hkverma
MCP Serverhkvermapublic

research mcp agent

An MCP agent to do research

Repository Info

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Python
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-
License

About This Server

An MCP agent to do research

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

MCP StreamableHttp Research Agent Server Example

A MCP server example demonstrating the StreamableHttp transport to conduct a research. This example is ideal for understanding how to deploy MCP servers in multi-node environments where requests can be routed to any instance.

Features

  • Uses the StreamableHTTP transport in stateless mode
  • Each request creates a new ephemeral connection
  • No session state maintained between requests
  • Task lifecycle scoped to individual requests
  • Suitable for deployment in multi-node environments

Usage

Start the server:

# Using default port 3000
uv run research_agent

# Using custom port
uv run research_agent --port 3000

# Custom logging level
uv run research_agent --log-level DEBUG

# Enable JSON responses instead of SSE streams
uv run mcp-simple-streamablehttp-stateless --json-response

The server exposes a tool that accepts three arguments:

  • prompt: Research topic
  • max_search: Number of searches for each iterations (e.g. 2)
  • iterations: Number of iterations to reflect on (e.g. 3)

Client

You can connect to this server using an HTTP client. For now, only the TypeScript SDK has streamable HTTP client examples, or you can use Inspector for testing.

Quick Start

1

Clone the repository

git clone https://github.com/hkverma/research-mcp-agent
2

Install dependencies

cd research-mcp-agent
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownerhkverma
Reporesearch-mcp-agent
LanguagePython
License-
Last fetched8/10/2025

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