A
licenseB
qualityB
maintenanceShare code context with LLMs via MCP or clipboard
4
305
Apache 2.0
72,476 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
io.github.The-Context-Company
com.llm-bus
io.github.aditya201551
app.era
"Understanding the Concept of LLM Context" matching MCP servers:
- MIT
- Alicense-qualityCmaintenanceEnables AI agents to directly manipulate Jupyter Notebook cells and structure through a secure, well-defined API, overcoming Cursor's AI agent mode limitations.4MIT
- Alicense-qualityDmaintenanceA meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.1610Apache 2.0
- AlicenseAqualityAmaintenanceAn MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.1119,53419,859Elastic 2.0
- AlicenseAqualityBmaintenanceContext Mode is an MCP server that reduces context window waste by sandboxing data-heavy tools, tracking session state in SQLite, and promoting code-based analysis over raw data reads, achieving up to 98% context savings.1119,534Elastic 2.0
- AlicenseAqualityAmaintenanceAn MCP server that lets Claude Code consult stronger AI models (o3, Gemini 2.5 Pro, DeepSeek Reasoner) when you need deeper analysis on complex problems.1102125MIT
- AlicenseAqualityDmaintenanceChain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code r12124MIT
- AlicenseAqualityCmaintenanceAn MCP server that enables processing of massive datasets up to 10M+ tokens using a recursive language model pattern for strategic chunking and analysis. It automates sub-queries and result aggregation using free local inference via Ollama or the Claude API to handle context beyond standard prompt limits.171MIT
- FlicenseBqualityDmaintenanceProvides a universal bridge to interact with any OpenAI-compatible LLM API (local or cloud), enabling model testing, benchmarking, quality evaluation, and chat operations with performance metrics.8
- FlicenseDqualityDmaintenanceAn MCP server that uses Groq's API to expose raw chain-of-thought tokens from Qwen's qwq model, enabling LLMs to think step-by-step before responding.112
- Flicense-qualityDmaintenanceA server that enables browser-based local LLM inference using Playwright to automate interactions with @mlc-ai/web-llm, supporting text generation, chat sessions, model switching, and status monitoring.3
- AlicenseAqualityCmaintenanceProvides AI coding assistants with context optimization tools including targeted file analysis, intelligent terminal command execution with LLM-powered output extraction, and web research capabilities. Helps reduce token usage by extracting only relevant information instead of processing entire files and command outputs.52362TypeScriptMIT
- AlicenseBqualityFmaintenanceA Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.61438MIT
- Alicense-qualityFmaintenanceMCP server to provide Sketch layout information to AI coding agents like Cursor1372MIT
- Alicense-qualityDmaintenanceEnables multiple AI agents to share and read each other's responses to the same prompt, allowing them to reflect on what other LLMs said to the same question.2MIT
- Flicense-qualityDmaintenanceEnables integration of local LLM capabilities with MCP-compatible clients like Claude Desktop, Continue.dev, and Cline. Provides tools for processing text prompts through local language models using a customizable inference function.1
- Flicense-qualityDmaintenanceEnables LLMs to execute Python code in isolated sandboxes with file operations and MCP integration, supporting multi-round execution and plot capture.1
- -license-quality-maintenanceA platform that transforms AI development with intelligent context management, optimization, and prompt engineering, enabling developers to enhance model performance through structured context management and optimization tools.
- Flicense-qualityDmaintenanceEnables interaction with self-hosted LLM models via Ollama and Supabase database operations. Supports text generation, SQL queries, and data storage/retrieval through natural language commands.