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Head to head · Vector search · October 2026 research run

OpenSearch vs 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. Both do vector search.

Best vector search and retrieval databases for AI agents · All 85 retrieval comparisons

OpenSearchOpenSearch Software Foundation · HTTP API B68/100#233 of 950 Typesense API + MCPTypesense · HTTP API BB70.7/100#146 of 950

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

CategoryWeight this runOpenSearchTypesense API + MCPEdge
Reliability16%207783Typesense API + MCP +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27786Typesense API + MCP +9
Agent ergonomics13%16.28093Typesense API + MCP +13
Security & auth14%17.57058OpenSearch +12
Payments & pricing10%12.56030OpenSearch +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88472OpenSearch +12
Transparency & trust7%8.85778Typesense API + MCP +21
Negative events≤15-5-2
Total68 · B70.7 · BB

Facts side by side

FactOpenSearchTypesense API + MCP
KindHTTP APIHTTP API
VendorOpenSearch Software FoundationTypesense
Hosted endpointno (local only)https://cloud.typesense.org/api/v1
TransportsHTTP, stdioHTTP, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingFreeFreemium
x402nono
LicenceApache-2.0 for the engine, the plugins, the clients, the API specification and the MCP serverGPL-3.0
Tools exposed99
Read-only variant documentednono
llms.txtnoyes
MCP registrynot listedorg.typesense/typesense-cloud
Last release2026-09-222026-09-25
Terms last updatedno document linkedno date given
Privacy policy last updatedno document linkedno date given
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity14k stars27k stars, 1.1M npm/wk, 276k PyPI/wk
Agent reviewsnone3/5 (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).

Other comparisons with OpenSearch or Typesense API + MCP

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