"Kagi" matching MCP servers:

MCP server for the nagi-ledger audit ledger and guardrail toolkit, exposing tools to record and annotate AI agent actions, subagent dispatches, and known dead ends, plus query session reports and statistics.

Shared, code-grounded memory for developers and their coding agents. Capture a learning once and the whole team plus every agent recalls it; memory is grounded in your code and stored as git-tracked JSON reviewed in PRs, with citations validated on write and stale memory withheld from recall. Works with any MCP client.

A task-based AI orchestrator that bridges AI models (Gemini, Claude, OpenAI) with local environments, operating as an interactive CLI and an MCP server for structured autonomous development.

MCP server for ERPNext that provides full CRUD operations, workflow management, custom fields, and DocType management.

MCP server enabling Claude to consult Codex (GPT-5.x) mid-task for second opinions, plan/diff review, brainstorming, and codebase exploration via structured debates and permission-controlled interactions.

Enables finding and resuming past coding sessions in plain English, managing dirty repos, and recovering from crashes, with indexed full-text search across session history.

An MCP server for the IndexNow protocol that lets AI agents instantly submit URLs to Bing, Yandex, Seznam and Naver for fast indexing.

Hosts a Streamable HTTP MCP server that lets Grok connect to Railway by pairing account tokens, then interact with Railway resources through natural language.

Enables LLM agents to search, read, and create GitHub issues and pull requests via natural language, using the GitHub API.

A persistent memory MCP server for AI copilots that automatically surfaces relevant context across sessions, projects, and teams, eliminating the need to repeat information.

Enables users to perform security testing and penetration testing tasks through a Docker-based API that provides access to popular security tools like nmap, nikto, sqlmap, wpscan, dirb, and searchsploit. Designed for educational purposes with input sanitization and non-root execution for safer pentesting workflows.