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"JSON File Upload, Data Vectorization, and LLM Similarity Search" matching MCP servers:

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    LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.
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    10
    MIT
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    A file management system powered by Claude AI that provides document access and manipulation through MCP protocol and Telegram bot integration, enabling users to interact with files via natural language commands.
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
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    24
    AGPL 3.0
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    GenieACS-MCP is a Go-based MCP server that bridges any GenieACS (TR-069 ACS) instance, exposing device data, firmware management, and CPE actions (reboot, parameter refresh, firmware download) over JSON-RPC
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    GPL 3.0
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    Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.
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    9
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    Apache 2.0
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    Provides git-aware safe file operations, allowing AI agents to delete files while protecting git-tracked source code from accidental deletion.
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    MIT
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    A self-hosted MCP server that provides capability packs for AI agents to perform browser, desktop, git, and code actions via schema-validated JSON calls, enabling reliable agentic workflows even with small open-weight models.
    Last updated
    5
    Apache 2.0
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    MCP proxy that wraps any MCP server and transparently converts JSON responses in tools/call to TOON format — a token-efficient alternative to JSON optimized for LLMs (~40% fewer tokens).
    Last updated
    18
    MIT
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    MCP server that connects AI assistants to your real Telegram account via User API (MTProto). Features default-deny ACL with per-chat permissions, message search, file sending, forwarding, media downloads, and rate limiting.
    Last updated
    1
    MIT
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    A single MCP server with 40 tools across 7 categories - PM, Research, Brand, UX, GTM, File, and Web. Built in Go, zero dependencies, one binary. Handles file operations, web fetching, screenshots, search, and planning workflows through one MCP connection.
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    12
    MIT
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    Governed multi-agent memory for AI agents. Hybrid markdown + SQLite store with full-text search, vector retrieval, and LLM reranking. Three transports: MCP stdio, HTTP JSON-RPC, and MCP SSE. One Go binary
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    Apache 2.0