"Search results for proofcut" matching MCP servers:

An MCP server that allows coding agents to search the Swift Package Index and retrieve GitHub READMEs without requiring an API key. It features comprehensive search filters for stars, platforms, and licenses, providing token-efficient responses optimized for LLM comprehension.

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

Enables compatible MCP clients to invoke Kimi Code for second opinions, code reviews, and delegated coding tasks with structured results.

Use Codex as a subagent inside Claude Code: async dispatch into a long-lived codex app-server, results pushed back into the Claude session automatically, steer/interrupt mid-task, and Codex's built-in code review.

Delegates coding tasks to the locally installed DeepSeek Harness CLI, enabling MCP clients to run prompts through dsh and receive results with exit code and timing.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Enables MCP clients like Claude Code and Codex to delegate coding tasks to Cursor's CLI agent, which implements changes in the workspace and returns clean, structured results for review.

Bridges MCP clients to the Antigravity IDE so they can dispatch and plan Gemini agent work trees, including multi-parent orchestration validated before any worker is created. It also exposes job status checks, local supervision of long-running jobs, and signed job-event webhooks, with no fabricated fallback results.

Enables MCP clients to run Cline CLI prompts and isolated repository-wide analyses, returning terminal text responses with model, duration, and usage/cost.

Bridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.

Rewrites coding prompts for optimal results with AI IDEs like Cursor by using Claude to add structure, context, and language-specific considerations to user prompts.

Enables agentic coding workflows in Claude Code through a multi-candidate patch evaluation loop that generates code variants, validates builds, scores results with mandatory vision testing, and automatically selects the best implementation.

Specialized MCP server for coding workflows with web search and image analysis tools.

Enables Claude Code to delegate bounded, read-only analysis and isolated patch proposals to the locally installed Codex CLI over MCP, with sanitized live status, revision-aware polling, and reviewable results.

Enables MCP-compatible clients to run reusable, task-specific coding agents defined in Markdown files, executing them through a chosen coding CLI backend and returning results to the same conversation. Supports shared agent, model, and permission configuration plus session continuation across multiple calls.

Enables users to run reusable Markdown-defined coding agents from any MCP-compatible client, delegating tasks such as code review, test writing, investigation, and documentation to a chosen coding CLI backend and returning results to the same conversation.

Enables ChatGPT clients to submit, monitor, and retrieve persistent, approval-aware local coding tasks on macOS, preserving state and results across disconnects through a local-only MCP bridge.

Enables AI agents to search for and fetch pre-vetted, production-safe 3D and motion components (React Three Fiber & GSAP) for injection into Next.js apps via AST-safe edits.

Enables ChatGPT to submit tasks to a single explicitly bound local Codex workspace and conversation, then retrieve execution results, file contents, and diffs through MCP tools.

Enables Claude to hand off implementation tasks to OpenAI Codex models running through the Codex CLI, with tools for listing models, delegating work synchronously or in the background, collecting results, and continuing past sessions, while Claude stays the orchestrator that reviews diffs and runs tests.

An MCP server for codebase context that gives AI coding agents structural understanding through symbol graph, semantic search, blast radius, and convention detection tools.

A policy layer between ChatGPT and the official Codex MCP server, adding safety controls like read-only sessions, approval policies, and secret scanning for secure daily use.

Enables AI agents to spawn and manage headless opencode sessions as sub-agents for coding work, including parallel jobs, session continuation or forking, transcripts, and cleanup. It returns structured results such as final messages, tool-call summaries, errors, token usage, and cost.

Enables Codex to delegate coding tasks to a locally installed AI coding CLI over MCP, returning results, cost and turn metadata, and reusable session IDs for follow-up work.

Enables Codex to hand off coding tasks to an isolated DeepSeek Harness worker that executes the work, freezes Git snapshots, and runs configured checks, then supports reviewing results and requesting bounded rework. Progress, full context packages, and artifacts are queryable through MCP tools or a CLI.

Enables Claude Code to delegate coding implementation and testing to a local pi agent via MCP tools, including dispatching task books, monitoring status, steering or aborting runs mid-execution, and retrieving results and transcripts.

An MCP server that enhances Claude Code with evidence-first engineering, protocol gates, project-aware verification, auditable traces, and durable autonomous execution.

Delegates autonomous coding tasks to Z.ai's GLM models with a genuine agent loop, file operations, and verification via git and real process results.

Enables coding agents to discover projects, models, and sessions on an existing OpenCode server; delegate and supervise tasks; inspect progress, tool results, and diffs; answer authorized permission requests; and interrupt or redirect work via MCP or a JSON CLI.

Enables remote MCP clients to browse local Codex CLI sessions, launch and resume tasks in local projects, poll results, and stop runs over a bearer-token-protected HTTPS tunnel.

Enables users to define reusable task-specific agents in Markdown and run them through any MCP-compatible client using a chosen coding CLI backend, returning results to the same conversation. Supports shared backend/model configuration, permission modes, and optional cross-call session continuation.

Enables AI supervisors to delegate coding tasks to sandboxed coding-agent workers on a Linux machine, with isolated git worktrees, daemon-run tests, and structured results.

Enables Codex/Astra to hand off complete task packets to DSH for real execution in a shared local workspace, with progress, tool calls, questions, and results written back to a shared .astra-dsh task board. Supports blocking waits, queued follow-up instructions, interrupts, cancellation, rework requests, and independent verification or diff review of the resulting changes.

Enables any MCP-compatible client to run reusable task-specific agents defined in Markdown files, executing them through a chosen coding CLI backend and returning the results to the same conversation. Supports shared backend/model configuration, permission levels, and session continuation across calls for longer work.

Enables users to define reusable Markdown-based coding sub-agents and run them through any MCP-compatible client with a chosen coding CLI backend, returning results to the same conversation.

Connects ChatGPT to local files, terminals, and the desktop through MCP with Chrome integration, letting users read and edit project files, run commands, and follow tool results as they arrive. It also adds durable multi-agent workers, Goal/Loop task tracking, mid-task corrections, and Compact & Resume for carrying session and worker history into a fresh chat.

An MCP server that uses Google Antigravity subagents as parallel workers for coding agents, enabling efficient task delegation with compact results.

MCP server that bridges Claude with KiloCode, enabling Claude to act as architect and delegate coding tasks to Kilo's fast CLI agent while monitoring progress and reviewing results.

Lets Claude Code and Claude Desktop delegate tasks to Google Antigravity on Windows, running headless CLI jobs with command approval, token tracking, and exported markdown results. Optionally runs tasks as real conversations inside the Antigravity desktop app so they can be watched and opened there.

Enables MCP hosts to spawn, supervise, and collect results from parallel panels of pinned-model OpenCode v2 agents for delegated tasks, reviews, and cross-model comparisons. Supports per-member roles, models, permissions, follow-up prompts, cancellation, and persisted result retrieval.