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  • A
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    This MCP server is designed for planning with Claude Code, Cline, or Cursor and making changes with Cerebras to maximize speed and intelligence while avoiding API limits. It uses the Qwen 3 Coder model for high-quality code generation and can be embedded in IDEs.
    1
    51
    MIT
  • A
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    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.
    4
    102 PyPI
    41
    MIT
  • F
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    An MCP server that enables local AI models to receive guidance from remote 'senior' AI providers like OpenAI, Anthropic, and Gemini to solve programming problems. It features intelligent multi-turn dialogue management, context synchronization, and automated session history tracking.
    4
    11
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  • A
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    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
    3
    52 PyPI
    67
    MIT
  • A
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    Enables direct MCP-based pairing with T3 Code environments, allowing users to manage environments and projects, start and continue turns, and inspect thread history over stdio without requiring T3 Connect or a local turn CLI.
    6
    22 npm
    MIT
  • A
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    Enables MCP clients to interact with OpenCode 2.x/3.x servers through direct /api/... HTTP routing and ~85 tools spanning sessions, messages, files, config, providers, projects, input, TUI, and workflows. Runs as a zero-dependency, pure-JavaScript stdio bridge with no SDK or build step.
    85
    MIT
  • A
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    This server enables users to control and rewrite the developer instructions and MCP tool descriptions used by T3 Code's review guidance. It allows workflows to dictate the context provided to reviewers, including when to reuse existing conversations.
    1
    MIT
  • A
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    Two MCP endpoints for building cognitive AI agents. /blueprint/mcp serves a 9-chapter architecture blueprint (4 tools). /devops/mcp serves a 7-chapter coding agent playbook (3 tools). Each product has its own Gumroad license key. Free chapters available without auth.
    MIT
  • A
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    Lets MCP clients delegate tasks to the Google Antigravity CLI, including starting and continuing conversations and listing models, while returning structured results over stdio.
    3
    25 npm
    Apache 2.0
  • A
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    A stdio MCP server that lets Claude Code delegate coding tasks to an OpenCode instance (optionally attached to an internal LLM gateway), with follow-up replies, status polling, output/diff retrieval, cancellation, and cleanup handled in a single session. It supports managed or attach modes, sandbox and approval policies, parallel fan-out delegations, and read-only review workflows.
    7
    MIT
  • A
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    Streamlines development workflows through AI-assisted codebase analysis, comprehensive planning, task breakdown with dependencies, and automated implementation verification. Enables systematic approach to complex development tasks like framework migrations and feature implementation.
    5
    21 npm
    MIT
  • F
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    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.
    23
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  • A
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    Enables ChatGPT to work directly on local projects by reading files, editing code, running tests and commands, inspecting Git state, and managing durable workflows, with optional delegation to local Codex agents for complex tasks.
    28
    MIT
  • A
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    Enables an MCP client to delegate coding work to independently configured sub-agent sessions with any connected model, agents, skills, parallel execution, permission controls, and full API access, returning answers, changed files, and costs.
    MIT
  • A
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    Enables ChatGPT to inspect selected local projects, make edits, run commands/tests, and review diffs through an authenticated MCP endpoint backed by a containerized workspace.
    Apache 2.0
  • A
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    MCP server wrapping OpenAI Codex SDK to run Codex agents for code generation, debugging, and more, authenticating via ChatGPT OAuth.
    55 npm
    2
    MIT
  • A
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    Enables Claude Code to delegate tasks to Google Antigravity (Gemini) as an autonomous subagent, including codebase exploration, architecture analysis, multi-file code generation, and technical Q&A, without requiring external API keys.
    MIT
  • A
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    maintenance
    Enables Codex and DeepSeek Harness to hand off work to each other, then track progress, wait for results, cancel running work, and continue the original execution session. Tasks run in a local service independent of the caller, so closing a chat or losing the MCP connection does not stop them.
    MIT
  • A
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    Enables AI agents to develop within a local project workspace by reading and modifying files, running commands and tests, checking Git state, and persisting progress as history sessions that can be restored in later conversations.
    Apache 2.0
  • A
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    A local MCP server that delegates coding tasks to local Qwen and cloud Gemini models, enabling orchestrators like Claude Code to offload routine code generation and receive verified results with automatic correction logging.
    1
    MIT
  • A
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    Transforms your IDE into an autonomous multi-agent coding assistant that orchestrates complex codebase refactoring using LangGraph and LiteLLM.
    3
    MIT
  • A
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    This MCP server enables automated maintenance and code analysis for Python/pytest repositories in isolated Docker environments. It supports read-only investigations, fix-and-verify tasks, and provides full audit trails with SQLite event history and artifact exports.
    MIT
  • A
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    Enables MCP clients to submit code review tasks to locally installed AI coding CLI agents, continue sessions, query progress, handle stop requests, and retrieve results and artifacts using the user's own authenticated accounts.
    1
    Apache 2.0
  • A
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    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).
    MIT