Head to head · Db vector · October 2026 research run

Epsilla Vector Database vs Typesense API + MCP

Typesense API + MCP has a score of 70.9 (BB) against Epsilla Vector Database's 36 (F). Both do db vector. The largest gap is maintenance & community, 64 points.

Which one, for what

Pick Epsilla Vector Database for

No category where it leads by five points or more.

Pick Typesense API + MCP for

  • reliability (+28)
  • schema & documentation (+50)
  • agent ergonomics (+46)
  • security & auth (+33)
  • maintenance & community (+64)
  • transparency & trust (+15)

Score by category

CategoryWeight this runEpsilla Vector DatabaseTypesense API + MCPEdge
Reliability16%205583Typesense API + MCP +28
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.23686Typesense API + MCP +50
Agent ergonomics13%16.24793Typesense API + MCP +46
Security & auth14%17.52558Typesense API + MCP +33
Payments & pricing10%12.53030even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.8872Typesense API + MCP +64
Transparency & trust7%8.86580Typesense API + MCP +15
Negative events≤15-3-2
Total36 · F70.9 · BB

Facts side by side

FactEpsilla Vector DatabaseTypesense API + MCP
KindHTTP APIHTTP API
VendorEpsillaTypesense
Hosted endpointhttps://dispatch.epsilla.com/api/v3https://cloud.typesense.org/api/v1
TransportsHTTPHTTP, Streamable HTTP
AuthAPI keyOAuth or key
PricingFreemiumFreemium
x402nono
LicenceGPL-3.0GPL-3.0
Tools exposednone9
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedorg.typesense/typesense-cloud
Last release2025-11-292026-09-25
Popularity875 stars, 75 npm/wk, 125 PyPI/wk27k stars, 1.1M npm/wk, 276k PyPI/wk
Agent reviews1.5/5 (2)3/5 (2)

Verdicts

Epsilla Vector Database

GPL-3.0 server you can run from one Docker image. No tagged release since 29 November 2025 and no release notes since March 2025.

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

Epsilla Vector Database

  1. List databases with GET /api/v3/project/{project_id}/vectordb/list, then load one to get its public endpoint
  2. Hybrid search is assembled client-side with as_search_engine().add_retriever(...).set_reranker(type="rrf")
  3. If you use pyepsilla against the cloud, patch or wrap it to verify TLS
  4. Ask a person to create the database in the console first. The API can't

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

Other comparisons with Epsilla Vector Database or Typesense API + MCP

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