A
license-
qualityA
maintenanceA lightweight MCP server for semantic search over markdown knowledge bases, enabling AI coding agents to index, search, and answer questions from local markdown documents.
MIT
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"Context compression techniques and methods" matching MCP servers:
- Alicense-qualityAmaintenanceA task-aware context compression layer for Agent workflows, RAG pipelines, and AI Coding assistants, reducing noisy logs, retrieval chunks, and code context into high-signal LLM inputs via CLI, Python SDK, and MCP.376MIT
- Flicense-qualityAmaintenanceAn MCP server serving a curated corpus of thinking techniques for AI agents, with tools to classify intents, find and apply techniques, and verify their effectiveness.
- 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
- 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 local-first MCP server that ingests PDFs, extracts structure, and provides semantic search and sequential navigation tools for AI clients to query and learn from documents.10MIT
- AlicenseAqualityBmaintenanceGive your AI agents access to 8,500+ community curated awesome lists with over 1 million curated resources.25857MIT
- AlicenseAqualityDmaintenanceProvides persistent context management for AI agents by storing and querying semantic information using Upstash Vector DB and Google AI embeddings. It enables semantic search, batch operations, and metadata filtering to help agents retrieve relevant stored knowledge.63MIT
- Alicense-qualityAmaintenanceA unified context layer that connects your local data — repositories, documents, remote machines, and notes — to LLM interfaces through the Model Context Protocol (MCP).3MIT
- Alicense-qualityAmaintenanceAn MCP server that enables AI assistants to manage Context Repo prompts, documents, and collections with semantic search and progressive disclosure navigation.561MIT
- Alicense-qualityDmaintenanceEnables Claude to index and retrieve context from codebases using self-hosted Milvus for semantic search, with hardened reliability and security for production use.191MIT
- Apache 2.0
- Alicense-qualityCmaintenanceAn MCP server that provides persistent, cross-session memory and team knowledge sharing for AI development workflows. It enables project DNA scanning, semantic search, context budgeting, and git-aware indexing to prevent AI context loss between sessions.17MIT
- Alicense-qualityCmaintenanceAn MCP server that enables semantic search over local files or GitHub repositories by indexing content into a serverless vector database, allowing AI assistants to understand meaning rather than just keywords.24MIT
- Alicense-qualityCmaintenanceLocal-first memory server that stores notes, contacts, and future data as a unified entity graph, providing hybrid retrieval (vector + keyword) for AI assistants via MCP.MIT
- Alicense-qualityCmaintenanceMCP server that cuts cloud LLM costs 36-42% by indexing context locally and giving agents precision retrieval tools instead of raw context dumps.87MIT
- Alicense-qualityBmaintenanceYour AI forgets everything between sessions. This fixes that — 98%+ retrieval accuracy, With llm 100% on LongMemEval, 99% token savings. 44 MCP tools. Fully local, zero cost.9215MIT
- Alicense-qualityAmaintenanceAn MCP server that indexes a repository locally and provides keyword, semantic, hybrid, and SQL search tools, enabling coding agents to answer questions about the codebase efficiently without reading files one by one.5118Apache 2.0
- Alicense-qualityAmaintenanceEnables persistent multimodal context storage for LLM agents with thread-based scoping, metadata filtering, and hybrid search capabilities.9Elastic 2.0
- Flicense-qualityDmaintenanceLocal MCP server that provides semantic search (RAG) over code repositories, enabling AI clients like Claude and Gemini to access project context without manual re-upload.