Meilisearch
This MCP server for Meilisearch, developed by the Meilisearch team, provides a standardized interface for interacting with Meilisearch's powerful search capabilities. Built with Python and leveraging the official Meilisearch Python client, it offers tools for indexing, searching, and managing documents within Meilisearch instances. The server implements the Model Context Protocol, enabling AI systems to easily perform search operations and retrieve results. By abstracting Meilisearch's API complexities, it allows for seamless integration of advanced search functionality into AI-powered applications. This implementation is particularly valuable for use cases requiring fast, typo-tolerant, and customizable search experiences, such as e-commerce platforms, content management systems, or data exploration tools.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ecommerce
- Source
- PulseMCP
- Repository
- github.com/meilisearch/meilisearch-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Meilisearch from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.