A
licenseNot graded
qualityD
maintenanceMCP proxy that reduces context usage through semantic tool routing, enabling on-demand discovery and routing of relevant tools.
MIT
77,173 servers. Updated
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"Tool for saving context and understanding repository structure" matching MCP servers:
- AlicenseNot gradedqualityCmaintenanceMCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.1MIT
- AlicenseAqualityDmaintenanceContext window usage estimation for AI coding agents via MCP, enabling proactive state preservation before compaction.11MIT
- AlicenseAqualityBmaintenanceAn MCP proxy that embeds tool definitions and returns only the top-k semantically relevant tools per query, reducing context usage and routing calls to upstream MCP servers.2MIT
- AlicenseAqualityBmaintenanceMCP server providing lossless file reads with deduplication, per-repo token metering, and HMAC-signed context receipts. Enables auditable, vendor-neutral measurement of what an AI agent saw.68172MIT
- FlicenseAqualityDmaintenanceCentral registry for AI tools with vector search and knowledge graph, enabling intelligent tool discovery, chaining, and execution via MCP.12
- 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
- AlicenseAqualityAmaintenanceGraph-based tool retrieval for LLM agents. Builds a tool graph from OpenAPI/MCP specs and retrieves multi-step workflows via hybrid search (BM25 + graph traversal + embedding), recovering accuracy from 12% to 82% with 79% fewer tokens. Also works as an MCP Proxy to aggregate multiple servers behind 3 meta-tools.616MIT
- AlicenseAqualityAmaintenanceAggregator MCP proxy that collapses N downstream MCP servers into 4 meta-tools with progressive tool discovery, and compresses large tool outputs (HTML→Markdown, JSON summarization) with full-output retrieval via read_more and a per-session token-savings report.43701MIT
- AlicenseAqualityBmaintenanceMCP server providing virtual memory for AI context with durable SQLite storage, retrieval, and bounded prompt assembly to manage context windows.16MIT
- AlicenseAqualityDmaintenanceA single MCP server that provides dynamic access to thousands of APIs through discovery and proxy, eliminating the need to install and configure multiple separate MCP servers.412MIT
- FlicenseAqualityCmaintenanceProvides persistent memory, identity, and context for Claude sessions through a memory graph, enabling recall, storage, and relationship management of entities and decisions.8
- AlicenseNot gradedqualityCmaintenanceThis MCP server provides tools to manage, score, compress, and prune AI agent conversation context, helping keep agents focused and reduce token costs. It is a free, local, pure Python solution for any MCP client.MIT
- AlicenseNot gradedqualityBmaintenanceProvides MCP tools to profile and optimize LLM conversation context, identifying token waste and applying deterministic fixes to reduce context window usage.7871MIT
- AlicenseNot gradedqualityBmaintenanceReduces token consumption for AI coding agents by 50-70% through intelligent code context filtering, Git delta tracking, and local SQLite/Tree-sitter indexing.167MIT
- AlicenseNot gradedqualityBmaintenanceAutomatically captures project state on git commits, detects context drift, and delivers structured token-budgeted briefings to AI agents, ensuring project continuity without manual effort.1452MIT
- AlicenseNot gradedqualityCmaintenanceAnalyzes multi-step AI agent tool chains to compute success probability, identify bottlenecks, and suggest better execution orders, enabling more reliable agents via local pure-math computation.MIT
- AlicenseNot gradedqualityAmaintenanceProvides context-aware skill selection for AI agents, reducing token usage by 85-98% and improving accuracy through semantic retrieval, session memory, and feedback learning.MIT
- AlicenseNot gradedqualityAmaintenanceAn event-driven MCP server that enables agents to share context streams, publish and subscribe to events, manage tasks, and follow protocols, keeping a fleet of agents mutually context-aware in real time.1MIT