Obsidian Mcp Pro
The most feature-complete MCP server for Obsidian vaults — 23 tools + 3 resources for search, read, write, tags, link analysis, graph traversal, and…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2703 servers · Page 196 of 226
The most feature-complete MCP server for Obsidian vaults — 23 tools + 3 resources for search, read, write, tags, link analysis, graph traversal, and…
Your own LinkedIn, WhatsApp, Instagram, Telegram, Email and Calendar accounts, usable from any agent — search, read and act on your own accounts.
Local-first persistent memory for Claude Code & Codex CLI - Rust CLI, hooks, MCP server, SQLite/SQLCipher, auditable recall for long-running coding…
Formula workbooks for Node services: edit inputs, recalculate formulas, read outputs, persist WorkPaper JSON, and expose MCP tools.
Tyton MCP is a hosted MCP server from Tyton that lets an AI coding agent audit a website's Meta Pixel and Conversions API tracking…
IMAP/SMTP email for AI agents -- read, send, organize folders, and manage attachments across multiple accounts, with auto-discovery.
PIL — Personal Instagram Library: an installable Muse skill that turns your Instagram saved posts into a private, queryable knowledge base.
Unified MCP server for App Store Connect & Google Play Console — 91 tools for listings, screenshots, releases, reviews & submissions.
Your ADRs are lying to you. MCP server with live drift detection, content safety, and decision memory — validates architectural decisions against… 7 tools…
MCP server for Outlook email, calendar, and contacts — let your AI assistant manage your inbox directly from the conversation.
Project context your AI can query through MCP — with source evidence.
MCP server for AI coding agents - gives Claude Code, OpenCode, Cursor, and Codex CLI structural understanding of your codebase: symbol graph, blast…
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.