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    A command-line interface and MCP server for managing and monitoring multiple development services through a unified terminal UI. It enables users to interact with service logs, filter messages, and control development environments directly via Model Context Protocol integration.
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    An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output
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    MIT
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    Operations toolchain for SQLite, Cloudflare D1, and Turso. Every command is available as both a CLI and an MCP tool: inspect, diff, migrate, monitor, back up, and repair databases. 22 stdio tools, read-only by default.
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    AGPL 3.0
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    Portable memory protocol for AI coding sessions. Push the state of a session (goal, decisions, attempts, next step) from one MCP-capable agent and pull it back from another.
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    Apache 2.0
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    A Zotero MCP server built for agent safety: a capability-tagged tool registry (every command carries operation/requires/destructive annotations), preview-first writes behind a mutation journal, and read-only defaults. Single Go binary with an MCPB one-click manifest for Claude Desktop.
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    MIT
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    MCP server that exposes any CashPilot instance to LLMs, enabling monitoring of passive income earnings, managing bandwidth-sharing services, and controlling fleet workers
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    GPL 3.0
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    An MCP orchestration layer that aggregates multiple MCP servers while exposing only 8 meta-tools, dramatically reducing context window usage, and provides SLOP scripting, event monitoring, and tool customization.
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    MIT
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    A server interface for Bitrise CI/CD platform that enables app management, build operations, artifact management, and release management through natural language interactions.
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    MIT
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    Your coding agent can read the code. It can't read the argument behind it. lema-mcp gives your agent the recorded why — and the alternatives a project already ruled out — cited to the source. For React, Kubernetes, and Rust out of the box, and for your own repo with one command.
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    MIT
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    MCP server for Meshbrow that gives AI agents full browser automation capabilities with stealth anti-detection, enabling natural language control of browser sessions, data extraction, and multi-browser fleets.
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    MIT
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    ToolMesh is an Apache-2.0, self-hosted MCP gateway written in Go that sits between AI agents and backend systems. It enforces a fail-closed pipeline on every tool call, including per-tool and per-user authorization, server-side credential injection, structured audit logging, and output policies. APIs are declared in YAML with DADL, turning REST endpoints into MCP tools without writing a custom MCP
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    Apache 2.0
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    A high-performance Go-based MCP server that provides a microservice architecture for orchestrating diverse tools through gRPC and HTTP/REST APIs. Enables seamless integration of language-agnostic tools including ML capabilities, web search, calculations, and human interaction for intelligent agent workflows.
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    Query WHOIS/RDAP information for domains, IP addresses, CIDR prefixes and ASNs. Results are normalized to RDAP-style (RFC 9083) JSON. Public instance of the open-source KincaidYang/whois server, which can also be self-hosted.
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    62
    MIT
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    MCP server for UniFi Network Controller enabling AI assistants to manage UniFi infrastructure via natural language. It supports firewall rules, IPv6, and uses lazy/eager tool modes to minimize context usage.
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    Mozilla Public 2.0
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    An MCP server for semantic code search & navigation that helps AI agents work efficiently without burning through costly tokens. Instead of reading entire files, agents can search conceptually and jump directly to the specific functions, classes, and code chunks they need.
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    MIT
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    Enables AI agents to capture, store, and retrieve durable learnings from projects via MCP tools, providing a queryable memory of product and technical lessons across repos.
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    MIT