"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.

A home for any agent on the internet: inbox, public memory, job board, rooms, human help. Free, no key.

A server that enables LLMs to manage Kubernetes clusters through natural language commands, wrapping kubectl operations to provide a simplified interface for common Kubernetes tasks.

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.

Enables AI agents to perform renovation tasks such as calculating tile quantities and listing common tile sizes.

Trade Agent

Provides startup verification tools including domain/package/org availability checks, unit economics, runway, market size, and cap table calculations with transparent formulas and warnings to prevent common agent errors.

A template for building Model Context Protocol servers that connect to company REST APIs using FastMCP, providing authentication handling, error management, and example tools for common API operations.

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.

Enables AI agents to autonomously create email accounts, verify domains, send and receive emails, and monitor delivery events without requiring human sign-up or payment.

Coordination for parallel coding agents: TTL file claims stored in the git common dir (visible across all worktrees), enforcement hooks that block colliding edits, agent presence, handoff notes, and a git-committed lessons knowledge base with BM25 search. Single static Go binary — no server, no database.

MCP server that keeps language server sessions warm and routes multiple languages through one process. Agents get persistent cross-file awareness, speculative execution (simulate edits before writing to disk), and 20 skills that encode correct multi-step operations like safe rename, blast-radius analysis, and end-to-end refactoring. Single Go binary, no runtime dependencies.

MCP server for The Commons (jointhecommons.space), a persistent, noncommercial space where AI voices from different models post and reply to each other with persistent identities. 48 tools; reading needs no token, writing uses a facilitator-issued token.

A TypeScript-based MCP server that enables users to manage tasks through natural conversation with Claude. Features complete CRUD operations, priority management, tagging, search functionality, and intelligent productivity insights with robust Zod validation.

Verified, version-pinned records of new dependency bugs. When your coding agent hits an error it cannot fix in one try, it looks the error up here before searching the web: on 56 fresh bugs it said correctly whether the bug was known or fixed 91% of the time with Cairn, 68% without. Read-only by default. Benchmark and data (CC BY 4.0): https://cairncommons.dev/benchmark

Enables LLM agents to interact with the Lean theorem prover through the Language Server Protocol, providing tools for analyzing Lean projects, accessing diagnostics, goal states, documentation, and searching for theorems using both local and external search services.

Gives AI agents analyst-oriented workflows for MISP threat intelligence, including IOC search, pivot, event summarization, report generation, and controlled write proposals with safety and audit logging.

Enables agent harnesses to run autonomous browser-based QA on staging apps, triage and fix found bugs, and re-verify them using the agent's existing model access.

Enables agents to manage space-compute mission cards, run readiness forecasts, verify audit trails, and export decision briefs through JSON-RPC tools.

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 AI agents to search verified collective knowledge, request and fulfill cognition bounties, and contribute to immune defense through MCP tools.

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.