← llmap.ai

INDIVIDUAL MCP TOOL

whats_new

Recent LLM ecosystem events: model releases, price changes, deprecations, license changes.

llmap.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://llmap.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for whats_new and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

  • No write-capable action terms were found; this is not proof that invocation has no side effects.

Parent server

llmap.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.llmap]
url = "https://llmap.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "llmap": {
      "type": "http",
      "url": "https://llmap.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: llmap
Remote MCP URL: https://llmap.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "llmap": {
      "url": "https://llmap.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "llmap": {
      "type": "http",
      "url": "https://llmap.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "llmap",
  "transport": "streamable-http",
  "url": "https://llmap.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

  • check_fit — Check whether a model runs on given hardware: verdict (runs/offloads/wont_fit/hosted), usable context, estimated decode speed.
  • get_hardware — Full spec sheet for a GPU or Apple Silicon chip by slug.
  • recommend_hardware — Recommend hardware for a model, budget, and workload, with fit and speed for each pick.
  • compare_buy_vs_rent — Break-even analysis: buying hardware vs renting hosted inference for a monthly token volume.
  • get_model — Full model card: specs, quants, license terms, benchmark scores, and where to run it.
  • search_models — Search/filter the model catalog by name, size, vendor, modality, license, or what fits in a given memory budget.
  • list_provider_offers — Hosted offers for a model, each carrying its own billingUnit (per_1m_tokens, per_audio_minute or per_1m_characters) — never compare prices across units.
  • get_provider — Provider profile: models served, pricing, endpoint regions, privacy policies.