"MyLinedChart - Charting Tool or Library" matching MCP servers:

MCP server connecting Claude/Cursor to Codex CLI, enabling code analysis via @ file references, multi-turn conversations, sandboxed edits, and structured change mode.

Integrates the Atlassian Rovo Dev CLI with the Model Context Protocol, allowing AI assistants to perform deep code analysis using Rovo Dev's large context capabilities. It enables features like repository-wide queries, file-specific analysis, and specialized coding modes through a standard MCP interface.

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

An MCP server that allows Claude Code to interact with the OpenAI Codex CLI.

Enables Claude Code to dispatch opencode CLI tasks as background processes with immediate task handle return, status polling, and result retrieval, avoiding tmux and log parsing issues.

Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.

Provides coding agents with 63+ bounded, verifiable work loops, enabling goal-driven loop selection and executable protocol generation via MCP tools.

a claude code harness engineering tool

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

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.

Tells coding agents what changed in a Python library, in which release, and what replaces it. Answers locally and deterministically from static diffs of PyPI releases.

Lets AI agents create and drive Claude Code cloud sessions natively over stdio, exposing typed tools to start a session from a task description, queue follow-up messages into an existing session, and check the CLI's sign-in state. Each tool maps to a fixed Claude Code CLI invocation with strict schemas and structured JSON results, so agents never write shell commands or run local sessions.

A fire-and-poll MCP server that lets Claude Code run long background jobs without hitting tool-call timeouts.

Enables MCP-capable clients to query the tool registry, check install status, get tool recommendations for CTF or bug-bounty work, and run installed security tools through a governed execution path.

Enables hands-free, voice-driven management of T3 Code projects, threads, agent runs, and pending actions via GPTVoice tool calls.

Self-hosted coding agent that runs Claude Code or Codex in your own infrastructure and works from Slack. Exposes codebase investigation, file edits, branch and PR creation, allowlisted command execution, CI status and an audit log as MCP tools, keeping every credential behind the tool layer instead of handing it to the model.

Provides access to the Superpowers skills library - expert-crafted workflows and best practices that guide AI assistants through proven techniques for coding tasks. Supports both community skills and custom personal skills.

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.

MCP Memory Agent Server - A VS Code chatmode and instruction manager with library integration

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required

Supercharges AI coding agents with semantic code intelligence, providing pre-built knowledge graphs for surgical context, faster answers, and fewer tool calls.

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 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.

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.

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.

Proxy MCP server that translates tool calls into TypeScript code generation, enabling LLMs to orchestrate multi-tool workflows efficiently via code.

Send requests to OpenAI, MistralAI, Anthropic, xAI, or Google AI using MCP protocol via tool or predefined prompts. Vendor API key required. Both STDIO and SSE transport mechanisms are supported via arguments.

Integrates Nautex AI's specification and planning tool with coding agents to manage requirements, tasks, and code generation in small, testable steps.

Provides a find_solution tool that retrieves verified, compressed coding solutions from a curated library and injects them into AI coding agents like Claude Code and Cursor via MCP, improving problem-solving success rates by up to 50%.

Enables running parallel subagents with configurable models and reasoning effort through a single MCP tool, collecting results in subtask order.