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Glama
453,452 tools. Updated 2026-08-13 19:58

"A resource for understanding Claude's context window and capabilities" matching MCP tools:

  • List installed Ollama models with capabilities, context window, size, and load status. Filter by capability or resident-only, refresh after pulling, and dry-run selectors to see the resolution trail.
    MIT
  • Retrieve detailed specifications for any AI model by its ID, including pricing, context window, capabilities, and request limits to inform model selection decisions.
    MIT
  • Compare LLM model pricing and capabilities across providers. Discover cost savings, context window sizes, and batch/cache support when switching models.
    MIT
  • Retrieve SearXNG instance configuration to discover available search engines, enabled categories, supported languages, and instance settings for understanding search capabilities.
    MIT
  • Retrieve details of the currently authenticated Splunk user, including username, roles, and capabilities. Use to verify user context or debug access issues.
    Apache 2.0
  • Explain code or concepts by providing a snippet or topic with optional context, and receive clear, actionable explanations for learning, documentation, and deeper understanding using GLM.
    MIT

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Matching MCP Connectors

  • Personal finance, bank account, and shared memory connector for Claude, ChatGPT, Gemini Spark & more

  • Free MCP context preflight with local redaction and a paid HTTP upgrade.

  • List capabilities exposed by a specific MCP server instance, including total tool, resource, and prompt surfaces. Use for server-specific exposure instead of integration-level capabilities.
    MIT
  • Fetch detailed specifications for a specific AI model, including provider, context window, max output, capabilities, pricing, and supported parameters.
    MIT
  • Retrieve API domain context including resource taxonomy, authentication requirements, and query tips before using other tools. Start here to understand the Zotero API.
    MIT
  • Explain code snippets by answering specific questions about them, using a local model to avoid token consumption and preserve Claude's context for complex reasoning.
    MIT
  • Filter and retrieve AI models by capabilities, context length, or endpoint from multiple API providers.
    MIT
  • Continue a prior Claude conversation by supplying the session ID and a follow-up question, preserving context on Claude's side.
    MIT
  • Get a ranked, token-capped briefing of key codebase context to prime your understanding at session start, including decisions and active problems, without overloading your context window.
    MIT
  • Fetch the full SKILL.md content for a named skill to access its instructions and context, enabling agents to learn the skill's capabilities.
    MIT
  • Look up pricing, context window, and capabilities for any LLM model. Fuzzy matching identifies models even without exact names.
    MIT