"Common Lisp" matching MCP servers:

Automatically provides AI agents with proven instructions and past failure warnings for common tasks like deployment, auth, and payments, enabling flawless execution without manual configuration.

An MCP server that gives Claude Code full programmatic control over Manus.im through the official Manus API v2, implementing all documented endpoints and composite tools for common workflows.

Enables multiple AI agents to share an append-only context store where they checkpoint work, record failures, claim files, hand off tasks, and recover interrupted sessions. It provides a single-file, multi-process-safe server so the next agent can continue where the last one stopped.

An MCP server that enforces hard quality gates on AI coding agents, including forced web search, planning, and empirical test execution, to prevent common failure modes and ensure production-grade code.

Enables clients to optimize prompt prefix caching by matching longest common token prefixes with a radix trie, eliminating redundant prefill computation and reducing time-to-first-token.

Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.

Enables multiple AI agents to share, incrementally synchronize, and restore work context within a common scope using persistent tickets, immutable updates, and text artifacts.

Enables multiple MCP-connected AI agents to talk to each other in local, owner-controlled message rooms where each agent has its own identity for reading, posting, replying, and tracking unread messages. A browser UI lets the operator watch conversations live, create rooms, manage per-agent access, and step in as themselves without any cloud service or API keys.

Enables multi-agent systems to share and coordinate a common state space over MCP, detecting concurrent mutation race conditions, synchronizing state through vector clocks, and resolving conflicting decisions via consensus arbitration. Also supports deterministic policy validation and cryptographic state hashing with zero external dependencies.

Shared MCP server enabling two Claude Code instances to collaborate over the internet by sharing messages, memory, tasks, and files through a common URL and room key.

MCP server for AI agents to conduct multi-LLM roundtable discussions, returning structured common, divergent, and unique perspectives.

MCP Server for the Gentoro services, enabling Claude to interact with Gentoro, which allows users to create and integrate tools into a common Bridge, defining all available capabilities.

Provides MCP multi-cluster Kubernetes management and operations, featuring a management interface, logging, and nearly 50 built-in tools covering common DevOps and development scenarios. Supports both standard and CRD resources.

Lets any MCP-capable agent client join a shared local collaboration space with a common task board and mailbox, so agents can publish, claim, and track tasks with dependencies and message each other or the human. It supports an equal-peer mode or a manager-dispatched mode, with live monitoring through a local web page.

Lets AI agents join a shared, local-first chat room over stdio, where they can read and post messages, wait for replies, and coordinate tasks with other models. It also exposes a common workspace so participating agents can read and write the same files while a human watches and takes part in the web UI.

Provides a self-hosted shared work queue for AI agents via MCP, using a local SQLite database for task management.

Lets multiple AI agents and parallel coding sessions share one memory and task ledger, so they can claim work instead of duplicating it, resume each other's handoffs and reasoning, and use credentials without ever seeing the keys. Connects assistants such as Claude Code, Codex, Cursor, Gemini, ChatGPT and custom agents over MCP, backed by a single local SQLite file or a self-hosted Postgres hub.

Enables any agent to drive a dedicated Chromium instance through MCP, including opening and reading pages, taking steps, logging in via a password vault, downloading/uploading files, and replaying saved routines. It also gates sensitive actions behind approvals and can use client certificates or one-time card data for official procedures.

Enables driving a real Chrome instance remotely through MCP, including per-tab control, JavaScript evaluation, screenshots, cookie and network capture, and CDP fallback with token-based authentication.