Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Research with answers you can check: every paragraph verified against its cited source.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
ZEARCH_API_KEY, ZEARCH_API_URLValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"zearch": {
"command": "npx",
"args": [
"-y",
"@zearchcomputer/mcp"
],
"env": {
"ZEARCH_API_KEY": "your-value",
"ZEARCH_API_URL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add zearch --env ZEARCH_API_KEY=your-value --env ZEARCH_API_URL=your-value -- npx -y @zearchcomputer/mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"zearch": {
"command": "npx",
"args": [
"-y",
"@zearchcomputer/mcp"
],
"env": {
"ZEARCH_API_KEY": "your-value",
"ZEARCH_API_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"zearch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@zearchcomputer/mcp"
],
"env": {
"ZEARCH_API_KEY": "your-value",
"ZEARCH_API_URL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
ZEARCH_API_URL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account zearchcomputer, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: ZEARCH_API_KEY
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 24 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
Answers you can check, inside any MCP client.
@zearchcomputer/mcp connects Claude, Cursor, VS Code and other Model Context Protocol clients to Zearch. Ask a question and you get an answer whose every paragraph was checked against the source it cites, with the exact passage Zearch read. Or check text your own model wrote against sources you already have.
Status: early. The Zearch API is not open to everyone yet.
flowchart LR
Q([Question]) --> S[Search] S --> J1[Jev selects passages] J1 --> W[Writer drafts from those passages only] W --> J2[Jev checks each paragraph] J2 -->|supported| A([Cited answer]) J2 -->|not supported| E([The source passage itself])
Jev is TypeSafe AI's evidence model. When a paragraph can't be supported it is cut, and when nothing survives you get the best source passage instead of a guess (answer_type: "excerpt").
| Tool | What it does | Credits |
|---|---|---|
research | Checked answer with numbered sources and the passages Jev read. Modes: standard, deep (a report from up to 8 sources), compare, scrape (one page), crawl (up to five pages of a site), reverse (how an app, repo or site works, from static analysis). Follow-ups with parent_id. | 1 · 5 · 2 · 1 · 3 · 10; follow-up 0.3 |
verify | Checks your text against your sources, paragraph by paragraph: pass/fail, support and attribution scores. Cite sources as [1], [2]… | 1 |
get_run | Reopens a run, or checks on a queued reverse run. | free |
list_runs | Your recent runs (shared with the Zearch app). | free |
get_wallet | Credit balance, lots and expiry, recent ledger entries. | free |
get_pricing | Public price list. No key needed. | free |
Errors are never charged. A run that can only return a source passage costs half.
Progress. research streams its stages (*Searching the web → Choosing the most relevant evidence → Checking each claim against its source*) as MCP progress notifications, so clients that show progress show what Zearch is doing.
Answer view. In clients that support MCP Apps, research, get_run and verify render an inline card: the answer with citation chips, source cards with the excerpt Jev read, an *Open* button for each source, and follow-up suggestions. It follows the client's light or dark theme. Other clients get the same content as text. Set ZEARCH_UI=0 to turn it off.
Resources. zearch://runs/{id} (a run as Markdown; your recent runs are listed), zearch://pricing.
Prompts. research_brief (a cited brief from deep research), fact_check (find sources for a draft, then verify it), compare (a table with a citation in every cell).
You need a Zearch API key (zk_live_…). Create one in the Zearch app under Account → API keys.
claude mcp add zearch --env ZEARCH_API_KEY=zk_live_your_key -- npx -y @zearchcomputer/mcp
In *Settings → Developer → Edit config*, add:
{
"mcpServers": { "zearch": { "command": "npx", "args": ["-y", "@zearchcomputer/mcp"], "env": { "ZEARCH_API_KEY": "zk_live_your_key" } } } }
.cursor/mcp.json (project) or ~/.cursor/mcp.json (global): the same mcpServers block as Claude Desktop.
.vscode/mcp.json, which prompts for the key instead of storing it:
{
"inputs": [{ "type": "promptString", "id": "zearch-key", "description": "Zearch API key", "password": true }], "servers": { "zearch": { "type": "stdio", "command": "npx", "args": ["-y", "@zearchcomputer/mcp"], "env": { "ZEARCH_API_KEY": "${input:zearch-key}" } } } }
git clone https://github.com/zearchcomputer/zearch-mcp
cd zearch-mcp npm ci && npm run build
Then use node /absolute/path/to/zearch-mcp/dist/index.js as the command in any config above, instead of npx -y @zearchcomputer/mcp.
npx -y @zearchcomputer/mcp --http --port 8787 # http://127.0.0.1:8787/mcp
Every request uses the caller's own key, sent as Authorization: Bearer zk_live_…; the server stores no keys. ZEARCH_API_KEY is used as a fallback only when the server listens on loopback, so a public deployment can't spend the operator's credits for someone else. GET /healthz reports liveness.
To serve on a public interface, bind it and list the hostnames you serve, so requests with other Host headers are refused:
npx -y @zearchcomputer/mcp --http --host 0.0.0.0 --port 8080 --allowed-hosts mcp.zearch.computer
A Dockerfile is included for this.
| Variable | Default | Purpose |
|---|---|---|
ZEARCH_API_KEY | Your API key. In HTTP mode, callers send their own. | |
ZEARCH_API_URL | https://zearch.computer/v1 | API base URL. http:// is accepted only for localhost. |
ZEARCH_TIMEOUT_MS | 120000 | Per-request timeout. Research streams get at least 180 s. |
ZEARCH_REVERSE_WAIT_MS | 300000 | How long research waits for a reverse run before returning its id for get_run. |
ZEARCH_UI | on | 0 turns off the inline answer view. |
ZEARCH_MCP_ALLOWED_HOSTS | Same as --allowed-hosts. | |
PORT | 8787 | HTTP port when --port isn't given. |
research call carries an idempotency key, reused across retries, so a retried request never runs or charges twice.Retry-After. Out-of-credit, auth and validation errors are not retried; they come back as a tool error that says what to do next.npm ci
npm test # builds, then runs the tests against a local mock of the Zearch API
Tests make no network calls beyond localhost and spend no credits. The view is a single dependency-free HTML file in src/ui/answer.html.
The server is built on the MCP TypeScript SDK v2 (protocol revision 2026-07-28, with 2025-era clients still served) and talks to the Zearch API.
Report vulnerabilities privately through GitHub security advisories. See the security policy.
MIT