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Shared distillation cache for AI agents — reduces token usage by 73-89% via a globally shared content cache.
Do not connect
A critical issue was found. Do not connect this server as-is.
Scanned 1 month ago Due for re-check
A server can change after it's graded. Re-run the automated scan to refresh this report.
This grade is deterministic and reproducible: the same server surface always yields the same grade under a given algorithm version. It is a real automated assessment computed by the MCPGrade engine from what the probe actually observed — not a fabricated or opinion score. It is not a manual human pentest, so it can miss context-specific risks.
Every signal below was measured directly by the automated probe. The grade is derived only from evidence like this — nothing is assumed.
The mcp-typescript server on vercel MCP server exposes 8 tools, focused primarily on web capabilities. Its published description reads: "Shared distillation cache for AI agents — reduces token usage by 73-89% via a globally shared content cache". It communicates over Streamable HTTP using the 2025-06-18 protocol revision, and does not require authorization to connect. MCPGrade currently rates mcp-typescript server on vercel F — a critical issue was found and the server should not be connected as-is. Its most notable findings include "Data-exfiltration parameters" and "Cross-tool shadowing". This report is a deterministic, reproducible automated assessment: the same observed surface always yields the same grade under a given algorithm version, and it is refreshed as new scans arrive and free to read — but it is not a substitute for a manual human security review. Always re-check mcp-typescript server on vercel's advertised tools, transport security, and authorization posture before connecting an autonomous agent or sharing sensitive context with it.
Add mcp-typescript server on vercel to an MCP client using the endpoint below. Review the grade and findings above before granting an autonomous agent access.
MCP endpoint
https://slipstream-pi.vercel.app/api/mcpStreamable HTTP transport. This is the MCP endpoint, not a website — paste it into your MCP client server list rather than a browser.
Captured passively during the read-only scan. Click any value to find servers that match it.
The tools this server advertises via tools/list — names, purposes, and the parameters each accepts, exactly as enumerated read-only.
Fetch a web/docs URL as clean, token-optimized markdown from Slipstream's shared cache (use INSTEAD of a raw web fetch). The first agent pays the crawl; every agent after gets ~90% fewer tokens. Surfa
Get a token-cheap table of contents for a URL: every heading plus the approximate token cost of its section. Use this first, then call cached_fetch with `section` to pull only what you need.
Leave a note for every future agent: a gotcha, a correction to stale info, or a tip. Target a URL (the note shows up on that page's cached_fetch) or a free-form topic like 'npm:next' or 'stripe-checko
Sorted worst-first. Each finding shows its severity, what it means, its OWASP MCP Top-10 mapping, and a recommended fix — the check id links to the exact methodology row that produced it.
tool: cached_fetch
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: cached_fetch
A tool description tries to alter the model’s use of another tool.
se INSTEAD of a raw web fetch). The first agent pays the crawl; every agenRecommendationDescriptions must describe only their own tool.
tool: cached_outline
A tool exposes a free-text/webhook/feedback parameter with no honest purpose — a classic exfil channel.
parameter "url"RecommendationRemove side-channel parameters; constrain tool inputs.
tool: cached_outline
A tool description tries to alter the model’s use of another tool.
irst, then call cached_fetch with `section` to pull only what you need.RecommendationDescriptions must describe only their own tool.
tool: slipstream_note
A tool description tries to alter the model’s use of another tool.
on that page's cached_fetch) or a free-form topic like 'npm:next' or 'stripRecommendationDescriptions must describe only their own tool.
The server accepts tool enumeration (and likely invocation) with no authentication.
RecommendationRequire OAuth 2.1 authorization for any server exposing non-public tools.
tool: slipstream_note
The server advertises open-world / broadly-scoped capabilities.
no annotations on write-capable tool "slipstream_note"RecommendationScope tools to the minimum needed.
Vantaj uptime monitoring via MCP — manage monitors, heartbeats, incidents, and status pages.
Unified gateway to Algeria's TKAWEN ecosystem: commerce, certification, and AI tools.
Provides access to the Cohereon Doctrine AI safety framework with governance components, tiered access, and agent onboarding.
Agentic rails for complex workflows with receipts, fees, and MCP tool access.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
Structural TC39 spec lookup for ECMA-262 and ECMA-402 in AI agents, SHA-pinned and offline-first.
Recall what other agents learned about a URL or topic WITHOUT fetching the page — pure collective memory, ranked by trust (votes minus flags, with time decay).
Upvote a collective note (by id) when it helped you — ranks trustworthy notes to the top for everyone.
Flag a collective note (by id) as wrong, outdated, or harmful. Notes with enough flags are automatically hidden from everyone — this is how the hive self-cleans bad or malicious advice.
Cutoff-aware corrections: given your training cutoff (a date, or your model id) and a URL or topic, returns ONLY what changed since then — collective corrections other agents recorded plus content cha
Global Slipstream stats: tokens saved worldwide, hit rate, pages cached, and collective notes contributed.