SERVER

TensorFeed

Rank #15,642

ai.tensorfeed/mcp-server

AI news, model pricing, service status, and machine-payable premium tools. AFTA-certified.

17 versions

1 GitHub stars

by rippermercs (6 servers)View repository ↗

First listed

Apr 29, 2026

Last publish date

Jul 4, 2026

PURPOSE

What you can do with TensorFeed

TensorFeed is a Model Context Protocol (MCP) server published by rippermercs. It ranks #15,642 of 144,396 active servers on MCP Toplist, and its repository has 1 GitHub stars. TensorFeed is listed across 2 registries — Official MCP and Glama, with 17 tracked versions. It was first listed on Apr 29, 2026 and most recently updated on Jul 4, 2026.

Not verifiedMCP Toplist has not yet written a checked profile for this server, so the paragraph above is assembled from registry data only. The repository README is the authority on what it does.

CAPABILITIES AND LIMITATIONS

What TensorFeed can and cannot do

MCP Toplist connected to the public endpoint on Oct 12, 2026 and it listed 27 tools. Tool names are not stored, so what they do is not catalogued here.

Not verifiedMCP Toplist has not catalogued this server's tools or limitations. The repository README lists them.

REQUIREMENTS

What you need before using TensorFeed

VerifiedNo credentialsNo credentials declared

The registry listing declares no required environment variables or authentication. This is declared metadata, not a verified install — the repository README is the authority.

Verified by MCP Toplist on Oct 12, 2026: the public endpoint completed the MCP handshake and listed 27 tools without credentials.

Declared by Glama, last synced Oct 16, 2026. Not independently verified by MCP Toplist.

Declared in the registry install config

TENSORFEED_TOKEN · optional

Hosted endpoint declared as public.

INSTALLATION AND FIRST TASK

Connect TensorFeed and confirm it works

Remote · HTTP

claude mcp add --transport http tensorfeed https://mcp.tensorfeed.ai/mcp

npm package

claude mcp add tensorfeed -e "TENSORFEED_TOKEN=<your TENSORFEED_TOKEN>" -- npx -y @tensorfeed/mcp-server

Replace each placeholder with your own value before saving.

Remote · HTTP

[mcp_servers.tensorfeed]
url = "https://mcp.tensorfeed.ai/mcp"

Add to ~/.codex/config.toml.

npm package

[mcp_servers.tensorfeed]
command = "npx"
args = ["-y", "@tensorfeed/mcp-server"]

[mcp_servers.tensorfeed.env]
TENSORFEED_TOKEN = "<your TENSORFEED_TOKEN>"

Add to ~/.codex/config.toml. Replace each placeholder with your own value before saving.

Remote · HTTP

https://mcp.tensorfeed.ai/mcp

Settings → Connectors → “Add custom connector”, then paste this URL.

npm package

{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ],
      "env": {
        "TENSORFEED_TOKEN": "<your TENSORFEED_TOKEN>"
      }
    }
  }
}

Add to claude_desktop_config.json (Settings → Developer → Edit Config). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "tensorfeed": {
      "url": "https://mcp.tensorfeed.ai/mcp"
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project).

npm package

{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ],
      "env": {
        "TENSORFEED_TOKEN": "<your TENSORFEED_TOKEN>"
      }
    }
  }
}

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (per project). Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "servers": {
    "tensorfeed": {
      "type": "http",
      "url": "https://mcp.tensorfeed.ai/mcp"
    }
  }
}

Save as .vscode/mcp.json in your workspace.

npm package

{
  "servers": {
    "tensorfeed": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ],
      "env": {
        "TENSORFEED_TOKEN": "<your TENSORFEED_TOKEN>"
      }
    }
  }
}

Save as .vscode/mcp.json in your workspace. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "tensorfeed": {
      "serverUrl": "https://mcp.tensorfeed.ai/mcp"
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json.

npm package

{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ],
      "env": {
        "TENSORFEED_TOKEN": "<your TENSORFEED_TOKEN>"
      }
    }
  }
}

Add to ~/.codeium/windsurf/mcp_config.json. Replace each placeholder with your own value before saving.

Remote · HTTP

{
  "mcpServers": {
    "tensorfeed": {
      "url": "https://mcp.tensorfeed.ai/mcp"
    }
  }
}

npm package

{
  "mcpServers": {
    "tensorfeed": {
      "command": "npx",
      "args": [
        "-y",
        "@tensorfeed/mcp-server"
      ],
      "env": {
        "TENSORFEED_TOKEN": "<your TENSORFEED_TOKEN>"
      }
    }
  }
}

Replace each placeholder with your own value before saving.

First successful task

After adding the config, ask your client to list this server's tools. A tool list confirms the connection; an empty list or an error means the server did not start or needs credentials.

ALTERNATIVES

When to choose another server

Other servers by rippermercs

View all rippermercs servers →

No task-specific alternatives are catalogued for TensorFeedyet; the list above is its publisher's other servers.

MAINTENANCE AND EVIDENCE

What changed, and when this was checked

First listed: Apr 29, 2026
Latest version published: Jul 4, 2026
Version history: 17 versions tracked (below)
Requirements evidence: Verified by MCP Toplist on Oct 12, 2026: the public endpoint completed the MCP handshake and listed 27 tools without credentials.
Profile checked: Not yet — purpose, capabilities and requirements above come from registry data only
Ranking data as of: Oct 16, 2026

Registry sightings

Official MCP ↗listed since Apr 29, 2026 · still listed
Glama ↗listed since May 27, 2026 · still listed

Do you maintain TensorFeed? to correct or enrich this profile.

VERSIONS

Available versions (17)

Version	Published
2.0.1	Jul 4, 2026
2.0.0	Jun 8, 2026
1.38.0	Jun 3, 2026
1.36.3	May 31, 2026
1.36.1	May 31, 2026
1.36.0	May 28, 2026
1.35.0	May 27, 2026
1.33.0	May 25, 2026
1.26.0	May 9, 2026
1.25.0	May 7, 2026
1.24.0	May 7, 2026
1.20.0	May 4, 2026
1.13.0	May 4, 2026
1.12.0	May 4, 2026
1.11.1	May 4, 2026
1.11.0	May 4, 2026
1.9.1	Apr 29, 2026

STANDING

#15,642of 144,396 active serversTop 25%

Ranks ahead of 128,754 of 144,396 servers on MCP Toplist.

BADGE

Show your rank

Maintain this server? Add the live rank badge to your README — it updates automatically as the leaderboard changes.

Markdown

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HTML

<a href="https://mcptoplist.com/server/ai.tensorfeed%2Fmcp-server"><img src="https://mcptoplist.com/badge/ai.tensorfeed%2Fmcp-server.svg" alt="MCP Toplist: Top 25% of 144,396" /></a>

Variants: append ?metric=score or ?metric=stars to the image URL.

FAQ

Frequently asked questions

Who maintains TensorFeed?: TensorFeed is maintained by rippermercs, which publishes 6 MCP servers (23 total versions) tracked on MCP Toplist.
Is TensorFeed listed on the Official MCP Registry?: Yes — TensorFeed is listed on the Official MCP Registry, alongside Glama.
How many versions does TensorFeed have?: MCP Toplist tracks 17 versions of TensorFeed, most recently published on Jul 4, 2026.
Where can I find the source code for TensorFeed?: The source code for TensorFeed is hosted at github.com/RipperMercs/tensorfeed-mcp.

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