"An overview of REST (Representational State Transfer)" matching MCP servers:

Graph-native bounded working memory for coding agents with typed memories, causal retrieval, current-vs-stale state queries, and compact small-model briefs.

An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.

Enables running one Codex CLI task at a time in an isolated temporary folder, returning Codex's answer and a manifest of produced files for manual review and selective copying.

Provides MCP tools to create, run commands in, checkpoint, and delete durable cloud environments, giving coding agents persistent state between calls.

A single, queryable source of engineering constraints that coding agents consult at code-generation time, exposed over an MCP server.

Drive Elixir terminal UIs headlessly from an agent: start a TUI session, send keystrokes, take structured screenshots, and read TEA model state as MCP resources. Also exposes adaptive-UI recommendation tools and, when raxol_agent is loaded, read-only coding-agent session tools.

Lets AI agents create and drive Claude Code cloud sessions natively over stdio, exposing typed tools to start a session from a task description, queue follow-up messages into an existing session, and check the CLI's sign-in state. Each tool maps to a fixed Claude Code CLI invocation with strict schemas and structured JSON results, so agents never write shell commands or run local sessions.

FROM node:22-alpine RUN npm install -g agentpack-cli WORKDIR /workspace RUN agentpack init ENTRYPOINT ["agentpack", "mcp"]

An MCP (Model Context Protocol) server that enables integration with the Simplifier Low Code Platform. This server provides tools and capabilities for creating and managing Simplifier Connectors and BusinessObjects through the platform's REST API.

MCP server that delegates bounded coding tasks to a server-side agent loop, persisting task state and conversations in SQLite while restricting file and command operations to a guarded workspace.

An MCP server that enables coding agents to run Claude Agent SDK sessions as asynchronous sub-agents, with tools for starting, continuing, and checking status of Claude sessions.

Enables deterministic multi-agent pipelines in VS Code and GitHub Copilot, with 25 specialized AI agents and a 9-stage state machine that prevents hallucinated routing.

MCP server that spawns autonomous Claude Code agents in GitHub repos, enabling task delegation with persistent state, multi-step workflows, and job monitoring.

Orchestrates multiple Claude Code agents across iTerm2 sessions with process-level isolation, enabling collaborative AI development workflows on multiple codebases with task-based inter-agent communication and persistent state management.

An MCP server for managing, editing, and running Stata .do files, integrating with Claude Desktop to enable natural language control of Stata analysis on macOS.

MCP server for the AIMFP paradigm, enabling AI assistants to manage functional programming projects with persistent database state, directive compliance, and task tracking via JSON-RPC tools.

Bridges MCP clients with local Codex CLI to execute autonomous coding tasks, manage threads, and inspect history via SQLite state.

Exposes an MCP toolset that routes each coding task to the cheapest capable model, from a free local LLM up to Claude, while giving clients file, shell, git, web, memory, knowledge-search and parallel swarm-delegation capabilities. Also allows an OpenAI-compatible REST and WebSocket API to be served for non-MCP clients.

Enables an AI coding agent to work through a fixed seven-phase cycle with enforced reflection gates and artifacts instead of jumping straight to code. Supports persistent tiered project memory with confidence decay, task analysis and routing, multi-model answer merging, and pattern-based safety warnings, while keeping cycle state on disk so a new chat can resume where the last one stopped.

An MCP server for orchestrating a fleet of CLI coding agents in isolated git worktrees. It exposes tools for spawning workers, sending instructions, reviewing diffs, and merging changes, with full terminal visibility.

Enables ChatGPT clients to submit, monitor, and retrieve persistent, approval-aware local coding tasks on macOS, preserving state and results across disconnects through a local-only MCP bridge.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

MCP server that lets Claude, ChatGPT, or VS Code build a complete, machine-checked model of your domain and generate an app from it.

An MCP server that lets any MCP-capable agent spawn and drive Claude Code sessions — effectively turning Claude Code into an orchestratable sub-agent fleet.

Enables Codex to delegate scoped tasks to a local DeepSeek Harness over MCP — dispatching read-only reviews or authorized workspace writes, steering and monitoring runs to a terminal state, and returning structured evidence such as changed paths, test results, and assistant text. It also supports exact archival of the terminal session by full session ID.

Enables evidence-gated, multi-session AI coding runs with plan-build-ship state management, coordinating Claude Code and Codex native agents.

Autonomous spec-to-product coding-agent CLI. Its MCP server exposes 34 tools over stdio: project state and task-queue ops, memory retrieve/store, code search, quality and verification reports, repo hotspots/co-changes, and structured findings/learnings.

A YAML-driven workflow guidance MCP server that enables AI coding agents to follow structured development workflows with real-time state tracking and progression control.

Provides AI-powered development assistance with continuous chain-of-thought reasoning (CoConuT), automated task planning and execution, quality validation, and persistent memory of project context and decisions.

Enforces structured, evidence-guided software engineering tasks with cognitive actions (investigate, plan, verify, remember) and persistent state for LLM-based coding agents.