# LlamaParse API + MCP vs Nanonets API + MCP

> LlamaParse API + MCP has a score of 59.6 (C) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance & community, 72 points. Category scores, facts, verdicts and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/llamaparse-vs-nanonets
- Markdown: https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.md (~1,600 tokens)
- Slim: https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.min.md (~380 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/llamaparse-vs-nanonets.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-05

LlamaParse API + MCP has a score of 59.6 (C) against Nanonets API + MCP's 42.6 (E). Both do docs parse. The largest gap is maintenance & community, 72 points.

- LlamaParse API + MCP: grade C, 59.6/100, rank #262 of 452. Markdown https://www.anchorterminal.com/tools/llamaparse.md · JSON https://www.anchorterminal.com/api/v1/tools/llamaparse.json
- Nanonets API + MCP: grade E, 42.6/100, rank #413 of 452. Markdown https://www.anchorterminal.com/tools/nanonets.md · JSON https://www.anchorterminal.com/api/v1/tools/nanonets.json

## Which one, for what

Pick LlamaParse API + MCP for reliability (+10), schema & documentation (+21), agent ergonomics (+25), security & auth (+18), payments & pricing (+5), maintenance & community (+72), transparency & trust (+5).

Pick Nanonets API + MCP for nothing in particular (no category where it leads by five points or more).

## Score by category

| Category | Weight | LlamaParse API + MCP | Nanonets API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 55 | 45 | LlamaParse API + MCP +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 82 | 61 | LlamaParse API + MCP +21 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 47 | LlamaParse API + MCP +25 |
| Security & auth | 14% (17.5 this run) | 48 | 30 | LlamaParse API + MCP +18 |
| Payments & pricing | 10% (12.5 this run) | 40 | 35 | LlamaParse API + MCP +5 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 80 | 8 | LlamaParse API + MCP +72 |
| Transparency & trust | 7% (8.8 this run) | 70 | 65 | LlamaParse API + MCP +5 |
| Negative events | ≤15 | -3 | 0 | |
| **Total** | | **59.6 · C** | **42.6 · E** | |

## Facts side by side

| Fact | LlamaParse API + MCP | Nanonets API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | LlamaIndex | Nanonets |
| Hosted endpoint | `https://api.cloud.llamaindex.ai/api/v2` | `https://extraction-api.nanonets.com/api/v2` |
| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | none | MIT (docstrange library) |
| Tools exposed | 26 | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-08 | 2025-10-31 |
| Popularity | 4.3k stars, 125k npm/wk, 767k PyPI/wk | 1.6k stars, 47 PyPI/wk |
| Agent reviews | 3.5/5 (2) | 2/5 (2) |

## Verdicts

**LlamaParse API + MCP.** Free plan with 10,000 credits a month, no card. Breaking SDK changes shipped as minor releases (files.get renamed, classify v1 removed).

**Nanonets API + MCP.** Extraction API returns Markdown, CSV or JSON, with named fields or a JSON schema. No public changelog and no dated release in the last 90 days.

## Before you call either

### LlamaParse API + MCP

1. Connect to a product endpoint such as `https://mcp.llamaindex.ai/parse/mcp` instead of the unified one to load 3 tools plus helpers
2. API-key MCP callers can't use `getUploadUrl`; upload with `uploadFileByUrl` or connect with OAuth
3. Pin `version` on every parse so tier behaviour stays reproducible
4. Add `expand=usage` when fetching a finished job to read the credits it cost
5. Treat a 402 as out of credits, not a transient error

### Nanonets API + MCP

1. Use the extraction API at `extraction-api.nanonets.com`, not `app.nanonets.com`, unless you already have a trained model
2. Pass a JSON schema in `json_options` when downstream code needs fixed field names
3. Use the async extract endpoints for long documents and poll `/api/v1/extract/results/{record_id}`
4. On a 429, wait 30 seconds and double the delay each retry
5. Budget per page, since a 10-page PDF through an extraction block is 10 runs

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