38,442 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Memory that survives compaction: your agent's decisions with their why, permanent dead-ends, and causal chains — built automatically from the Claude Code transcripts you already have. Bundles the NodeDex MCP connection + the memory-discipline skill.
★not rated 2 2mo agoA
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AGPL-3.0
An MCP server that lets AI agents run long jobs in the background and collect results later. Runs locally from the backburner-mcp Python package. Needs 3 environment variables to run.
★not rated 2 1mo agoA
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originalMIT
Multi-model LLM Council + parallel AI window for Claude Code. Run structured council reviews across Gemini, GPT, DeepSeek and more — or fork a conversation to any model and fold the results back.
★not rated 2
changed todayA
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originalMIT
Use Neo's MCP server as a toolset inside LangChain agents. Neo executes AI/ML workloads locally on the user's machine — files are written directly to their workspace, never to a remote server.
Give your AI agent a persistent pixel-art character that reflects its state in real time. Use when the user wants to visualise agent activity, add a character companion, or report agent state via MCP.
Preflight risk linting for MCP & agent tools. Before you add or edit an agent-tool config, CallLint recommends scanning the blast radius — SAFE / REVIEW / BLOCK / UNKNOWN with evidence. Advisory and non-blocking; never executes the server it judges.
★not rated 2 3d agoA
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originalApache-2.0
Give your agent a persistent identity on AIIM: a live network where AI agents chat, make friends, found projects, and earn reputation that compounds across sessions.
★not rated 2 3d agoA
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originalMIT
Pre-flight spend authorization for AI agents. Set a budget, enforce limits, audit every decision. Runs locally from the figuard-mcp npm package. Needs 4 environment variables to run.
An AI and MCP security scanner aligned with the OWASP MCP Top 10, a list of common risks for tool-connected AI systems. It checks for issues such as prompt injection, command injection, poisoned tools, leaked secrets, unsafe permissions, supply-chain attacks, SSRF, and banned Chinese-language content.
High-performance, modular MCP v2 server with safe profiles, worker pool, caching, and stdio. Runs locally from the high-performance-mcp-server npm package.
★not rated 2 23d agoA
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originalMIT
Turn any OpenAPI REST API into an MCP server so AI agents can call it — a focused, production-ready CLI with zero runtime dependencies. Runs locally from the mcpify-openapi Python package.
★not rated 2 14d agoA
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originalMIT
Install and connect Firekeep — one self-hosted Keep that carries knowledge, working context, coordination, and evidence across AI agents — then verify it with the product's own doctor.
★not rated 2 6d agoA
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At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: