware-apps/darkroom-gw"
2 mo ago · declared · version → "1.0.4"
2 mo ago · declared · protocols → ["mcp"]

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