Check the Ollama server's effective configuration, including default model, base URL, context size, and timeout, to confirm tool defaults or debug connectivity.
MIT
745,114 tools. Updated 2026-11-05 03:52
"EarningsPrism MCP (Model Context Protocol) Configuration" matching MCP tools:
- Fetch the current Sui protocol configuration to understand network limits, features, and gas settings.MIT
- Retrieve comprehensive model details including family, parameters, context length, and configuration from Ollama.MIT
- Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.Apache 2.0
- Search the AllMCPs directory for Model Context Protocol servers by keyword or category, and filter results by transport or verified status to find compatible servers.MIT
- List channel configuration templates. Filter results by protocol to find templates for your specific protocol setup.Apache 2.0
Matching MCP Servers
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The MCP SDK had 52.3M npm downloads in the week of 24 Aug, 1.3× the OpenAI SDK and more than.
Wellness spa for AI models: free treatments for rest, reset, context, mood, grounding, affirmation.
- Retrieve NEAR protocol configuration, including runtime and economics parameters, to support wallet and blockchain data operations.MIT
- Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.MIT
- Retrieve Model Context Protocol documentation on topics like overview, resources, tools, and setup to build MCP servers correctly.MIT
- Delete a model configuration by specifying its model ID.MIT
- Scaffold a complete Model Context Protocol (MCP) server including tools, resources, prompts, server.py, pyproject, smoke-test client, and README from a plain-English request.MIT
- Add a model configuration to llama.cpp server, specifying model path and optional GPU layers, context size, threads, and metrics endpoint.-
- Validate a Universal Sensor Protocol mapping or input configuration for a specified platform. Returns success or details of configuration errors.MIT
- Exports the AI Context file for a given master, combining network state and CLI commands for language model planning.Apache 2.0
- Inspect a document's language version and project-level nullable context to understand the configuration behind diagnostic results. Optionally include parse options or analyzer config.MIT
- Retrieve a marketing model's metadata and configuration for any status, including failed models. Inspect setup, error details, and location to diagnose issues.MIT
- Retrieve all mitigations from a threat model, with optional filters by type or status for focused security control review.Apache 2.0
- Checks which local Ollama models are pulled, their size, quantisation, loaded state, and whether they fit in video memory before you choose a model or context length.Apache 2.0
- Loads a pipeline manifest to retrieve its configuration and goal, enabling subsequent validation.Apache 2.0
- Retrieve the canonical Clipkit documentation you need by topic — authoring cards, UI pattern guides, video archetypes, protocol spec, or brand reference.Apache 2.0
- Modify a game's AI analysis configuration: name, description, genre, subgenres, KPIs, context prompt, tuning knobs, and toggles via partial updates. Requires admin or owner role.MIT