TSUNG AI Research & Analysis MCP Server

by a0985344368-glitch Your server? Claim it

answering

TSUNG AI Research & Analysis is answering right now. Last checked 1 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 91 days of history · worst day 92%

91 days agonow

100.0%

Uptime 24h

92 of 92 checks

—

Tools

hidden behind auth

106 ms

Response time

average over 24h

authentication required

Access

streamable-http

TSUNG AI Research & Analysis missed one check this week

Everything else answered, so this is steady rather than shaky. We check every 15 minutes, which is how a one-off gets told apart from the start of a pattern, and how you hear about the next one within the hour instead of from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 1 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

Settings → Connectors → Add custom connector, then paste this address

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

{
  "servers": {
    "tsung-ai": {
      "type": "http",
      "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	60 ms	1 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 92 of 92 checks got a reply (100.0%), average response time 106 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 in the form 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 106 ms on average, which is faster than 91% 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.