"All items" matching MCP servers:

An MCP server that lets AI coding assistants delegate work to Capy's cloud agents and wait for results, all within the editor.

Provides per-Subagent MCP controls to any coding agent or client across all your MCPs and prevents context window waste. Loads only 3 tools instead of all your MCP Server's tool definitions. Agents discover tools on-demand, only when needed and only the servers and tools they are allowed.

Enables parallel execution of shell commands and AI coding agents (Claude, Gemini, Codex) across lists of items like files or URLs, with batched processing and real-time streaming output for batch operations.

Allow your AI coding agents to access Figma files & prototypes directly. You can DM me for any issues / improvements: https://x.com/jasonzhou1993 1. Access all figma pages 2. Access all figma components 3. Access figma prototype flows

Transforms any prompt into a fully functional, production-ready product with zero human intervention by providing 150+ autonomous tools covering all aspects of software development.

Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.

Brings all SuperClaude features to Gemini CLI, enabling advanced coding assistance, persona switching, and token optimization.

Vyuha is an MCP server that enables coding agents to collaborate on a repository by providing tools for ticket creation, worktree management, code review, and staged deployment, all from local files.

Connects MCP-compatible AI clients and agents to one durable Project Brain plus controlled access to authorized project folders on your own machine. Enables file editing, terminal and Git operations, project intelligence, browser automation, and local MCP server federation, all scoped to explicit workspace grants.

Enables an assistant to run pi coding-agent tasks in the background: dispatching a task, polling its status and tool trace, reading the final result, and cancelling it when no longer needed, all without pulling the delegate's context into its own conversation.

Governs and manages Qwen Code builder sessions with tools for previewing, starting, inspecting, queuing tasks, and stopping sessions, all within a scoped, redacted environment.

MCP server offering seven paid bounded decision APIs for autonomous coding agents, including diagnosing GitHub Actions failures, classifying flaky tests, auditing skills, and comparing bounties, all settled via x402 Base USDC.

Autonomous game development framework that lets AI agents program, design scenes, and run visual QA on Godot 4.x projects — all through the Model Context Protocol (MCP).

A local MCP server that provides all 42 BMAD AI development skills to multiple AI tools (Claude Code, Cursor, etc.) with project context injection and a live web dashboard.

Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.

Enables conversational management of a small invoicing SaaS — customers, offers, invoices, payments, open items, reports, and exports — while capturing missing feature requests, clarifying and assessing them, producing development offers, and triggering a local coding agent to create draft PRs for human review.

Enables AI coding agents to access and update a shared local database for tracking pull requests and work items across repositories.

An MCP server that provides tools and resources for managing a coding project's todo list, allowing users to view, add, update, and delete todo items with details like priority, status, and tags.

Gnosys gives AI agents persistent, portable, shared memory across sessions and projects. It starts with 14 core MCP tools and can expand in-session to all 56, with 9 LLM providers, federated search, multimodal ingestion, a serverless Web Knowledge Base, process tracing, and Dream Mode consolidation.

Provides AI coding agents a full abap2UI5 development loop—writing ABAP classes, validating views, deploying, and running apps headless with screenshots—all locally without an SAP system.

Enables handing one self-contained job to the Claude Code CLI on the local machine and getting back its final message plus a manifest of the artifacts it produced, without letting Claude write into the user's project. Reads are limited to named directories and all writes stay in a throwaway run directory, so the user reviews the listed files and copies in only what they approve.

Bring Visual Studio-style C# fixes and refactorings to your AI coding agent. Roslyn Code Actions, semantic navigation and reviewable transactions—all running locally.

Enhanced fork of Google's Colab MCP, pre-registers all 7 notebook tools at startup (get_cells, add/run/update/delete/move_cell, add_text_cell), adds programmatic GPU control (T4/L4/A100) via OAuth, and fixes the "Disconnected from local server" issue with IPv4-only bind, PNA CORS headers, and stale-tab dedup. Works on Chrome, Edge, Windows, macOS, Linux.

A fully local, privacy-first MCP server that gives AI coding assistants deep repository intelligence with file-and-line-cited answers, persistent semantic memory, and agentic abilities like task planning and code review—all without any cloud API calls.

All-in-one 24-tool MCP runtime and 180-skill library providing protocol-level C4 workflow gates, cognitive reasoning engines, and safe execution for AI coding agents.

Lets ChatGPT work directly on a local project by reading and editing files, running shell commands and tests, keeping terminals open, and using the user's desktop, all paired with an approved workspace folder. It also splits independent jobs across persistent workers that retain context, while riding the user's existing ChatGPT plan rather than Codex quota.

Enables a primary AI coding assistant to delegate tasks in parallel to specialized CLI-based agents such as Gemini, Claude, Codex, and Cursor, sharing the same project context across all of them. It then aggregates and synthesizes their outputs into a single response, using existing local tools and subscriptions with no extra configuration.

Enables a primary AI coding assistant to delegate tasks to multiple specialized CLI agents (such as Gemini, Claude, Codex, and Cursor) in parallel from a single prompt, sharing project context across all of them. It aggregates their outputs into one synthesized response while relying on the user's existing CLI tools and subscriptions.