Enterprise Research Evidence Chain MCP Server

by mikeli20221102-ux Your server? Claim it

local only

Enterprise Research Evidence Chain runs on your own machine — the client starts it, so there is no endpoint to ping. 84 installs a week from pypi. Last commit 3 Aug 2026.

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

Installs per day peak 31 · avg 13 · +1% w/w

a month agotoday

Installs / week

pypi · diyan-research-mcp

Stars

0 open issues

3 Aug 2026

Last commit

0 releases in 90 days

MIT

License

Python

Nothing serious here today

Today is the operative word: we check Enterprise Research Evidence Chain every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

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.

Claude Code Claude Desktop Codex Cursor VS Code

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"
    }
  }
}

This one needs environment variables set before it will start: DIYAN_API_KEY (Tenant credential issued by Diyan. Fill this on the MCP detail page.), DIYAN_TRANSPORT (stdio, sse, or streamable-http. Defaults to sse in hosted environments; use stdio for local clients.). The author declared them in the registry entry; get the values from the project itself.

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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 84 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 84 times in the last week. Week over week that is +1%. 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.