LLM Provider Intelligence

org.memoryapiPublished by memoryapi.orgOfficial publisherv1.0.0Updated Oct 25, 2026

LLM provider intelligence: recommendations, pricing, and status

The publisher's own server: AI/ML Research Papers

VerifiedStreamable HTTPWeb executableData & AnalyticsAI & ML

Overview

AI-generated overview

A remote MCP server that helps an assistant recommend LLM providers, compare their capabilities and pricing, and check their operational status.

What you can do
Recommend LLM providers for a specific agent task, returning ranked top picks with reasoning and agent scores for each provider, filtered by requirements, and check operational status and recent latency for one or all providers.
When to use it
Useful when choosing which LLM provider or model to build an agent on, comparing providers by capability, price and agent scores, or checking whether a provider is currently healthy before relying on it.
Requirements
A remote streamable HTTP endpoint; no packages, environment variables or headers are declared, and no authentication is declared.
Before you install
Recommendations and status data come from a third party and may be incomplete or stale; verify pricing and availability with the provider before committing. No credentials are requested by the declared configuration.

Installation

In SourceWeft

  1. Open LLM Provider Intelligence in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/org.memoryapi%2Fintel/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "llm-provider-intelligence": {
      "type": "http",
      "url": "https://intel.memoryapi.org/mcp"
    }
  }
}

Tools

3

recommend_llm

Get the best LLM provider for your specific agent task. Returns top 3 ranked recommendations with reasoning.

Parameterstaskprioritymin_contextrequire_tool_callingmax_price_per_million

list_providers

List LLM providers with their capabilities, pricing, and agent scores. Filter by specific requirements.

Parametersbest_formax_pricex402_nativetool_calling

check_provider_status

Check operational status and recent latency for one or all LLM providers.

Parametersprovider

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

72% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listedRequired15 pts
  • DescriptionRequired15 pts
  • Logo10 pts

    Publish an icon in the registry entry.

  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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