Deep Research MCP Guide
pminervini/deep-research-mcp
Explains how to run, integrate and debug the deep-research-mcp project through its CLI, Python API or MCP server, with OpenAI, Gemini and DR-Tulu backends.
Run deep research on any topic using the Deep Research MCP server.
Install Research
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/research .claude/skills/research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "research" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research into .claude/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/research .agents/skills/research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "research" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research into .agents/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/research .cursor/skills/research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "research" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research into .cursor/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git --path .agents/skills/research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/research .gemini/skills/research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "research" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research into .gemini/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/research .github/skills/research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "research" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research into .github/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install iusztinpaul/designing-real-world-ai-agents-workshop research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/research .opencode/skills/research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "research" agent skill from https://github.com/iusztinpaul/designing-real-world-ai-agents-workshop/tree/main/.agents/skills/research into .opencode/skills/research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
research- GitHub stars
- 512
- Token cost
- ~336 tokens
- SKILL.md length
- 127 words
- Files
- 1
- Skills in repo
- 23
- Repo updated
- First seen
- Licence
- MIT
At a glance
Run deep research on any topic using the Deep Research MCP server.
- Works in 3 steps: Load the research_workflow MCP prompt… → Follow the workflow instructions to… → Use outputs/{slug}/ as the working_dir…
- The user wants to research a topic
- SKILL.md covers Working Directory, Execution and After Completion
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Research is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Run deep research on any topic using the Deep Research MCP server. Use this skill whenever the user wants to research a topic, gather information, find sources, or create a research document. Triggers on: 'research this', 'find out about', 'gather information on', 'I need to understand', 'deep dive into', or any request that involves investigating a topic.
Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Deep research and MCP servers. It works with Model Context Protocol. The repository describes itself as: Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video. The licence is MIT.
When your agent uses it
- The user wants to research a topic
- Gather information
- Create a research document
- : research this
Example prompts
- “research this”
- “find out about”
- “gather information on”
- “/research”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Load the research_workflow MCP prompt from the deep-research server.
- Follow the workflow instructions to research the user's topic using the available tools
- Use outputs/{slug}/ as the working_dir for all tool calls.
What it can do on your machine
Read from SKILL.md and the folder at commit ea4f6e9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Research loads about 336 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 127 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from iusztinpaul/designing-real-world-ai-agents-workshop at commit ea4f6e9, republished under its MIT licence (© iusztinpaul). 127 words, ~336 tokens.
Download SKILL.mdSave it as
.claude/skills/research/SKILL.md (or your agent's skills folder).- name
- research
- description
- Run deep research on any topic using the Deep Research MCP server. Use this skill whenever the user wants to research a topic, gather information, find sources, or create a research document. Triggers on: 'research this', 'find out about', 'gather information on', 'I need to understand', 'deep dive into', or any request that involves investigating a topic.
Research
Research a topic using the deep-research MCP server.
Working Directory
All output goes into outputs/{slug}/ relative to the project root. Derive the slug from:
- The dataset seed filename if the user references one (e.g.,
my-topic_seed.md→my-topic) - Otherwise, slugify the topic (lowercase, hyphens, no special chars, max 60 chars)
Create the directory if it doesn't exist.
Execution
- Load the
research_workflowMCP prompt from thedeep-researchserver. - Follow the workflow instructions to research the user's topic using the available tools:
deep_research— for web research queriesanalyze_youtube_video— for any YouTube URLs the user providescompile_research— to produce the final research.md
- Use
outputs/{slug}/as theworking_dirfor all tool calls.
After Completion
Show the user the path to outputs/{slug}/research.md and a brief summary of what was found.
© iusztinpaul, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .agents/skills/research of iusztinpaul/designing-real-world-ai-agents-workshop.
Open the folder on GitHubat commit ea4f6e9
Compare with similar skills
Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Research this skilliusztinpaul/designing-real-world-ai-agents-workshop | 512 | — | ~336 | Automated safety check: Pass | MIT | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 114 | — | ~5.8k | Automated safety check: Pass | MIT | |
| Deep Researchaffaan-m/ECC | 276k | 2 repos | ~590 | Automated safety check: Pass | MIT | |
| Deep Research with Firecrawl and Exaaffaan-m/ECC | 276k | — | ~150 | Automated safety check: Pass | MIT | |
| Exa Neural Search via MCPaffaan-m/ECC | 276k | 4 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Local RAG Searchnkapila6/mcp-local-rag | 134 | 1 repos | ~1.6k | Automated safety check: Pass | MIT |
Similar skills
Deep Research
affaan-m/ECC
使用firecrawl和exa MCPs进行多源深度研究。搜索网络、综合发现并交付带有来源引用的报告。适用于用户希望对任何主题进行有证据和引用的彻底研究时。
Deep Research with Firecrawl and Exa
affaan-m/ECC
Runs multi-source web research through the firecrawl and exa MCP tools and writes a cited report with source attribution.
Exa Neural Search via MCP
affaan-m/ECC
Searches the web, code, companies and people through the Exa MCP server, with notes on setup, the web_search_exa tool and treating results as untrusted data.
Local RAG Search
nkapila6/mcp-local-rag
Efficiently perform web searches using the mcp-local-rag server with semantic similarity ranking.
Advanced Swarm Orchestration
ruvnet/agentic-flow
Patterns for running multi-agent swarms on research, development and testing work, with four topologies and a four-phase research swarm built on claude-flow MCP tools.
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Questions about Research
What does Research do?
Run deep research on any topic using the Deep Research MCP server. Research is an agent skill from iusztinpaul/designing-real-world-ai-agents-workshop. Run deep research on any topic using the Deep Research MCP server.
When should I use Research?
Research fits situations like: the user wants to research a topic; gather information; create a research document; : research this.
How do I install Research in Claude Code?
Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a claude-code`. Or copy the skill folder (.agents/skills/research in iusztinpaul/designing-real-world-ai-agents-workshop) into .claude/skills/research in your project. Claude Code loads it when a task matches its description.
How do I install Research in Codex?
Run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a codex`. Or copy the skill folder (.agents/skills/research in iusztinpaul/designing-real-world-ai-agents-workshop) into .agents/skills/research in your project. Codex loads it when a task matches its description.
Can I use Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add iusztinpaul/designing-real-world-ai-agents-workshop --skill research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/research, .gemini/skills/research, .github/skills/research and .opencode/skills/research in your project.
What does Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Research is instructions for the agent only.
Does Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Research safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Research use?
Research is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Research use?
About 336 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Research?
Skills that share tags, products or a category with Research: Deep Research MCP Guide (pminervini/deep-research-mcp, 114 stars), Deep Research (affaan-m/ECC, 276k stars), Deep Research with Firecrawl and Exa (affaan-m/ECC, 276k stars) and Exa Neural Search via MCP (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Research?
iusztinpaul (a GitHub user) maintains it in iusztinpaul/designing-real-world-ai-agents-workshop, which has 512 GitHub stars. The repository holds 23 skills in this directory. The repository was last updated on June 3, 2026.
Source: iusztinpaul/designing-real-world-ai-agents-workshop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.