mcpbeat

Enterprise Research Evidence Chain MCP Server

io.github.mikeli20221102-ux/diyan-research-mcp
local only

Enterprise Research Evidence Chain runs on your own machine — the client starts it, so there is no endpoint to ping. 590 installs a week from pypi. Last commit 3 Aug 2026.

Read-only enterprise research MCP: frameworks, frozen snapshots, sourced results. No trading advice.

590
Installs / week
pypi · diyan-research-mcp
1
Stars
0 open issues
3 Aug 2026
Last commit
0 releases in 90 days
MIT
License
Python

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add diyan-research-mcp -- uvx diyan-research-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "diyan-research-mcp": {
      "args": [
        "diyan-research-mcp"
      ],
      "command": "uvx"
    }
  }
}
~/.codex/config.toml
[mcp_servers.diyan-research-mcp]
command = "uvx"
args = ["diyan-research-mcp"]
.cursor/mcp.json
{
  "mcpServers": {
    "diyan-research-mcp": {
      "args": [
        "diyan-research-mcp"
      ],
      "command": "uvx"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "diyan-research-mcp": {
      "args": [
        "diyan-research-mcp"
      ],
      "command": "uvx"
    }
  }
}

Enterprise Research Evidence Chain — questions

Answers built from our own checks of this server.

Why is there no uptime for Enterprise Research Evidence Chain?
Enterprise Research Evidence Chain runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package diyan-research-mcp was installed 590 times last week.
How do I connect Enterprise Research Evidence Chain?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It runs locally, so the command pulls diyan-research-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Enterprise Research Evidence Chain?
The pypi package diyan-research-mcp was installed 590 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Enterprise Research Evidence Chain open source?
Yes — it is published under the MIT licence, written in Python and 1 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.