A
licenseNot graded
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
75,038 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.mifactory-bot
net.alpha-systems
io.github.mehtaphysical13
com.pdf-redaction
"Generating a PDF report with context and images" matching MCP servers:
- FlicenseAqualityCmaintenanceA local RAG MCP server for PDF development experience, enabling document ingestion, semantic search, and Q\&A with source citations using TF-IDF and cosine similarity.3
- FlicenseAqualityBmaintenanceEnables LLMs to access a user's personal writing context—voice, style, opinions, expertise, projects, and communication patterns—via curated markdown files, helping the LLM match the user's voice when generating written content.23
- AlicenseNot gradedqualityDmaintenanceA-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.34MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.1MIT
- FlicenseNot gradedqualityDmaintenanceEnables AI agents to extract PDF text, search with PDF++ citations, access vault files, manage tags, and run Dataview queries in Obsidian via MCP.1
- 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.1119,53419,975Elastic 2.0
- 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
- 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
- AlicenseAqualityBmaintenanceA self-contained, in-memory graph database for AI Agents. Provides semantic code understanding through the Model Context Protocol (MCP).62MIT
- AlicenseAqualityBmaintenanceA reusable MCP server providing shared, versioned context across AI agents and devices via a private GitHub workspace, with tools to discover projects, bootstrap, query, and close out task state.42MIT
- FlicenseAqualityCmaintenanceA local semantic memory and code-indexer that uses AST parsing for structural understanding and persists architectural decisions to help AI assistants bypass context window limits.3
- AlicenseAqualityAmaintenanceDurable project-memory MCP: decisions, constraints, and pipelines across Claude sessions141MIT
- AlicenseAqualityDmaintenanceLong AI conversations fail in predictable ways. Context-First fixes all four: Failure Mode What Goes Wrong Context-First Solution Context Drift AI forgets earlier decisions and intent as the conversation grows context_loop + detect_drift continuously re-anchor every turn Silent Contradiction New inputs silently overrule established facts — the AI doesn't notice detect_conflicts compares every inp81MIT
- AlicenseAqualityDmaintenanceIntelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.9MIT
- AlicenseAqualityCmaintenanceA system for defining, composing, and managing task-specific contexts for AI-powered development, enabling consistent, high-quality results.3391MIT
- 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
- AlicenseAqualityBmaintenanceProvides persistent tool context that survives across Claude Desktop chat sessions, automatically injecting tool-specific rules, syntax preferences, and best practices. Eliminates the need to re-establish context in each new conversation.1031Apache 2.0
- AlicenseAqualityBmaintenanceStores personal context as markdown files and exposes them via MCP for AI assistants to retrieve user preferences, skills, and background.61MIT
- AlicenseAqualityAmaintenanceProvides persistent memory and a codebase knowledge graph for AI coding assistants, enabling shared context across multiple tools like Claude, Cursor, and ChatGPT, with significant token reduction.541MIT