"US Government Open Data API Aggregator (FEC, SEC, Congress, Lobbying, USAspending)" matching MCP servers:

Delegate a Cursor task to a real, unattended background OpenCode agent — cheaper model, isolated history — through five small MCP tools.

An open engine that gives AI persistent, reusable UI components with a writable component registry, versioned data storage, and a shell runtime, enabling AI to create, save, and reuse single-purpose apps.

An MCP server that enables AI clients to autonomously discover, analyze, fix, test, submit, and track open-source contributions on GitHub through specialized tools.

An MCP server that enables users to manage Google's Jules AI coding agent sessions directly from MCP-compatible clients. It supports creating sessions, approving execution plans, and interacting with session activity to streamline autonomous coding workflows.

MCP server that automates the generation of production-grade async FastAPI services following Clean Architecture, with self-healing pytest-based verification and OpenAPI spec ingestion for rapid CRUD API development.

A multi-agent system for code rules management using MCP, supporting search, generation, and architectural validation through specialized agents.

Enables Claude or any MCP client to drive the GitHub Copilot cloud agent via its REST API, allowing it to research, edit, and open pull requests on repositories without manual intervention.

This MCP server enables remote control and management of Claude Code agents, allowing you to execute missions, configure agent personalities, and integrate with other MCP tools.

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 coding agents to open files and git diffs directly in VS Code, allowing users to review code changes without leaving their conversation.

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.

Open-source terminal AI agent with 600+ tools, 35 specialist agents, and 20 providers. Plug kbot into Claude Code, Cursor, VS Code, Zed, or Neovim as an MCP tool provider.

Turns product ideas into implementation-ready planning packages including PRD, requirements, user flow, wireframes, data schema, API contracts, and SDK boundaries, with an MCP handoff for coding agents.

An open-source AI-powered development assistant that connects Claude Desktop to your codebase via MCP, enabling semantic code search, AI-assisted editing, and persistent memory without additional subscriptions.

AI-native open-source 2D game engine whose MCP server exposes every editor operation to coding agents as typed commands, so an agent can build, run, and verify a game inside the editor. It runs locally on macOS, Windows, and Linux with no cloud service or API key.

Enables coding agents to manage multiple isolated IDA Pro analysis sessions concurrently through a single MCP endpoint, allowing them to open, inspect, save, and close binary analysis sessions without launching multiple IDA windows.

An open-source MCP server for industrial automation that generates, debugs, and validates PLC code for Siemens S7-1200, serving as a free and customizable alternative to Siemens Eigen Engineering Agent.

A native Visual Studio 2026 extension implementing Claude Code's IDE integration protocol: agent edits open in VS's diff viewer for accept/reject, and MCP servers expose the live debugger (stepping, data breakpoints, attach), Test Explorer runs, and Roslyn navigation with decompile to the agent.

An interactive coding agent and MCP server that provides access to various AI models via the Tsinghua University lab proxy API. It enables users to inspect files and execute shell commands within their local directory using models like DeepSeek, GLM, and Qwen.

Enables hybrid agentic coding by delegating token-heavy implementation, editing, and test-debug loops to local open-source models while frontier cloud models handle architecture and review, reducing premium API token usage and keeping code private.