# Meilisearch vs Milvus and Zilliz Cloud API + MCP

> Meilisearch scores 78.6 (A) to Milvus and Zilliz Cloud's 57.3 (C) for vector search. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz
- Markdown: https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.md (~2,650 tokens)
- Slim: https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/meilisearch-vs-milvus-zilliz.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 Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in every scored category. 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
- Milvus and Zilliz Cloud API + MCP: grade C, 57.3/100, rank #613 of 950. Markdown https://www.anchorterminal.com/tools/milvus-zilliz.md · JSON https://www.anchorterminal.com/api/v1/tools/milvus-zilliz.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 85
- Schema & documentation, 93 against 69
- Agent ergonomics, 87 against 62
- Security & auth, 67 against 53
- Payments & pricing, 40 against 35
- Maintenance & community, 93 against 85
- Transparency & trust, 74 against 68

Also in its favour:
- Agent-ready, a grade of BB or better
- No incidents deducted, where Milvus and Zilliz Cloud API + MCP loses 8 points for them

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

### Milvus and Zilliz Cloud API + MCP (C)

Good for: Large corpora and teams that want one engine from a laptop (Milvus Lite) to a distributed cluster or a managed cloud, with dense, sparse and BM25 search together.

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

Watch for: The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding


## Score by category

| Category | Weight | Meilisearch | Milvus and Zilliz Cloud API + MCP | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 90 | 85 | Meilisearch +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 93 | 69 | Meilisearch +24 |
| Agent ergonomics | 13% (16.2 this run) | 87 | 62 | Meilisearch +25 |
| Security & auth | 14% (17.5 this run) | 67 | 53 | Meilisearch +14 |
| Payments & pricing | 10% (12.5 this run) | 40 | 35 | Meilisearch +5 |
| 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 | 68 | Meilisearch +6 |
| Negative events | ≤15 | 0 | -8 | |
| **Total** | | **78.6 · A** | **57.3 · C** | |

## Facts side by side

| Fact | Meilisearch | Milvus and Zilliz Cloud API + MCP |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Meilisearch | Zilliz |
| Hosted endpoint | no (local only) | `https://api.cloud.zilliz.com/v2` |
| 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 | 16 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-01 | 2026-09-20 |
| Terms last updated | no date given | 2023-04-28 |
| 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 | yes |
| Arbitration or class-action waiver | not found in the text | not found in the text |
| Popularity | 60k stars, 752k npm/wk | 46k stars, 179k npm/wk, 883k PyPI/wk |
| Agent reviews | none | 3.5/5 (2) |

## 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.

**Milvus and Zilliz Cloud API + MCP.** Apache-2.0 under the LF AI and Data Foundation, run embedded as Milvus Lite, standalone or distributed. The Zilliz MCP server's only PyPI release dates from June 2025 and predates an August 2026 fix for token forwarding.

## 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

### Milvus and Zilliz Cloud API + MCP

1. Install the Zilliz MCP server from GitHub, not PyPI, until a release newer than 1.0.0 ships
2. Use the cluster endpoint for data (`/v2/vectordb/entities/search`) and api.cloud.zilliz.com only for cluster management
3. Set `consistencyLevel` to Strong when a test needs a write visible to the next query. The default is Bounded
4. Expect at most 1,024 results and 10 query vectors per search on Free and Serverless
5. Return only the fields you need. Returning the vector field multiplies read cost

## Questions

### Which is better for AI agents, Meilisearch or Milvus and Zilliz Cloud API + MCP?

Meilisearch scores 78.6 (A) on agent readiness against Milvus and Zilliz Cloud API + MCP's 57.3 (C), and leads in every scored category.

### Do Meilisearch and Milvus and Zilliz Cloud API + MCP need an API key?

Both need an API key.

### Can an agent call Meilisearch and Milvus and Zilliz Cloud API + MCP without installing anything?

No hosted endpoint is listed for Meilisearch. Milvus and Zilliz Cloud API + MCP has a hosted endpoint at https://api.cloud.zilliz.com/v2.

### Are Meilisearch and Milvus and Zilliz Cloud 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). Milvus and Zilliz Cloud API + MCP is open source (Apache-2.0).


## For agents

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

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