What dependencies or runtime are required?
Go 1.18 or later and a valid Perplexity AI API key are needed to build and run ResearchMCP.
@chew-z
基本信息
MCP server for Perplexity
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
ResearchMCP is a Model Context Protocol (MCP) service that provides internet research capabilities by integrating with Perplexity AI’s API. It exposes a single “research” tool for querying up-to-date information on a wide range of topics, with graceful error handling and degraded mode.
Set required environment variables (e.g., PERPLEXITY_API_KEY) in a .env file, then build and run the service using go build and ./ResearchMCP. The service exposes a tool named research that accepts a query string argument.
Go 1.18 or later and a valid Perplexity AI API key are needed to build and run ResearchMCP.
Configuration is done through environment variables: `PERPLEXITY_API_KEY` (required), and optional ones like `PERPLEXITY_MODEL`, `PERPLEXITY_TIMEOUT`, `PERPLEXITY_MAX_RETRIES`, `PERPLEXITY_INITIAL_BACKOFF`, and `PERPLEXITY_MAX_BACKOFF`.
The tool requires a single `query` string (the research question or topic). It returns a text response that includes source URLs.
The service includes graceful error handling with a degraded mode, configurable retries (default 2), and exponential backoff.
ResearchMCP uses a Perplexity API key supplied via the `PERPLEXITY_API_KEY` environment variable. No other authentication or transport layer is described.
Open-source MCP to use Blender with any LLM

A good sequence diagram can solve almost any communication problem in engineering. Volley lets your agent write them as plain text, with the real request and response payloads on every arrow. It checks its own syntax wi
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
MCP Toolbox for Databases is an open source MCP server for databases.
A curated list of references for MLOps
评论