PluginBench
MCP Server
Active
MIT

Enterprise Research Evidence Chain MCP Server

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

What is the Enterprise Research Evidence Chain MCP server?

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

How to install Enterprise Research Evidence Chain

Copy-paste configuration for popular MCP clients.

transport: stdio
Config generated by PluginBench — verify against the source before use.
Environment / auth
  • DIYAN_API_KEY
    required
    secret

    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.

~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "diyan-research-mcp": {
      "command": "uvx",
      "args": [
        "diyan-research-mcp"
      ],
      "env": {
        "DIYAN_API_KEY": "<YOUR_DIYAN_API_KEY>",
        "DIYAN_TRANSPORT": "<YOUR_DIYAN_TRANSPORT>"
      }
    }
  }
}

Related MCP servers

Hash passwords with bcrypt and issue/verify JWT session tokens over A2A + MCP.

1
Python
MIT
View repository →

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.

1
Python
MIT
View repository →

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.

1
Python
MIT
View repository →

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f

1
Python
MIT
View repository →

Single entry point for the GOSCE portfolio: routes orchestrators to verified agents by capability, w

1
Python
MIT
View repository →

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith

1
Python
MIT
View repository →