mcpField
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answersearch

answersearch

Local
github.com/CloudCorpRecordsSearch0Updated 2w ago

About answersearch

answersearch provides Perplexity API search and answer capabilities through a CLI and MCP server. It is for terminal users and agents that need sourced web answers, ranked search results, analytical reasoning, or deeper research.

Key features

  1. 01Get search-grounded conversational answers
  2. 02Retrieve ranked web search results
  3. 03Ask the reasoning model for analysis
  4. 04Request slower, deeper research
  5. 05Use as a CLI or stdio MCP server

Use cases

  1. 01Answer questions using live web search
  2. 02Collect ranked results with configurable budgets
  3. 03Work through an analytical question
  4. 04Commission a broader research pass

MCP support

The stdio MCP server exposes tools for Perplexity conversational answers, direct search, analytical reasoning, and deep research. Calls require a Perplexity API key, and upstream failures are returned as tool errors.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"cloudcorprecords-answersearch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/answersearch"
]
}
}
}
Run commandnpx -y @reneturcios/answersearch

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@reneturcios/answersearch0.1.0
ocighcr.io/cloudcorprecords/answersearch:0.1.0

Tools

4

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
messagesarrayYesConversation messages as an ordered array of objects, each with a role and a content string, forming the prompt or conversation to send to the model.

Details

From the project README

answersearch

answersearch puts Perplexity's models within reach of a terminal or an agent. You can put a question to a search-grounded model and get an answer with its sources, pull ranked web results on their own, hand a hard problem to the reasoning model, or commission a slower, deeper research pass that reads widely before it writes. It runs as a small CLI or as an MCP server, and it needs a Perplexity API key.

Setup

Get a key from the Perplexity API portal and export it:

export PERPLEXITY_API_KEY=<redacted>

Without the variable set, every command and tool call fails with an error that names PERPLEXITY_API_KEY — nothing is sent anywhere.

Install

npx @reneturcios/answersearch ask "what changed in the latest Node LTS?"

Or run the container image:

docker run -i -e PERPLEXITY_API_KEY ghcr.io/cloudcorprecords/answersearch

The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.

CLI

# Conversational answer grounded in live web search (sonar-pro)
answersearch ask "who won the marathon last weekend?"

# Ranked search results only, with optional budgets
answersearch search "composting basics" --max-results 5 --max-tokens 4000 --max-tokens-per-page 512

# Step-by-step reasoning (sonar-reasoning-pro)
answersearch reason "prove that the square root of two is irrational"

# Deep, multi-source research (sonar-deep-research) — this one takes a while
answersearch research "compare the failure modes of lithium and sodium batteries"

answersearch --version

Successful calls print the API's JSON response. Exit codes: 0 on success, 1 when the API call fails (including a missing key), 2 for usage errors.

MCP server

One bin serves both faces. The mcp subcommand starts a stdio MCP server:

npx -y @reneturcios/answersearch mcp

MCP client configuration:

{
  "mcpServers": {
    "answersearch": {
      "command": "npx",
      "args": ["-y", "@reneturcios/answersearch", "mcp"],
      "env": { "PERPLEXITY_API_KEY": "your-key-here" }
    }
  }
}
Tools
ToolInputWhat it does
perplexity_askmessages (array of {role, content}, required)Conversational answer with live web search, via the sonar-pro model on the chat-completions endpoint.
perplexity_searchquery (string, required), max_results, max_tokens, max_tokens_per_page (integers, optional)Direct call to the Search API; returns its ranked results and metadata as returned upstream.
perplexity_reasonmessages (required, same shape)Analytical reasoning via sonar-reasoning-pro.
perplexity_researchmessages (required, same shape)Deep research via sonar-deep-research; expect a longer wait than the other tools.

Tool results are the upstream JSON, pretty-printed as text. Upstream failures (bad key, quota, HTTP errors) come back as tool errors carrying the status and the API's own message.

Development

npm install
npm run build   # tsc -> dist/
npm test        # node test runner over test/*.test.ts, no network (fake fetch fixtures)
npm run dev     # run the CLI from source via tsx

License

MIT — see LICENSE.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.