Hyperresearch Answers
ai.hyperresearchPublished by hyperresearch.aiOfficial publisherv1.0.1Updated Nov 6, 2026
One question, one checked answer: quote-verified answers from the web and ~45 structured sources.
The publisher's own server: Hyperresearch
Overview
Remote MCP server that answers questions with quote-verified results drawn from four web search engines and about 45 structured sources.
- What you can do
- Ask a question and get one verified answer with its quotes and links, or an id for longer-running work
- Retrieve a pending answer by its id
- Search for ranked sources with only the relevant passages, copied word for word, when the assistant should read the evidence itself
- Return not_found instead of guessing when sources do not support an answer
- When to use it
- Useful when an assistant needs researched answers backed by citations rather than raw web pages, especially for questions that depend on filings, government statistics, public registers, scholarly indexes or books. It suits agents that want compact, evidence-checked results to keep context small.
- Requirements
- A remote streamable HTTP endpoint; no local package or runtime. A Hyperresearch account with OAuth sign-in on first tool call, or an API key sent as an Authorization Bearer header for browserless environments. Prepaid credit in the account; new accounts get $5 of free credit.
Installation
In SourceWeft
- Open Hyperresearch Answers in the dashboard and add it to a workspace.
- Connect the required credentials. They are stored privately and never shown on public pages.
- Enable the server for the chats that should use its tools.
Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.
Use with an agent
Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.
Read https://sourceweft.com/mcp/ai.hyperresearch%2Fanswers/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.Other MCP clients
Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.
{
"mcpServers": {
"hyperresearch-answers": {
"type": "http",
"url": "https://answers.hyperresearch.ai/mcp"
}
}
}README
Hyperresearch Answers (MCP)
[Hyperresearch]Every web search provider has gaps. Each one indexes different pages, misses different sources, and none of them reach the structured data behind most real questions.
Hyperresearch Answers layers four web search engines with about 45 structured sources, including company filings, government statistics, public registers, scholarly indexes and books. Your agent gets one search tool with the gaps filled in.
Every answer is checked word for word against quotes from the pages it cites. If the sources don't back it up, it says not_found instead of guessing. Your agent gets the answer and its proof, not whole web pages, so its context stays on your work.
Tools
- ask: one question, one verified answer with its quotes and links. A hard question returns an id instead.
- get_answer: collects an answer that is still being worked on, by its id. Free.
- search: ranked sources with only the relevant passages, copied word for word, for when your agent should read the evidence itself.
Install
Server: https://answers.hyperresearch.ai/mcp (streamable HTTP). You sign in with your Hyperresearch account the first time a tool is called.
Claude Code:
Cline:
Agents setting this up for Cline can follow llms-install.md.
Gemini CLI:
VS Code (GitHub Copilot agent mode):
Any MCP client (mcp.json):
No browser (CI)? Create an API key at https://console.hyperresearch.ai/#/keys and send it as Authorization: Bearer <YOUR_API_KEY>.
Pricing
Calls are paid from prepaid credit in your Hyperresearch account. Every result shows what it cost and the balance left. New accounts get $5 of free credit, no card. Prices: https://hyperresearch.ai/answers
SDKs
Optional packages that give your own agent code the same ask and search tools, over the REST API with an API key (not on npm or PyPI yet):
- Vercel AI SDK:
@hyperresearch/ai-sdk - LangChain (Python):
langchain-hyperresearch - LangChain.js:
@hyperresearch/langchain
Support
[email protected] · https://hyperresearch.ai/answers
The server is hosted by Hyperresearch; nothing here needs to be installed or run to use it. packages/ holds the optional SDKs above.
Source: README.md at commit 67b708d
Tools
0Version history
2- v1.0.1LatestOct 30, 2026
- v1.0.0Oct 26, 2026
Score
85% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 daysRequired25 pts
- Auth declaredRequired10 pts
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts