Researcher Agent
An application built on the Model Context Protocol (MCP) that transforms any website into highly relevant content based on your queries. The app seamlessly integrates with platforms like X, Slack, and among others.
What is Researcher Agent?
Researcher Agent is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to application built on the model context protocol (mcp) that transforms any website into highly relevant content based on your queries. the app seamlessly integrates with platforms like x, slack, and am...
An application built on the Model Context Protocol (MCP) that transforms any website into highly relevant content based on your queries. The app seamlessly integrates with platforms like X, Slack, and among others.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- An application built on the Model Context Protocol (MCP) tha
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx researcher-agentConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Researcher Agent
Researcher Agent is an MCP application built on LangGraph that transforms websites into structured, query-relevant content and distributes the results to platforms like X (Twitter) and Slack through Arcade's integration layer. It combines Firecrawl for web scraping, OpenAI's structured outputs for reliable extraction, and LangSmith for observability, making it a production-ready research automation pipeline. Content teams and developers use it to automate competitive monitoring, documentation indexing, and research digests that are automatically posted to their chosen communication platforms.
Prerequisites
- Python 3.10 or higher installed
- An OpenAI API key for structured output generation
- A Firecrawl API key for web scraping (sign up at https://firecrawl.dev)
- An Arcade API key if using platform integrations (X, Slack) via https://arcade.dev
- A LangSmith API key for tracing (optional but recommended — https://smith.langchain.com)
Clone the repository
Clone the researcher_agent repository and enter the project directory.
git clone https://github.com/lgesuellip/researcher_agent.git
cd researcher_agentInstall Python dependencies
Install all required packages. The project uses LangGraph, Firecrawl, Arcade, and Pydantic.
pip install -r requirements.txtSet environment variables
Export the required API keys. At minimum you need OPENAI_API_KEY and FIRECRAWL_API_KEY. Add ARCADE_API_KEY for platform posting and LANGSMITH_API_KEY for tracing.
export OPENAI_API_KEY="sk-your-openai-key"
export FIRECRAWL_API_KEY="fc-your-firecrawl-key"
export ARCADE_API_KEY="your-arcade-key"
export LANGSMITH_API_KEY="your-langsmith-key"
export LANGCHAIN_TRACING_V2="true"Start the MCP server
Launch the Researcher Agent as an MCP server. The exact start command may vary; check the repository's main script or Makefile.
python -m researcher_agentConfigure your MCP client
Add the server to your MCP client configuration. Because this is a Python server, use the python binary and module invocation.
{
"mcpServers": {
"researcher-agent": {
"command": "python",
"args": ["-m", "researcher_agent"],
"env": {
"OPENAI_API_KEY": "sk-your-openai-key",
"FIRECRAWL_API_KEY": "fc-your-firecrawl-key",
"ARCADE_API_KEY": "your-arcade-key"
}
}
}
}Researcher Agent Examples
Client configuration
MCP client configuration for Researcher Agent with required API keys as environment variables.
{
"mcpServers": {
"researcher-agent": {
"command": "python",
"args": ["-m", "researcher_agent"],
"env": {
"OPENAI_API_KEY": "sk-your-openai-key",
"FIRECRAWL_API_KEY": "fc-your-firecrawl-key",
"ARCADE_API_KEY": "your-arcade-key",
"LANGSMITH_API_KEY": "your-langsmith-key",
"LANGCHAIN_TRACING_V2": "true"
}
}
}
}Prompts to try
Example prompts for researching web content and distributing results to connected platforms.
- "Fetch https://openai.com/blog and summarise the three most recent posts"
- "Research the documentation at https://docs.langchain.com/langgraph and create an LLM-ready summary"
- "Scrape https://techcrunch.com for articles about AI agents published today and post a summary to Slack"
- "Index the API reference at https://docs.firecrawl.dev into a structured .txt file"
- "Monitor https://github.com/trending and tweet the top 5 trending Python repositories"Troubleshooting Researcher Agent
Firecrawl returns rate-limit errors on large scraping jobs
Reduce the number of concurrent page fetches or add delays between requests. Upgrade your Firecrawl plan at https://firecrawl.dev for higher rate limits.
Arcade integration fails when posting to X or Slack
Ensure ARCADE_API_KEY is set and that you have connected your X and Slack accounts in the Arcade dashboard at https://arcade.dev. Platform permissions must be granted before Arcade can post on your behalf.
OpenAI structured output calls fail with validation errors
The server uses Pydantic models to enforce output schemas. Check that your OPENAI_API_KEY has access to the gpt-4o or later models that support structured outputs, as older models may not satisfy the schema constraints.
Frequently Asked Questions about Researcher Agent
What is Researcher Agent?
Researcher Agent is a Model Context Protocol (MCP) server that application built on the model context protocol (mcp) that transforms any website into highly relevant content based on your queries. the app seamlessly integrates with platforms like x, slack, and among others. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Researcher Agent?
Follow the installation instructions on the Researcher Agent GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Researcher Agent?
Researcher Agent works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Researcher Agent free to use?
Yes, Researcher Agent is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Researcher Agent in Your Editor
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Quick Config Preview
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