Retrieve detailed metadata for any AI model, including family, parameter size, quantization, and context length. Optionally specify a provider to filter results.
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730,643 tools. Updated 2026-10-31 21:59
"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP tools:
- List available Forge embedding models with dimensions to select one before embedding.MIT
- Retrieve the complete project context document—including architecture, status, requirements, and roadmap—for any UIForge project using its slug.MIT
- List the curated Code-Fundi chat model catalog, showing providers, required tier, and context length.MIT
- Return a short-lived signed URL to download a completed image or video generation without streaming bytes into the model context.MIT
- Load the current compiled protocol digest and open items at session start to inherit prior context and continue work without losing earlier decisions.Business Source 1.1
Matching MCP Servers
- AlicenseNot gradedqualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Apache 2.0
- AlicenseAqualityBmaintenanceContext Forge is a vendor-neutral continuity layer for AI tools. It stores project context in Markdown and JSON, retrieves task-scoped context, and leaves structured handoffs so another model can continue without being taught the project again.7Apache 2.0
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- Supply extra conversation context without consuming a turn or prompting a question, so the language model can analyze supplementary details mid-session.Apache 2.0
- Find documentation in available docsets using regex patterns. Returns file path, line number, and context lines so you can navigate directly to the information you need.MIT
- Detect your project's tech stack and regenerate AI context files from configuration. Use after framework changes or when context files become outdated to maintain accurate AI assistance.MIT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
- Retrieve all entity types and their attribute counts from the Context Broker to understand the data model before managing entities.MIT
- Compare AI model pricing across Anthropic, OpenAI, Google, Meta, Mistral, and Cohere. Get input and output prices per 1M tokens, context window, and release date in one table to select the cheapest model for your budget and context.MIT
- Retrieve full details for any OpenRouter model, including pricing, context limits, and description. Use this to evaluate model suitability or check specific model information.MIT
- Calculate token count for Gemini AI prompts to estimate costs and ensure they fit within model context limits.Apache 2.0
- Retrieve full details for a single open-source LLM model: parameters, VRAM per quantization, context window, family, tags, license, and URLs.MIT
- Routes coding tasks to the best available model based on complexity, handling code generation, refactoring, and algorithm design with optional system prompts and context.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
- Retrieve a stored conversation by its ID to restore context from past sessions. Returns the full record from local JSON storage, with optional character limit to protect model context.MIT
- Fetch full documentation content from MCP protocol or FastMCP framework URLs. Get complete protocol specs, tutorials, and instructions when search snippets are insufficient.MIT
- Download model artifacts from Kaggle to a work directory by specifying a model version (owner/model/framework/variation/version).MIT
- Fetch detailed specifications for a specific AI model, including provider, context window, max output, capabilities, pricing, and supported parameters.MIT