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"Understanding the Concept of LLM Context" matching MCP servers:
- Alicense-qualityBmaintenanceMCP server for multimodal understanding and object grounding (bounding boxes) across images, videos, and documents, with support for multiple AI providers (Zhipu GLM-V, OpenAI GPT-4o, Anthropic Claude, or any OpenAI-compatible endpoint).MIT
- Alicense-qualityCmaintenanceConcept-test your product with synthetic consumers, straight from Claude Code. It turns free-text reactions from roleplayed personas into purchase-intent reports using Semantic Similarity Rating.3MIT
- Flicense-qualityCmaintenanceEnables access to a local Markdown knowledge base via MCP, currently only providing a ping tool.
- FlicenseAqualityAmaintenanceIntegrates Xiaomi MiMo's multimodal API to enable understanding of images, audio, and video through natural language prompts.3
- AlicenseAqualityCmaintenanceProvides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.4MIT
- AlicenseBqualityBmaintenanceAutonomous M2M compliance and trust APIs for AI agents (KYB, OFAC, VAT, Sanctions checking).5MIT
- AlicenseCqualityDmaintenanceAn MCP server that analyzes local or remote GitHub repositories, providing intelligent code context and structure to AI coding assistants.1013MIT
- AlicenseAqualityDmaintenanceAn MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.5Apache 2.0
- AlicenseAqualityFmaintenanceMCP server that provides AI assistants with real-time, current information about AI models from OpenAI, Anthropic, and Google, including pricing, capabilities, and context windows.4MIT
- AlicenseAqualityBmaintenanceBlind multi-model councils with anonymous LLM seats and direct 1:1 chat as a local MCP server. Enables asking one question to get independent answers from multiple model CLIs, then blind scoring and reveal.17AGPL 3.0
- FlicenseAqualityCmaintenanceEnables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.6
- Alicense-qualityAmaintenanceA local-first LLM routing MCP server that keeps sensitive data on your own models, with fail-closed privacy and manager-worker delegation, exposing route and complete tools to any MCP client.MIT
- Flicense-qualityBmaintenanceProvides real-time LLM pricing and availability data as an MCP server, enabling AI agents to make optimal model routing decisions at inference time with cited pricing sources.
- AlicenseAqualityAmaintenanceMulti-modal RAG engine for AI assistants. Stores conversation history, conclusions, diffs, error traces, and other development artifacts in LanceDB with vector search, multi-factor scoring, and an LLM-driven consolidation pipeline.10MIT
- AlicenseAqualityCmaintenanceMCP server that provides tools for evaluating LLM agent reliability, including adversarial task generation, automated LLM-as-judge assessment, and confidence statistics.31MIT
- AlicenseAqualityCmaintenanceAn MCP server that runs curated adversarial prompts against local Ollama models to test guardrails, scoring responses with heuristic verdicts for human review.5MIT
- AlicenseAqualityCmaintenanceServes an LLM-maintained markdown wiki to agents over MCP, providing tools for querying and navigating wiki pages without direct filesystem access.11GPL 2.0
- AlicenseAqualityAmaintenanceAn MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.8MIT
- AlicenseAqualityBmaintenanceA thin MCP server that delegates lightweight tasks from Claude Code or any MCP-compatible client to local or cloud LLMs via LiteLLM, supporting models like Ollama and cloud APIs as subagents.1MIT