mcp-registry/ai.tensorfeed/mcp-server · v1.38.0
As of 2026-10-19 23:20 UTC, the Tensorfeed MCP server is up with a Glimind reliability score of 97/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.
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Claude Code
claude mcp add --transport http tensorfeed-mcp-server https://mcp.tensorfeed.ai/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"tensorfeed-mcp-server": {
"type": "http",
"url": "https://mcp.tensorfeed.ai/mcp"
}
}
}
Third-party server, listed as discovered. Review its source before installing.
30 of 30 tool(s) carry no readOnlyHint/destructiveHint annotations.
Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →
3 tool(s) look like they change state (create/send/delete/pay…) but declare no destructiveHint.
Set annotations {"readOnlyHint": false, "destructiveHint": true|false, "idempotentHint": …}. Clients use these to ask the user before a side effect and to auto-approve safe reads. How to fix →
Negotiates MCP 2024-11-05. Structured output, tool output schemas and elicitation arrived in 2025-06-18.
Upgrade the MCP SDK and negotiate 2025-06-18 or newer. How to fix →
In the last 30 days: 11 tool(s) removed and 3 schema change(s).
Add new tools or optional parameters instead of renaming or removing; deprecate first (say so in the description) and remove later. Agents cache tool contracts. How to fix →
No tool declares an outputSchema.
Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →
Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fai.tensorfeed%2Fmcp-server/fixes
{
"name": "check_agent_reputation",
"description": "Look up an agent's public reputation card from the TensorFeed Agent Reputation Bureau. Takes a wallet (0x + 40 hex) OR a token_prefix (first 16 chars of a tf_live_ bearer). Returns the full ReputationCard: composite + sub-metric ranks (reliability, spend, activity, streak), trust grade A through F, public flags (new_wallet, spend_spike, claim_disputed, etc), wallet age, first_seen, last_active, ofac_clean, banned + ban_reason if applicable. Cards rebuild daily at 04:50 UTC from TF's own observab",
"inputSchema": {
"type": "object",
"properties": {
"wallet": {
"type": "string",
"description": "EIP-55 or lowercased EOA wallet address (0x + 40 hex). Mutually exclusive with token_prefix."
},
"token_prefix": {
"type": "string",
"description": "First 16 chars of a tf_live_ bearer token (e.g. \"tf_live_18e54f47\"). Mutually exclusive with wallet."
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "check_ai_supply_chain_risk",
"description": "Check the TensorFeed AI/MCP/LLM supply-chain IOC feed. Returns publicly-disclosed malicious npm/PyPI packages whose name or summary signals relevance to AI agent operators. With no args, returns the whole snapshot (typically a small number of entries). With \"package_name\", returns only entries matching that name (substring, case-insensitive) so an agent can ask \"is X risky right now?\" before installing. Each entry cites its GHSA primary source. Posture: TF republishes already-public advisories; ",
"inputSchema": {
"type": "object",
"properties": {
"ecosystem": {
"type": "string",
"description": "Optional ecosystem filter: \"npm\" or \"pip\""
},
"package_name": {
"type": "string",
"description": "Optional case-insensitive substring of the package name (e.g. \"mistralai\" or \"@mistralai/mistralai-gcp\"). If omitted, returns all current entries."
}
}
},
"annotations": {
"readOnlyHint": true
}
}{
"name": "compare_models",
"description": "PREMIUM (1 credit, $0.02). Pick between models in one call: pricing, benchmarks, status, and recent news for 2 to 5 models side by side, with cheapest-blended and per-benchmark rankings, so you choose without scraping each provider. Pay per call with an x402 wallet payment (arguments.payment, or an X-PAYMENT header; strict HTTP-402 transport at https://mcp.tensorfeed.ai/mcp?x402=strict) or use an Authorization: Bearer tf_live_... credits token. No token and no USDC? Claim free trial credits by s",
"inputSchema": {
"type": "object",
"required": [
"ids"
],
"properties": {
"ids": {
"type": "string",
"description": "Comma-separated list of 2-5 model ids or display names. Examples: \"Claude Opus 5.5,GPT-6.1 Sol,Claude Haiku 5.5\" or \"opus-5-5,gpt-6-1-sol,haiku-5-5\""
},
"payment": {
"type": "string",
"description": "Optional base64 x402 payment payload (the same string an X-PAYMENT header would carry). Sign against the accepts[0] requirement returned by an unpaid call. Alternative to the Bearer credits token."
}
}
},
"annotations": {
"readOnlyHint": true
}
}Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:
curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/ai.tensorfeed/mcp-server"],"email":"[email protected]"}'Agents: watch_tool({"toolId": "mcp-registry/ai.tensorfeed/mcp-server"}) over MCP.
route_verdict ~600 tokensregister_free_watch ~433 tokensfailover_verdict ~387 tokensbenchmark_series ~386 tokensbenchmark_trust_verdict ~375 tokensStatic checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).
Operator? Fix these, then re-check live. Embed the readiness badge:
[](https://glimind.com/server/mcp-registry%2Fai.tensorfeed%2Fmcp-server?ref=badge)
<a href="https://glimind.com/server/mcp-registry%2Fai.tensorfeed%2Fmcp-server?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.tensorfeed%2Fmcp-server.svg" alt="MCP agent-readiness"></a>
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.tensorfeed%2Fmcp-server.svg :target: https://glimind.com/server/mcp-registry%2Fai.tensorfeed%2Fmcp-server?ref=badge :alt: MCP agent-readiness
Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:460e1beb8808b592…, first seen 2026-10-19, included at leaf 28399 of 29,394. Version history · verify what your client received.
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Glimind tells agents whether a server is up right now and how to call it, then fails over to a live alternative when it isn't.
Claude Code
claude mcp add --transport http glimind https://glimind.com/mcp
Claude Desktop · Windsurf · Cline (mcpServers JSON)
{
"mcpServers": {
"glimind": {
"type": "http",
"url": "https://glimind.com/mcp"
}
}
}
As of 2026-10-19 23:20 UTC, the Tensorfeed MCP server is up with a Glimind reliability score of 97/100 (grade A). Over the last 30 days it answered 100% of Glimind's liveness checks.
Tensorfeed MCP server advertises 30 tools, including benchmark_series, benchmark_trust_verdict, check_agent_reputation, check_ai_supply_chain_risk, compare_models.
Point your MCP client at this streamable-http endpoint: https://mcp.tensorfeed.ai/mcp
Glimind scanned all 30 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.
Status page: 90-day uptime, every outage and how long it lasted.
Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.
Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.