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Deep Research

This MCP server implementation provides an AI-powered research assistant for conducting iterative, deep research on any topic. Developed by ssdeanx, it combines search engines, web scraping, and Gemini large language models to perform comprehensive literature reviews, generate insights, and produce detailed reports. The server is built using TypeScript and integrates with Firecrawl for web data extraction and Gemini for advanced language understanding. It offers configurable depth and breadth parameters for research exploration, concurrent processing for efficiency, and outputs structured Markdown reports with source citations. The implementation is designed as a lightweight, extensible foundation (<500 LoC) for building more sophisticated AI-driven research tools, making it particularly useful for applications requiring automated literature analysis, hypothesis generation, or knowledge synthesis across various domains.

Cognium trust score

64%

Tier

Scanned

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 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: browser-automation
Source: PulseMCP
Repository: github.com/ssdeanx/deep-research-mcp-server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve Deep Research 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"