Serve ExpertPack knowledge packs over MCP with hybrid search, graph traversal and provenance.
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Zed nests stdio servers under context_servers with a command path and args. Zed runs a local process over stdio. The config is JSON and the file to edit is settings.json. MCPpedia currently has 18250 published MCP servers have an install config for Zed. The highest trust scores right now are Repowise at 83, GitHub at 82, Awesome Copilot MCP Server at 77. Open a server and copy the Zed tab, then fill in secrets yourself. MCPpedia never stores those values.
Zed nests stdio servers under context_servers with a command path and args.
settings.json at the path for your OS.~/Library/Application Support/Zed/settings.json~/.config/zed/settings.json%APPDATA%\Zed\settings.jsonEvery server page builds a ready-to-paste JSON config for Zed.
Published servers with an install config for Zed.
Serve ExpertPack knowledge packs over MCP with hybrid search, graph traversal and provenance.
Read-only TikTok Shop Partner API: orders, finance, products and analytics across shops.
Framework-aware technical SEO and AI-discoverability (GEO) audits for your codebase, in your editor.
Scan AI/MCP dependencies, descriptor injection, risky tool inputs and authentication configuration.
MacWhisper transcription for Claude Desktop. Fully local, no cloud, audio stays on your Mac.
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package-lock.json for MCP trust: catch MCP rug-pulls, tool poisoning, and leaked secrets.
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Read QuickBooks Desktop data and, if enabled, make safe changes. Windows only.
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Keep one consistent AI persona across social content.
x402 pay-per-call Solana data + crypto market + JWT/unit utils for AI agents.
Unknown author
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Interact with Microsoft 365 and Office services through the Microsoft Graph API.
D2L Brightspace MCP server: courses, grades, rubrics, feedback, course files, calendar. Multi-auth.
Read, edit and export Dungeondraft maps; convert Universal VTT (.dd2vtt) into Foundry VTT scenes
Read-only library of 24 defensive cybersecurity skills: ATT&CK, ATLAS, DFIR, CTEM and more.
Unknown author
AI agent management: choose what to build, direct every agent from one plan, and learn as you go.
Delegate small coding tasks to local Ollama/llama.cpp models; patches gated by real test runs.
Plan and send approved engagement on social platforms.