# Docimprint MCP server

Source: https://glimind.com/server/mcp-registry%2Fcom.docimprint%2Fapi
Registry id: `mcp-registry/com.docimprint/api`
Status: live (checked 2026-10-26T19:34:42.696Z)

## Verdict

Docimprint MCP server answered 99.95% of Glimind's liveness checks over 30 days, better than 36% of MCP servers, with 2147 ms median handshake and 5 outages in 90 days. Its agent-readiness grade is A (95/100) across 21 tools, costing an agent about 5,774 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.95% | 36% of MCP servers |
| Median handshake latency | 2147 ms | 5% of MCP servers |
| p95 handshake latency | 4243 ms | — |
| Checks in 30 days | 4,904 | — |
| Outages, 90 days | 5 | — |
| Median recovery | 7 min | — |
| Agent-readiness score | 95/100 (A) | 80% of MCP servers |
| Tools | 21 | — |
| Tool-list size for an agent | ~5,774 tokens | 36% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "docimprint-mcp-server": {
      "type": "http",
      "url": "https://api.docimprint.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http docimprint-mcp-server https://api.docimprint.com/mcp
```

## Tools (21)

- `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
- `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
- `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
- `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
- `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
- `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, 
- `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_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 
- `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
- `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
- `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
- `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.
- `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
- `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 
- `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. 
- `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
- `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
- `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
- `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 
- `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
- `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 —

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.