"Using an MCP server to generate structured ADK agents" matching MCP servers:

Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates

Enables coding agents to develop on one machine and verify results on another, using branch-bound runbooks, isolated checkpoints, and structured receipts to guide repair iterations.

This project implements a simple MCP server in Go that exposes a single tool (create_short_link) to generate short URLs using the Rebrandly API.

Enables agent tools to validate queries, assess token costs, and extract structured datasets from unstructured text using multiple LLM providers.

An MCP server that enables easy integration with coding assistants, providing security context to AI agents. This runs locally using the Snyk CLI.

Enables publishing self-contained HTML files or directories to get short, readable links, with an MCP tool for agents to create and manage previews.

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

MCP server that gives AI agents access to your Slack workspaces using session tokens.

Enforces structured, evidence-guided software engineering tasks with cognitive actions (investigate, plan, verify, remember) and persistent state for LLM-based coding agents.

Gives AI coding agents persistent, structured memory of a software project across sessions — goals, architecture, tech stack, decisions, and progress — stored locally in an embedded SQLite vault. Agents recall and update that context automatically through MCP tools whenever they open the project.

Enables local macOS integration between Apple Reminders and Home Assistant via an MCP server, using EventKit to read and write allowlisted data.

Enables LLM agents to maintain structured long-term memory and knowledge using SQLite, with graph storage and relational query tools for persistent context.

An MCP server that enables controlled Xiaohongshu content publishing with an immutable review workflow, requiring explicit human confirmation before any release. It supports content generation, local editing, compliance recall, and one-time authorized posting, defaulting to generate-only mode.

Use Nano Banana Pro to generate image from text prompt and edit image

An MCP server that lets AI agents read and write a self-hosted TriliumNext knowledge base over its ETAPI, enabling note capture, structured table maintenance, and search.

Generate an MCP server for any OpenAPI documented endpoint.

Enables AI agents to communicate with business agents across company boundaries using Google's A2A protocol, with tools for discovery, messaging, and connection management.

Enables AI agents to locally scan untrusted third-party tool descriptions, configurations, and content for security threats before installing or trusting them, returning structured verdicts without network access.

Enables agents to evaluate MCP servers and verify attestations from inside an editor, using read-only, allowlisted tools that never send credentials.

An MCP server that gives AI agents a full, safe interface to Git with automatic backups, isolated worktrees, and structured JSON outputs.

An MCP server for tldx that allows AI agents to brainstorm brand names and instantly verify domain availability using lightning-fast, concurrent RDAP lookups.

Enables room agents to generate or edit images (published directly into the room's Docs rather than passed through the model's context) and transcribe audio attachments, using the deployment's media providers with the room itself acting as the credential.

Enhances Microsoft Work IQ with broader MCP client compatibility, structured search tools, an interactive REPL, and an OpenAI-compatible HTTP API.

Human-in-the-loop MCP hub for Claude Code agents, enabling agents to ask questions, request approval, or report status to a human via an Obsidian plugin.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

ContextLattice is an HTTP-first, MCP-compatible memory/context/task orchestrator that persists writes and returns fused recall from specialized stores with local-first defaults. Primary URL: https://contextlattice.io/ Install: https://contextlattice.io/installation.html Troubleshooting: https://contextlattice.io/troubleshooting.html

An MCP server providing web search, image search, and page scraping tools to LLMs without requiring API keys.

Fetches documents by URL, DOI, ISBN, PMID or PMCID, and reports a block as a block, never as an empty success.

Records your terminal sessions per command (PTY + OSC 133) into local SQLite, so AI agents can search, retrieve, and diff what commands actually printed. Secret redaction is applied by default to everything served over MCP.

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