TSUNG AI Research & Analysis MCP Server

by a0985344368-glitch Your server? Claim it

answering

TSUNG AI Research & Analysis is answering right now. Last checked 13 min ago.

Multi-LLM AI Research & Analysis — smart routing, consensus analysis, due diligence reports

The linked repository no longer exists on GitHub — it was deleted or made private.

Uptime history 47 days of history

47 days agonow

100.0%

Uptime 24h

91 of 91 checks

—

Tools

hidden behind auth

89 ms

Response time

average over 24h

authentication required

Access

streamable-http

This one has been quiet for a while

Quiet is not dead — but it is worth knowing when it wakes up, or when someone else takes it over. We watch the repository and tell you either way.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 13 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add tsung-ai --transport http https://tsung-mcp-custom.a0985344368.workers.dev/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "tsung-ai": {
      "url": "https://tsung-mcp-custom.a0985344368.workers.dev/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.tsung-ai]
url = "https://tsung-mcp-custom.a0985344368.workers.dev/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "tsung-ai": {
      "url": "https://tsung-mcp-custom.a0985344368.workers.dev/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "tsung-ai": {
      "url": "https://tsung-mcp-custom.a0985344368.workers.dev/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, but it did not say what kind of credentials it expects.

Endpoints

URL	Transport	State	Latency	Checked
https://tsung-mcp-custom.a0985344368.workers.dev/mcp	streamable-http	needs auth	62 ms	13 min ago

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TSUNG AI Research & Analysis — questions

Answers built from our own checks of this server.

Why is there no tool list for TSUNG AI Research & Analysis?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 100.0% of checks in the last 24 hours got a reply.

Is TSUNG AI Research & Analysis working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 89 ms. The bar chart above shows every period we have measured.

Is TSUNG AI Research & Analysis still maintained?

The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.

How do I connect TSUNG AI Research & Analysis?

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 is a remote server, so there is nothing to install — the client connects to the address. You will need your own credentials: it refuses anonymous clients.

Does TSUNG AI Research & Analysis need an API key?

Yes. Every time we knock, TSUNG AI Research & Analysis answers with an authorization challenge instead of its tool list — that is how we know it is running and gated rather than broken. Bring your own credentials and it will talk.

How fast is TSUNG AI Research & Analysis?

It answers our handshake in 89 ms on average, which is faster than 84% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.