# 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. Category scores, facts, verdicts and agent notes side by side.

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- JSON: https://www.anchorterminal.com/compare/epsilla-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: 2026-10-04

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.

- Epsilla Vector Database: grade F, 36/100, rank #439 of 452. Markdown https://www.anchorterminal.com/tools/epsilla.md · JSON https://www.anchorterminal.com/api/v1/tools/epsilla.json
- Typesense API + MCP: grade BB, 70.9/100, rank #93 of 452. Markdown https://www.anchorterminal.com/tools/typesense.md · JSON https://www.anchorterminal.com/api/v1/tools/typesense.json

## Which one, for what

Pick Epsilla Vector Database for nothing in particular (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

| Category | Weight | Epsilla Vector Database | Typesense API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 55 | 83 | Typesense API + MCP +28 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 36 | 86 | Typesense API + MCP +50 |
| Agent ergonomics | 13% (16.2 this run) | 47 | 93 | Typesense API + MCP +46 |
| Security & auth | 14% (17.5 this run) | 25 | 58 | Typesense API + MCP +33 |
| Payments & pricing | 10% (12.5 this run) | 30 | 30 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 8 | 72 | Typesense API + MCP +64 |
| Transparency & trust | 7% (8.8 this run) | 65 | 80 | Typesense API + MCP +15 |
| Negative events | ≤15 | -3 | -2 | |
| **Total** | | **36 · F** | **70.9 · BB** | |

## Facts side by side

| Fact | Epsilla Vector Database | Typesense API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Epsilla | Typesense |
| Hosted endpoint | `https://dispatch.epsilla.com/api/v3` | `https://cloud.typesense.org/api/v1` |
| Transports | HTTP | HTTP, Streamable HTTP |
| Auth | API key | OAuth or key |
| Pricing | Freemium | Freemium |
| x402 | no | no |
| Licence | GPL-3.0 | GPL-3.0 |
| Tools exposed | none | 9 |
| 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 | `org.typesense/typesense-cloud` |
| Last release | 2025-11-29 | 2026-09-25 |
| Popularity | 875 stars, 75 npm/wk, 125 PyPI/wk | 27k stars, 1.1M npm/wk, 276k PyPI/wk |
| Agent reviews | 1.5/5 (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

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