servers/ ai-agents/ methods-mcp
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methods-mcp

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MCP server for structured methods extraction + reproducibility heuristics on academic papers.

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Overview Installation

Overview

methods-mcp is a Model Context Protocol (MCP) server: MCP server for structured methods extraction + reproducibility heuristics on academic papers. In practice that means any MCP-compatible AI assistant can call methods-mcp's tools directly — the model decides when to use them in a conversation or agent run.

It runs locally: the Python package methods-mcp (via uvx) speaks MCP over stdio on your machine. Configuration happens through environment variables — you'll need ANTHROPIC_API_KEY. The current release is v0.1.7, published under the MIT license, with source at FlynnLachendro/methods-mcp on GitHub.

methods-mcp is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain methods-mcp for FlynnLachendro, claim this listing to verify ownership, earn the Verified badge, and keep the details current.

PyPI package — methods-mcp · MCP over stdio
Credentials — Requires ANTHROPIC_API_KEY
Open source — MIT license · FlynnLachendro/methods-mcp
Topics — academic-papers, ai-for-science, anthropic, claude, fastmcp

Installation

// claude_desktop_config.json
{
  "mcpServers": {
    "methods_mcp": {
      "command": "uvx",
      "args": [
        "methods-mcp"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "<anthropic-api-key>"
      }
    }
  }
}

Requires ANTHROPIC_API_KEY

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