Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Multi-step web research with citations via Perplexity's Agent API. Standard library only.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
PERPLEXITY_API_KEY, PERPLEXITY_AGENT_WAIT_SECONDS비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"perplexity-agent": {
"command": "uvx",
"args": [
"perplexity-agent-mcp"
],
"env": {
"PERPLEXITY_API_KEY": "your-value",
"PERPLEXITY_AGENT_WAIT_SECONDS": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add perplexity-agent --env PERPLEXITY_API_KEY=your-value --env PERPLEXITY_AGENT_WAIT_SECONDS=your-value -- uvx perplexity-agent-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"perplexity-agent": {
"command": "uvx",
"args": [
"perplexity-agent-mcp"
],
"env": {
"PERPLEXITY_API_KEY": "your-value",
"PERPLEXITY_AGENT_WAIT_SECONDS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"perplexity-agent": {
"type": "stdio",
"command": "uvx",
"args": [
"perplexity-agent-mcp"
],
"env": {
"PERPLEXITY_API_KEY": "your-value",
"PERPLEXITY_AGENT_WAIT_SECONDS": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
PERPLEXITY_AGENT_WAIT_SECONDS env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 zalez 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: PERPLEXITY_API_KEY
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.4.0)은 3개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A single-file, zero-third-party-dependency MCP server for Perplexity's Agent API — multi-step web research with citations, exposed to any MCP client over stdio.
Python standard library only: no MCP SDK, no HTTP library, no code generated at build time. perplexity_agent_mcp.py holds your API key and talks to the network on your behalf, so it is written to be read — 1,774 lines, comments included. Both install paths below ship the exact same file; which one you pick changes how many other parties you're trusting to get it onto your disk, not what actually runs.
Background reading: *perplexity-agent-mcp: an open-source MCP server for Perplexity's Agent API* — why this exists, what the Agent API does that Sonar doesn't, and what building it turned up.
Perplexity's own @perplexity-ai/mcp-server wraps the Sonar chat models and the Search API. It does not reach the Agent API (POST /v1/agent) — Perplexity's multi-step, tool-using research endpoint, which runs its own web searches, fetches pages, and synthesizes one cited answer. This server fills exactly that gap. It's meant to run alongside the official one, not replace it.
The Agent API is asynchronous under the hood (see Configuration for why that matters), so this server exposes it as one lifecycle, not one call:
| Tool | Does | Use it when |
|---|---|---|
perplexity_agent | Starts a research run. By default, blocks until the answer is ready and returns synthesized, sourced text. | Your default entry point for any research question. |
perplexity_agent_result | Collects a run started earlier — a one-shot progress check, or a blocking wait. | perplexity_agent handed back a response_id instead of an answer (it ran out of wait budget, or you called it with wait: false). |
perplexity_agent_cancel | Asks Perplexity to stop a run that's no longer needed. | You started something with wait: false and no longer want the answer. |
Full parameters
`perplexity_agent`
| Param | Type | Default | Notes |
|---|---|---|---|
query | string | *(required)* | The research question. |
preset | string | medium | fast, low, medium, high, xhigh, wide-research — an open string, not validated client-side, so a preset Perplexity adds tomorrow works today without an update to this server. |
recency | string | *(none)* | One of hour, day, week, month, year. |
domains | string[] | *(none)* | Up to 20 domains. Prefix an entry with - to exclude it. Allowlist or denylist, not both. |
wait | boolean | true | Block until done, or return a response_id immediately so you can run several deep queries in parallel. |
`perplexity_agent_result`
| Param | Type | Default | Notes |
|---|---|---|---|
response_id | string | *(required)* | From perplexity_agent. |
wait_seconds | integer | 0 | 0 checks once and returns immediately. A higher value blocks, but is silently clamped to this server's configured wait budget (see Configuration) rather than rejected. |
`perplexity_agent_cancel`
| Param | Type | Default | Notes |
|---|---|---|---|
response_id | string | *(required)* | From perplexity_agent. |
One deliberate asymmetry, visible in tools/list: perplexity_agent's readOnlyHint annotation is false, even though it never touches your local machine — it creates real, billable, cancellable state on Perplexity's servers, and MCP clients use that hint to decide whether a call needs your approval before running. perplexity_agent_cancel carries destructiveHint: true, honestly: it ends a run, and Perplexity reports no usage at all for cancelled runs, so this tool cannot tell you whether cancelling changed your bill (see Security).
The whole point of this project is that you can read the one file that will hold your API key before you trust it with one. Do that first: download perplexity_agent_mcp.py and read it top to bottom.
Then check your interpreter. Stock macOS ships Python 3.9.6 at /usr/bin/python3 (confirmed on a current macOS install) — below this server's 3.10 floor. It will refuse to start and say why rather than fail obscurely, but you still want a real 3.10+ python3 (Homebrew, python.org, or uv python install all provide one):
python3 --version # must be >= 3.10
which python3 # note this path for the config below
Point your MCP client at the absolute paths of both the interpreter and the file:
{
"mcpServers": { "perplexity-agent": { "command": "/absolute/path/to/python3", "args": ["/absolute/path/to/perplexity_agent_mcp.py"], "env": { "PERPLEXITY_API_KEY": "pplx-…" } } } }
Use absolute paths for both — the same reason Path B insists on one below applies here too: a GUI app's PATH is not your shell's PATH, and a bare "command": "python3" can quietly resolve to that too-old system interpreter instead of the one you meant. On macOS, Claude Desktop's config file lives at ~/Library/Application Support/Claude/claude_desktop_config.json.
