What is Researcher Mcp

researcher-mcp is a powerful research assistant that integrates with Cline and Claude Desktop, utilizing Perplexity AI for intelligent search, documentation retrieval, API discovery, and code modernization assistance while coding.

Use cases

Use cases include performing general searches for information, retrieving documentation for technologies, discovering and evaluating APIs for integration, and analyzing code for deprecated features with migration guidance.

How to use

To use researcher-mcp, install Node.js, clone the repository, install dependencies, and obtain a Perplexity API key. You can then interact with the server through various tools for search, documentation retrieval, API discovery, and code analysis.

Key features

Key features include seamless context tracking for coherent responses, advanced query processing using Perplexity’s Sonar models, intelligent rate management with adaptive limits, and high-performance networking for optimized API calls.

Where to use

researcher-mcp can be used in software development, research projects, and any coding environment where intelligent assistance and efficient API management are required.

MCP-researcher Server

A powerful research assistant that integrates with Cline and Claude Desktop! Leverages Perplexity AI for intelligent search, documentation retrieval, API discovery, and code modernization assistance - all while you code.

Features

• Seamless Context Tracking: Maintains conversation history in SQLite database to provide coherent responses across multiple queries
• Advanced Query Processing: Uses Perplexity’s Sonar models for sophisticated reasoning and detailed answers to complex questions
• Intelligent Rate Management: Implements adaptive rate limiting with exponential backoff to maximize API usage without hitting limits
• High Performance Networking: Optimizes API calls with connection pooling and automatic retry logic for reliable operation

Tools

1. Search

Performs general search queries to get comprehensive information on any topic. The example shows how to use different detail levels (brief, normal, detailed) to get tailored responses.

2. Get Documentation

Retrieves documentation and usage examples for specific technologies, libraries, or APIs. The example demonstrates getting comprehensive documentation for React hooks, including best practices and common pitfalls.

3. Find APIs

Discovers and evaluates APIs that could be integrated into a project. The example shows finding payment processing APIs with detailed analysis of features, pricing, and integration complexity.

4. Check Deprecated Code

Analyzes code for deprecated features or patterns, providing migration guidance. The example demonstrates checking React class components and lifecycle methods for modern alternatives.

Installation

paste this part into claude directly if you want to, the ai can install it for you

1. First install Node.js if not already installed (from nodejs.org)

2. Clone the repo

3. Install dependencies and build

4. Get a Perplexity API key from https://www.perplexity.ai/settings/api

5. Create the MCP settings file in the appropriate location for your OS:

6. To use with Claude Desktop, add the server config:

7. To use with Cline, add into mcpServers:

8. Build the server:
   npm run build