"Boeing Financial Reports" matching MCP servers:

Enables an external AI agent to delegate tasks to a local Claude Code installation and receive structured reports, with code modifications governed by a plan-approval-execution workflow and direct file and git operations available outside that loop.

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.

An MCP server exposing hybrid RAG search over SEC 10-K filings and an AI bug-fixing agent as callable tools, enabling MCP clients like Claude Desktop to query financial documents and propose test-verified code fixes through natural language.

A multi-AI MCP server that orchestrates 37 specialist agents across 9 AI tools to measure and improve code quality with session impact reports and quality gates.

Enables STDIO-compatible AI assistants to queue coding work onto the official Google Antigravity CLI and track status, read reports or patches, query capabilities, or cancel running tasks without blocking. Supports trusted direct execution plus optional isolated or read-only modes depending on the platform.

Provides autonomous codebase exploration through a plan-execute-reflect-report pipeline, generating onboarding reports with file:line references. Exposes both a high-level investigation tool and low-level read-only file access tools via MCP.

Enables an AI assistant to work directly with a Minecraft mod project: reading, patching and searching code, running Gradle builds and the Minecraft client, and analyzing logs and crash reports. It also provides GUI automation such as game and IDE screenshots, window focus, keyboard and mouse input.

An autonomous AI development agent that enables full-stack coding, automated verification, RAG-powered code search, and quality assurance through MCP tools. Supports Gemini CLI, Claude Code CLI, with features like parallel verification, security scanning, and spec-driven development.

Bridges MCP clients such as Claude Code and Cursor to independent Codex app-server sessions, letting them start, poll, steer, review, compact, cancel, and answer prompts for asynchronous Codex tasks over local stdio or a remote authenticated WebSocket. Runs read-only by default, with workspace-write sandboxing only when a user explicitly enables it, and reports job status, model listing, and progress back to the client.

Runtime governance and budget guardrails for Claude Code, Cursor, and autonomous AI agents. Enforces per-session spend caps, verifier safety gates, and runaway loop prevention.