#codex

An intelligent MCP server that serves as a guardian of development knowledge, providing Cline assistants with curated access to latest documentation and best practices across the software development landscape

An MCP server to communicated with, use, and wrap the API for the OpenAI Codex CLI tool.

A MCP server for calling MCP tools remotely without requiring installation.

A deterministic context compiler for AI coding agents. Aegis replaces RAG with a Directed Acyclic Graph (DAG) to strictly enforce software architecture and reduce token consumption by up to 12x.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Podcli is an open-source MCP server and CLI that turns long-form podcasts into upload-ready short clips for TikTok, YouTube Shorts, and Reels. It transcribes with Whisper, finds viral moments with Claude or Codex against your show's knowledge base, crops to vertical with face tracking, and burns in captions in four styles. Ships 17 MCP tools you can plug into Claude Code, Claude Desktop, or Codex — ask the agent to "clip this episode" and it handles transcription, clip scoring, and export end to end. Runs fully locally, no uploads, no API keys required unless you opt into AI clip picking. MIT licensed.

One brain, many arms. Spawn multiple specialized Codex agents as MCP servers via the OpenAI Codex SDK. Each instance gets its own model, sandbox, effort, and personality.

An MCP server that scales development into controllable agentic, recursive flows, and build a feature from bottom-up

An MCP server to wrap the OpenAI Codex CLI for use with Claude Code

PubNub MCP Model Context Protocol Server for use in Cursor, Windsurf, Claude Desktop, Claude Code and OpenAI Codex and more!

Works with Claude Code, Claude Desktop, Cursor, OpenClaw, and any MCP-compatible client. The @latest tag ensures you always get the most recent version. Why Agents that integrate with external libraries are flying blind. They read docs (if they exist), guess at APIs, and hallucinate patterns that don't match the actual code. The result: broken integrations, wrong function signatures, outdated usage patterns, hours of debugging. When an agent can actually analyze the source code of a library or service it's integrating with, everything changes. It sees the real function signatures, the actual data flow, the patterns the maintainers intended. Integration becomes dramatically easier and less error-prone because the agent is working from ground truth, not guesses. What Agents Can Do With This - Integrate with any library correctly the first time — "How do I set up authentication with this SDK?" gets answered from the actual code, not outdated docs or training data. Your agent sees the real constructors, the real config options, the real error types. - Migrate between versions without the guesswork — Point your agent at both the old and new version of a library. It can diff the actual implementations and generate a migration plan that accounts for every breaking change. - Debug issues across repository boundaries — When a bug spans your code and a dependency, your agent can read both codebases and trace the issue to its root cause — even into libraries you've never opened. - Generate integration code that actually works — Instead of producing plausible-looking code that fails at runtime, your agent writes integration code based on the real API surface: actual method names, actual parameter types, actual return values. - Evaluate libraries before committing — "Should we use library A or B?" Your agent can analyze both implementations, compare their approaches to error handling, test coverage, and architectural quality, and give you a grounded recommendation. - Onboard to unfamiliar codebases in minutes — Point your agent at any repo and ask how things work. It answers from the code itself, with file paths and line numbers, not from memory that may be months out of date.

100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management

Stop re-explaining your codebase every session. Delimit is the universal governance layer for AI coding assistants — persistent memory, tasks, and policy enforcement that works across Claude Code, Codex, Cursor, and Gemini CLI. 180+ MCP tools across 5 domains: governance (lint, diff, policy, semver), context (memory, ledger, sessions, handoffs), shipping (deploy, publish, rollback, changelog), observability (metrics, logs, alerts, status), and orchestration (multi-model deliberation, agent dispatch, swarm triggers). Core capabilities: 27-type deterministic breaking change detection for OpenAPI specs. Policy enforcement with strict/default/relaxed presets plus custom YAML rules. Cross-model session continuity — switch between Claude, Codex, Gemini, and Cursor without losing context. Multi-model deliberation where AI models debate until consensus. Git hooks, CI gates, and pre-commit governance. Zero-config onboarding with auto-detection of frameworks, specs, and test suites. Free tier includes API governance, persistent ledger, zero-spec extraction, and project scanning. Pro adds deliberation, security audit, test verification, encrypted vault, deploy pipeline, and agent orchestration. Install: npx delimit-cli setup

Undisk MCP: safe file memory for AI agents. AI makes mistakes but with this cloud filesystem every write creates an immutable version. Any file restored in <50 ms. MCP-native.

MCP server for tmux — browse sessions, windows and panes, capture terminal output, and send commands. Force your AI agent to run all commands through tmux for full observability. Works with Claude Code, OpenCode, Cursor, Windsurf, Cline, Roo Code, Continue, Codex, and any MCP-compatible AI assistant.

Free real-time Google Search for AI tools. Returns grounded answers with inline citations and source URLs. Works with Claude Code, Codex CLI, Cursor. Single binary, no API key required.