hyperresearchCAUTION
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
The Most Powerful Deep Research Harness: a deep research skill for Claude Code and OpenAI Codex
Hyperresearch turns Claude Code into a deep research agent, and it's #1 on the DRACO deep research benchmark, ahead of Claude Research, ChatGPT, Gemini and Perplexity. It runs in OpenAI Codex too. A tier-adaptive 16-step pipeline takes one prompt and produces an adversarially-audited report with full source provenance. Every source it reads lands in a persistent, searchable vault, so each session starts smarter than the last.
c793941599fbOBSERVED · 2026-10-10Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control. Replace the environment placeholders with a token scoped to the least it needs.
claude mcp add hyperresearch --env EXA_API_KEY=${EXA_API_KEY} --env OPENAI_API_KEY=${OPENAI_API_KEY} --env SERPLY_API_KEY=${SERPLY_API_KEY} --env TAVILY_API_KEY=${TAVILY_API_KEY} -- uvx hyperresearch{
"mcpServers": {
"hyperresearch": {
"command": "uvx",
"args": [
"hyperresearch"
],
"env": {
"EXA_API_KEY": "${EXA_API_KEY}",
"OPENAI_API_KEY": "${OPENAI_API_KEY}",
"SERPLY_API_KEY": "${SERPLY_API_KEY}",
"TAVILY_API_KEY": "${TAVILY_API_KEY}"
}
}
}
}Exposed tools (13)
9 read · 4 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
check_source | read | Check if a URL has already been fetched into the research base. |
create_note | write | Create a new research note. |
fetch_url | write | Fetch a URL and save it as a research note. |
get_backlinks | read | Get all notes that link TO a given note. |
get_hubs | read | Get the most-linked-to notes in the research base (hub notes). |
lint_vault | write | Run health checks on the vault. Returns issues found. |
list_notes | read | List notes with optional filters. Returns summaries (no bodies). |
list_sources | read | List fetched web sources, optionally filtered by domain. |
read_many | read | Read multiple notes at once. Pass comma-separated IDs. |
read_note | read | Read a single note by ID. Returns full metadata and body content. |
search_notes | read | Search the research base by text. Returns matching notes with titles, summaries, and full bodies. |
update_note | write | Update a note |
vault_status | read | Get vault health overview: note counts, tag distribution, link stats, word count. |
Trust audit
CAUTIONgrade B · trust 87/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | WARN |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- declared (4 observation(s))
- Network
- declared (11 observation(s))
- Shell
- declared (1 observation(s))
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (19)
module = importlib.import_module(f"hyperresearch.scholar.providers.{module_suffix}")url = f"http://127.0.0.1:{port}"escaping_tag = os.path.relpath(outside, runs) # ../../..\\outside-vault
path = write_note(tmp_vault.notes_dir, "Evil", note_id="../../../outside")
assert not is_valid_wiki_link_target("../../../tmp/pwned")assert not is_valid_wiki_link_target("a/../../b")"../../x",
rec = _record(id=None, downloadUrl="http://169.254.169.254/latest/meta-data", sourceFulltextUrls=[])
socket, "getaddrinfo", lambda h, p: [(2, 1, 6, "", ("169.254.169.254", 0))]rec = _record(id=None, downloadUrl="http://169.254.169.254/x.pdf", sourceFulltextUrls=[SOURCE_PDF])
addr = "169.254.169.254" if host.startswith("169.") else "93.184.216.34"socket, "getaddrinfo", lambda h, p: [(2, 1, 6, "", ("169.254.169.254", 0))]- **`hpr serve` binds its port exclusively on Windows and reports the port it bound (#104).** `SO_REUSEADDR` means "reclaim TIME_WAIT" on POSIX and "share a live port" on Winsock; a second bind on a r
rec = _record(id=None, downloadUrl="http://169.254.169.254/latest/meta-data", sourceFulltextUrls=[])
rec = _record(id=None, downloadUrl="http://169.254.169.254/x.pdf", sourceFulltextUrls=[SOURCE_PDF])
ok, reason = oa.check_oa_url("https://127.0.0.1/p.pdf")screenshot_bytes = base64.b64decode(result.screenshot)
screenshot_bytes = base64.b64decode(cr.screenshot)
assets/how-it-works.gif
Gates applied: no_behavioural_pass.
c793941599fbfull audit observations/trust-audit/mcp-server/jordan-gibbs__hyperresearch.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-10 | c793941599fb | CAUTION | B | 87 | first audit |
Questions
What is the hyperresearch MCP server?
Convert Claude Code or Codex into the most intelligent Deep Research Agent. Collect, search, and synthesize web research into a persistent, searchable wiki that builds on itself. Hosted API + MCP: hyperresearch.ai
What tools does hyperresearch expose?
13 in total: 9 read-only, 4 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is hyperresearch safe to connect to an agent?
With care. The audit graded it B (87/100) and found 19 things worth knowing before you trust this server, listed below with the exact line each was found on.
What credentials does hyperresearch need?
It reads EXA_API_KEY, OPENAI_API_KEY, SERPLY_API_KEY, TAVILY_API_KEY and VOYAGE_API_KEY from the environment. Give it a token scoped to the least it needs — an agent that can be talked into calling a tool can be talked into calling it with your credentials.
How does hyperresearch run?
It speaks streamable-http, so it runs as a service you connect to over the network. It is published on PyPI as hyperresearch.
How current is this page?
The grade is for one exact copy of the source (c793941599fb), read on 2026-10-10. The repository is watched and re-audited when it changes.