Trust chain: Python standard library, plus Perplexity. Nothing else.
uvx from PyPIOne JSON snippet, nothing to download by hand. uv fetches and runs the published package each time your MCP client starts the server.
{
"mcpServers": { "perplexity-agent": { "command": "/absolute/path/to/uvx", "args": ["perplexity-agent-mcp"], "env": { "PERPLEXITY_API_KEY": "pplx-…" } } } }
Two things worth getting right, each the difference between a working config and a support thread:
Use an absolute path to `uvx`. macOS GUI apps — Claude Desktop launched from Finder or Spotlight, not a terminal — do not inherit your shell's
PATH. If the config above says"command": "uvx", Claude Desktop very likely can't find it and fails withspawn uvx ENOENT. Runwhich uvxin your terminal and paste the absolute path it prints intocommandinstead.
Pin the version if you want reproducibility.
"args": ["perplexity-agent-mcp@0.4.0"]holds you on one release. Unpinned,uvresolves the newest *published release* on every restart — which is a materially different risk from tracking a branch: releases are immutable, tagged, and go through the same CI as everything else. Pin if you would rather review each upgrade; leave it off if you would rather get fixes automatically. Either is defensible, which is why this is not a warning.
llmThe same Perplexity Agent client, exposed as a model for Simon Willison's llm CLI. Optional — the MCP server never imports it and keeps its zero dependencies either way.
llm install llm-perplexity-agent
llm keys set perplexity # skip if you already set this for llm-perplexity llm -m perplexity-agent 'What changed in MCP 2026-07-28?'
Options mirror the MCP tool:
llm -m perplexity-agent -o preset xhigh -o recency week 'Latest on X'
llm -m perplexity-agent -o domains 'nasa.gov,-reddit.com' 'Artemis status' llm -m perplexity-agent -o timeout 600 'Something genuinely deep'
Poll progress goes to stderr, so the answer pipes cleanly:
$ llm -m perplexity-agent 'What is MCP?' > answer.md
[perplexity-agent] status queued after 1s; no intermediate results yet [perplexity-agent] status in_progress after 3s; 10 search result(s) gathered
Why not just point `llm` at the MCP server? llm has no MCP support — simonw/llm#696 has been open since January 2025. Third-party bridges exist, but the maintained ones pull in the full MCP SDK to talk to a server that deliberately has no dependencies. And the existing llm-perplexity plugin wraps the older Sonar chat models, not the Agent API — the same gap this project fills for MCP.
One deliberate difference from the MCP server: spotlighting is off by default here. In MCP the answer goes straight into a model that is holding tools, so injected instructions could cause actions, and the wrapper is essential. On the command line the answer goes to a terminal for a human to read, and llm runs no tool loop by default — so the realistic risk is a manipulated summary if you pipe it into another model, not a hijacked agent. Turn it on with -o spotlight true when the output is headed somewhere that matters:
llm -m perplexity-agent -o spotlight true 'Research X' | llm -m gpt-5 'Summarise'
These are not two equally convenient ways to install the same thing. Path B has a strictly larger trust surface than Path A — full stop; that's not a knock on Path B, it's the trade you make for not downloading anything by hand.
| Path A: single file | Path B: uvx | |
|---|---|---|
| You trust | Python standard library, Perplexity | Python standard library, Perplexity, plus `uv`, `flit_core`, and GitHub (at fetch time — every restart, unless pinned) |
| What runs | Exactly the bytes you read | A wheel flit_core builds from the tag you pinned — same source, but fetched and built on your behalf |
| Best for | Maximum auditability | Maximum convenience |
Both paths ship *the same bytes* — flit_core copies the one .py file into a wheel; nothing is generated, bundled, or vendored in between. Reading the file audits both.
| Variable | Required | Default | What it does |
|---|---|---|---|
PERPLEXITY_API_KEY | Yes | — | Your Perplexity API key. Missing or empty → a clean tool error naming the variable, never a crash. |
PERPLEXITY_AGENT_WAIT_SECONDS | No | 55 | Seconds a blocking tool call may wait before handing back a response_id instead of an answer. |
Claude Desktop enforces a tool-call timeout of 60 seconds that its users cannot configure — no setting, no environment variable, nothing in the UI. A synchronous MCP call that runs longer simply dies from the client's point of view, while Perplexity keeps working — and billing — server-side regardless. 55 leaves this server's own submit-then-poll round trip a 5-second margin inside that hard ceiling.
If your client isn't Claude Desktop, raise it — there's no reason to hand back a response_id early if your client is happy to keep waiting:
"env": { "PERPLEXITY_API_KEY": "pplx-…", "PERPLEXITY_AGENT_WAIT_SECONDS": "300" }
300 is what we recommend for Claude Code, VS Code, and Cursor IDE — see why in the table below. An unset, empty, non-numeric, zero, or negative value silently falls back to 55; a valid positive value is capped at 1800 (30 minutes) so a stray extra zero can't hang a call indefinitely. perplexity_agent_result's own wait_seconds parameter advertises this same ceiling as its declared maximum in tools/list — but sending it a larger value anyway doesn't get rejected, it gets silently clamped to the ceiling.
No MCP client publishes Claude Desktop's figure anywhere; we obtained it by reverse-engineering the installed app (v1.24012.1) — its bundled TypeScript SDK defaults DEFAULT_REQUEST_TIMEOUT_MSEC to 60000ms, and Claude Desktop calls callTool() without overriding it. The rest of this table comes from each project's own docs or source, with confidence noted where it's shaky:
|
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