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    Deterministic navigation maps over code AND markdown for AI agents: one MCP server, two lenses (tree-sitter TS/JS/Python + markdown). Map a whole project, read one function or one doc-section, ~99% less context. Merges codelens + docslens.
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    AGPL 3.0
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    A local, detection-first Windows MCP server that groups Device Manager interfaces into physical devices, provides explanations, and enables read-only inspection and update auditing without modifying any devices or drivers.
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    GPL 3.0
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    Enterprise-grade (40m+ lines) codebase intelligence in a zero-setup, private and local MCP: managed indexing, hybrid semantic search, polyglot code dependency graphs, and DB/API/infra knowledge. Benchmark: 61% less tokens, 84% fewer calls, 37x faster than standard AI grep.
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    AGPL 3.0
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    Enables AI assistants to save, search, and manage bookmarks with semantic search, automatic metadata extraction, and optional LLM-powered enrichment, all running locally.
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    MIT
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    Enables LLM agents to search and analyze Elasticsearch logs for errors, detect recurring patterns, analyze error-rate trends, and retrieve full trace context through MCP tools.
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    MIT
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    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
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    MIT
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    Enables LLMs to interact with the IIIT Hyderabad Mess System to manage meal registrations, view menus, and track billing. It supports conversational commands for tasks like cancelling meals, estimating nutrition, and checking account balances.
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    AGPL 3.0
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    A hybrid MCP server that reads UpNote notes from the local SQLite database (returns actual text) and writes/opens notes via the upnote:// URL scheme, enabling search, retrieval, creation, and navigation of notes.
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    MIT
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    Enables AI assistants to interact with the IIIT Hyderabad Mess Management System through natural language, allowing students to view menus, manage meal registrations, check bills, submit feedback, and configure preferences.
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    MIT
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    Portable, auditable, local-first MCP memory for MCP-compatible AI agents and coding workflows. It keeps durable project memory outside the model runtime, compresses continuity into smaller working packs, and carries forward operational state so agents can resume with less repetition.
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    Apache 2.0
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    BotIndex MCP Server gives AI agents searchable access to verified on-chain and off-chain protocol metadata so they can discover, validate, and act on blockchain ecosystem data with less hallucination risk.
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    MIT
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    Lens-MCP is a read-only Postgres MCP server that lets AI agents inspect and query approved database data safely.
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    MIT
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    Enables AI assistants to interact with ManageEngine OpManager for network monitoring and IT operations management. Provides credential-less access to 85+ API endpoints for managing devices, alarms, discovery, dashboards, and reports through natural language.
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    MIT