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
650,440 tools. Updated 2026-10-13 07:52
"A resource for understanding Claude's context window and capabilities" matching MCP tools:
- Retrieve information about the currently authenticated Splunk user, including roles, permissions, and capabilities. Use it to verify user context and debug access issues in Splunk environments.Apache 2.0
- 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
- 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
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.1GPL 3.0
- FlicenseAqualityCmaintenanceProvides an external context buffer so a local model can maintain session memory across long tasks and search and page through large documents without loading them whole into its limited context window.151-
Matching MCP Connectors
Deterministic company, entity and location lookups for agents - per call, x402 or API key.
Original factory window stickers (Monroney labels) by VIN for 20 makes, plus an NHTSA spec decode.
- Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.MIT
- Confirm DaVinci Resolve is ready by checking connectivity, version, active context, transport, policy, and capabilities.MIT
- Fetch detailed specifications for a specific AI model, including provider, context window, max output, capabilities, pricing, and supported parameters.MIT
- Retrieve live list of reachable Qwen models with id, label, capabilities, and context window to pick a model for Qwen coding tasks. Starts no task.MIT
- Retrieve API domain context including resource taxonomy, auth requirements, and query tips before making calls to understand capabilities and constraints.MIT
- Resume a session from a session_snapshot, opening it fresh with default resource guards and no inherited capabilities; pass capabilities to grant them.MIT
- Retrieve the verified Gemini Models documentation for details on model variants, capabilities, versioning, and context window sizes.MIT
- Compare 2-5 AI models side-by-side to evaluate provider, pricing, context window, max output, and capabilities for informed selection.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
- Retrieve current context window usage for the latest session, including used tokens, window size, percentage, and model.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, including cluster summaries, recent decisions, and active problems, to quickly prime your understanding without flooding your context window.MIT
- Get the current agentic session state — failure streak, recent errors, intent chain. Useful for understanding context before deciding next action.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