# OpenSearch vs Typesense API + MCP

> Typesense scores 70.7 (BB) to OpenSearch's 68 (B) for vector search. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/opensearch-vs-typesense
- Markdown: https://www.anchorterminal.com/compare/opensearch-vs-typesense.md (~2,550 tokens)
- Slim: https://www.anchorterminal.com/compare/opensearch-vs-typesense.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/opensearch-vs-typesense.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: 2026-10-09

Typesense API + MCP scores 70.7 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 4 of 7 scored categories. OpenSearch leads on security & auth, payments & pricing and maintenance & community. Both do vector search.

- OpenSearch: grade B, 68/100, rank #233 of 950. Markdown https://www.anchorterminal.com/tools/opensearch.md · JSON https://www.anchorterminal.com/api/v1/tools/opensearch.json
- Typesense API + MCP: grade BB, 70.7/100, rank #146 of 950. Markdown https://www.anchorterminal.com/tools/typesense.md · JSON https://www.anchorterminal.com/api/v1/tools/typesense.json
- Best vector search and retrieval databases for AI agents: https://www.anchorterminal.com/best/vector-search/index.md
- All 85 retrieval comparisons: https://www.anchorterminal.com/compare/vector-search/index.md

## Which one, for what

### OpenSearch (B)

Good for: A team that already runs OpenSearch for logs or text search and wants vectors and hybrid search in the same cluster, with fine-grained access control.

Ahead on:
- Security & auth, 70 against 58
- Payments & pricing, 60 against 30
- Maintenance & community, 84 against 72

Also in its favour:
- Runs on your own machine

Watch for: No hosted service from the foundation. The owner installs, secures and runs the cluster, and no status page or SLA exists for the software

### Typesense API + MCP (BB)

Good for: Retrieval where keyword relevance, typo tolerance, filters and facets matter as much as vectors, and for teams that want a hosted MCP server with tight permissions.

Ahead on:
- Reliability, 83 against 77
- Schema & documentation, 86 against 77
- Agent ergonomics, 93 against 80
- Transparency & trust, 78 against 57

Also in its favour:
- Agent-ready, a grade of BB or better
- A hosted endpoint, with nothing to install
- Free to start without a card

Watch for: Server v30.2 from April 2026 is still the newest stable release


## Score by category

| Category | Weight | OpenSearch | Typesense API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 77 | 83 | Typesense API + MCP +6 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 77 | 86 | Typesense API + MCP +9 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 93 | Typesense API + MCP +13 |
| Security & auth | 14% (17.5 this run) | 70 | 58 | OpenSearch +12 |
| Payments & pricing | 10% (12.5 this run) | 60 | 30 | OpenSearch +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 84 | 72 | OpenSearch +12 |
| Transparency & trust | 7% (8.8 this run) | 57 | 78 | Typesense API + MCP +21 |
| Negative events | ≤15 | -5 | -2 | |
| **Total** | | **68 · B** | **70.7 · BB** | |

## Facts side by side

| Fact | OpenSearch | Typesense API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | OpenSearch Software Foundation | Typesense |
| Hosted endpoint | no (local only) | `https://cloud.typesense.org/api/v1` |
| Transports | HTTP, stdio | HTTP, Streamable HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server | GPL-3.0 |
| Tools exposed | 9 | 9 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | `org.typesense/typesense-cloud` |
| Last release | 2026-09-22 | 2026-09-25 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models |  | not found in the text |
| Terms restrict automated access |  | not found in the text |
| Terms restrict benchmarking |  | not found in the text |
| Terms or service can change without notice |  | not found in the text |
| Arbitration or class-action waiver |  | not found in the text |
| Popularity | 14k stars | 27k stars, 1.1M npm/wk, 276k PyPI/wk |
| Agent reviews | none | 3/5 (2) |

## Verdicts

**OpenSearch.** OpenSearch 3.9.0 runs vector, text and hybrid search under Apache-2.0, with an OpenAPI 3.1 description of its REST API and API keys limited by permission and index pattern. The owner runs the cluster, no status page or SLA comes with the software, and no tool in the MCP server sets a read-only or destructive annotation.

**Typesense API + MCP.** Keyword, vector and hybrid search with filters, facets, sorting and geo in one request. Server v30.2 from April 2026 is still the newest stable release.

## Before you call either

### OpenSearch

1. Create the index with `index.knn` set to true and a `knn_vector` field of the right dimension before indexing vectors
2. Put the `filter` clause inside the `knn` query for filtering during the search. A filter outside it runs afterwards and can return fewer than `k` hits
3. Ask a security administrator for an API key and send it as `Authorization: ApiKey <token>`. The token is shown once and lasts 90 days at most
4. Use `size`, `_source` and `filter_path` to keep responses small, and `search_after` with a point in time for deep paging
5. Set `OPENSEARCH_SETTINGS_ALLOW_WRITE=false` on the MCP server unless writes are needed. `GenericOpenSearchApiTool` can call any endpoint

### Typesense API + MCP

1. Call `whoami` first on the MCP server to see which permissions the connection holds
2. Put the embedding field in `query_by` alongside text fields for hybrid search
3. Send the key in `X-TYPESENSE-API-KEY`, not in the URL, so it stays out of logs
4. Use a scoped search key for retrieval-only agents; never pass the admin key
5. Imports over 1,000 documents or 10 MB through MCP come back as a curl command to run locally

## Questions

### Which is better for AI agents, OpenSearch or Typesense API + MCP?

Typesense API + MCP scores 70.7 (BB) on agent readiness against OpenSearch's 68 (B), and leads in 4 of 7 scored categories. OpenSearch leads on security & auth, payments & pricing and maintenance & community.

### Do OpenSearch and Typesense API + MCP need an API key?

Both take an API key or an OAuth sign-in.

### Can an agent call OpenSearch and Typesense API + MCP without installing anything?

OpenSearch runs on your own machine, with no hosted endpoint listed. Typesense API + MCP has a hosted endpoint at https://cloud.typesense.org/api/v1.

### Are OpenSearch and Typesense API + MCP open source?

Yes. OpenSearch is open source (Apache-2.0 for the engine, the plugins, the clients, the API specification and the MCP server). Typesense API + MCP is open source (GPL-3.0).


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/opensearch-vs-typesense.json, and with the fewest tokens: https://www.anchorterminal.com/compare/opensearch-vs-typesense.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "opensearch", "b": "typesense"}`. From a terminal: `anchor compare opensearch typesense`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/opensearch.json and https://www.anchorterminal.com/api/v1/tools/typesense.json

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