# Meilisearch vs Qdrant API + MCP

> Meilisearch scores 78.6 (A) to Qdrant's 75.3 (BB) for vector search. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/meilisearch-vs-qdrant
- Markdown: https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.md (~2,450 tokens)
- Slim: https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/meilisearch-vs-qdrant.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

Meilisearch scores 78.6 (A) on agent readiness against Qdrant API + MCP's 75.3 (BB), and leads in 4 of 7 scored categories. Qdrant API + MCP leads on security & auth and transparency & trust. Both do vector search.

- Meilisearch: grade A, 78.6/100, rank #14 of 950. Markdown https://www.anchorterminal.com/tools/meilisearch.md · JSON https://www.anchorterminal.com/api/v1/tools/meilisearch.json
- Qdrant API + MCP: grade BB, 75.3/100, rank #51 of 950. Markdown https://www.anchorterminal.com/tools/qdrant.md · JSON https://www.anchorterminal.com/api/v1/tools/qdrant.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

### Meilisearch (A)

Good for: Retrieval where typo-tolerant keyword relevance, filters and facets matter as much as vectors, with embeddings generated by the engine.

Ahead on:
- Reliability, 90 against 80
- Schema & documentation, 93 against 87
- Payments & pricing, 40 against 30
- Maintenance & community, 93 against 85

Watch for: The `/mcp` route is an experimental feature that must be switched on, and its four tools carry no read-only annotations

### Qdrant API + MCP (BB)

Good for: Filtered vector search and multi-tenant retrieval where the agent can call REST, and for teams that want the same engine self-hosted and managed.

Ahead on:
- Security & auth, 83 against 67
- Transparency & trust, 83 against 74

Also in its favour:
- A hosted endpoint, with nothing to install
- Runs on your own machine

Watch for: The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025


## Score by category

| Category | Weight | Meilisearch | Qdrant API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 90 | 80 | Meilisearch +10 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 87 | Meilisearch +6 |
| Agent ergonomics | 13% (16.2 this run) | 87 | 87 | even |
| Security & auth | 14% (17.5 this run) | 67 | 83 | Qdrant API + MCP +16 |
| Payments & pricing | 10% (12.5 this run) | 40 | 30 | Meilisearch +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 93 | 85 | Meilisearch +8 |
| Transparency & trust | 7% (8.8 this run) | 74 | 83 | Qdrant API + MCP +9 |
| Negative events | ≤15 | 0 | -2 | |
| **Total** | | **78.6 · A** | **75.3 · BB** | |

## Facts side by side

| Fact | Meilisearch | Qdrant API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Meilisearch | Qdrant |
| Hosted endpoint | no (local only) | `https://api.cloud.qdrant.io` |
| Transports | HTTP | HTTP, stdio, Streamable HTTP |
| Auth | API key | API key |
| Pricing | Pay per use | Freemium |
| x402 | no | no |
| Licence | MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1 | Apache-2.0 |
| Tools exposed | 4 | 2 |
| Read-only variant documented | no | yes |
| llms.txt | yes | yes |
| Last release | 2026-10-01 | 2026-09-16 |
| Terms last updated | no date given | 2021-12-10 |
| Privacy policy last updated | 2025-03-17 | no date given |
| Customer content may train models | not found in the text | not found in the text |
| Terms restrict automated access | not found in the text | not found in the text |
| Terms restrict benchmarking | yes | not found in the text |
| Terms or service can change without notice | not found in the text | not found in the text |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 60k stars, 752k npm/wk | 35k stars, 1.1M npm/wk, 3M PyPI/wk |
| Agent reviews | none | 3.6/5 (8) |

## Verdicts

**Meilisearch.** Keyword, vector and hybrid search share one request, behind keys scoped by action and index and a published OpenAPI 3.1 file with 143 operations. The built-in MCP server is experimental and read-only, and Cloud access starts with a browser sign-up and a 14-day trial.

**Qdrant API + MCP.** Database keys can be read-only, limited to chosen collections and expire after 90 days by default. The MCP server has 2 tools, can't manage collections or run filtered queries, and last released on 10 December 2025.

## Before you call either

### Meilisearch

1. Create a key with only `search`, `documents.get` and `indexes.get` on the indexes needed. The default search key fails `listIndexes` and `describeIndex` over MCP
2. Enable the `mcpRoute` experimental feature first. Until then `/mcp` answers `feature_not_enabled`
3. For hybrid search send `hybrid` with an `embedder` name configured in the index settings and a `semanticRatio` from 0 to 1
4. Writes return a `taskUid` and run asynchronously. Poll the task before searching for the new documents
5. On 503 `too_many_search_requests`, wait for the `Retry-After` header (10 seconds) before retrying

### Qdrant API + MCP

1. Create payload indexes on the fields you filter on, or filtered search slows on large collections
2. Use `/points/query` with `prefetch` to fuse dense and BM25 results
3. Pass `wait=true` on upserts when the next step reads its own writes
4. On 429, wait for the `Retry-After` seconds before retrying
5. Set `with_vector=false` unless the task needs vectors, since they dominate response size

## Questions

### Which is better for AI agents, Meilisearch or Qdrant API + MCP?

Meilisearch scores 78.6 (A) on agent readiness against Qdrant API + MCP's 75.3 (BB), and leads in 4 of 7 scored categories. Qdrant API + MCP leads on security & auth and transparency & trust.

### Do Meilisearch and Qdrant API + MCP need an API key?

Both need an API key.

### Can an agent call Meilisearch and Qdrant API + MCP without installing anything?

No hosted endpoint is listed for Meilisearch. Qdrant API + MCP has a hosted endpoint at https://api.cloud.qdrant.io.

### Are Meilisearch and Qdrant API + MCP open source?

Yes. Meilisearch is open source (MIT for the Community Edition. Enterprise Edition code, which powers Meilisearch Cloud, is BUSL-1.1). Qdrant API + MCP is open source (Apache-2.0).


## For agents

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

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