pulsemcp Safe content atomic mcp-remote

Typesense

Typesense MCP Server provides a bridge between AI assistants and Typesense search engine through a Python implementation using the Model Context Protocol. The server exposes tools for managing collections, documents, and search operations, including vector similarity search capabilities. Built with robust error handling and comprehensive logging, it enables AI assistants to perform operations like creating collections, indexing documents, and executing both keyword and vector searches. The implementation uses environment variables for configuration and can be easily deployed through Cursor, making it valuable for developers who want to integrate powerful search functionality into their AI workflows.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/avarant/typesense-mcp-server
Author type: human
Updated: 2026-05-04

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MCP

Resolve Typesense 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"