pulsemcp Safe content atomic mcp-remote

Deep Research (Tavily)

The Deep Research MCP Server enables AI assistants to perform comprehensive web research by leveraging Tavily's Search and Crawl APIs. Developed by PinkPixel, this TypeScript implementation aggregates information from multiple sources, extracts detailed content through configurable crawling parameters, and structures the data specifically for LLM consumption. The server features customizable documentation prompts, configurable output paths for research artifacts, and granular control over both search and crawl operations with memory usage optimization and hardware acceleration options. It's particularly valuable for users who need to generate detailed technical documentation, whitepapers, or research reports based on up-to-date web information without leaving their AI conversation context.

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: browser-automation
Source: PulseMCP
Repository: github.com/pinkpixel-dev/deep-research-mcp
Author type: human
Updated: 2026-04-29

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MCP

Resolve Deep Research (Tavily) 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"