"Accessing Gmail and summarizing emails from the last day" matching MCP servers:

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

This server lets MCP clients delegate coding tasks to a locally installed Qwen Code CLI, enabling second opinions, parallel work, and clean separation from the main context.

Wraps the Claude Agent SDK as MCP servers, letting you spawn multiple specialized Claude Code agents — each with its own model, tools, system prompt, and personality — from any MCP client.

Prevents coding agents from repeatedly attempting the same failed fix by tracking attempts and blocking further fixes until the agent uses its own web search tool.

Enables MCP clients like VS Code and Copilot Chat to drive the Freebuff coding agent from the editor, with persisted sessions, transcripts, and a safe read-only ask agent by default.

Delegates work from MCP clients (like Claude Code) to the Codex CLI, allowing spawning of autonomous Codex subagents for tasks.

MCP server for the FloopFloop API that lets LLM hosts build, poll, and refine projects from natural language prompts.

Exposes the active file and selection(s) from VS Code to MCP clients, enabling CLI coding agents to access current editor context.

An MCP server that owns the harness: your project's constitution, structure, design rules, requirements and phased tasks. The agent reads it, writes code from it, and may only propose changes to it.

Self-hosted coding agent that runs Claude Code or Codex in your own infrastructure and works from Slack. Exposes codebase investigation, file edits, branch and PR creation, allowlisted command execution, CI status and an audit log as MCP tools, keeping every credential behind the tool layer instead of handing it to the model.

Enables delegating coding tasks to the official Antigravity CLI from any MCP client, with task listing, model selection, streamed event tracking, cancellation, and resumable sessions. Runs each task against an isolated copy of the repository so results can be previewed, tested, and only integrated into the original after explicit user confirmation.

Wraps the cursor-agent CLI to provide cost-effective tools for repository analysis, code search, planning, and editing. Offloads heavy thinking tasks from the host AI to reduce token usage while maintaining precise, scoped workspace operations.

This project aims to build a Claude Code MCP server and implement its associated tools (explain\_code, review\_code, fix\_code, edit\_code, test\_code, simulate\_command, your\_own\_query). The server is implemented using Node.js and the MCP SDK. It receives tool requests from clients via Stdio, dynamically

The server proxies requests from client to JetBrains IDE.

Enables coding agents to check human-stated assumptions against authoritative sources like AWS AppConfig, Sentry, and the repository, detecting when beliefs have drifted from reality. It provides tools to inspect belief history, list verifiable properties, review open drifts, and record verified understanding.

Enables working a ticket's next unit from your own Claude Code session, where an operator plans, a fenced executor edits your checkout, and the judge verdicts against real git facts. Every edit is approved by you, and the loop resumes or survives interruptions until the ticket is ready or a question is raised.

Connects AI coding assistants to the Jules API for autonomous coding sessions. Enables creating and managing coding sessions, GitHub integration, plan approval workflows, and real-time activity tracking directly from your IDE.

Connects AI coding agents to FlutterFlow projects, enabling browsing, inspection, and modification of projects directly from the assistant.

Enables an authenticated persona to run OpenAI Codex coding tasks in an isolated per-user workspace checked out from a configured GitHub repository, with the work committed locally and published to a dedicated work branch. Also exposes task status for the latest run.

Enables dispatching entire autonomous multi-agent engineering swarms directly from IDEs like Cursor and Windsurf via a single MCP endpoint, with streaming progress updates and verified git diffs returned to the editor.