"Enabling deep research modes in AI tools like Kimi and ChatGPT" matching MCP servers:

Connects Kimi Code with Claude Code, enabling Claude to delegate bulk codebase reading to Kimi (256K context) for cost savings, while Claude focuses on reasoning and code edits.

Bridges MCP clients to Moonshot AI's Kimi Code CLI, enabling file analysis, brainstorming, batch tasks, code reviews, and session management within editors like Claude Desktop and Cursor.

An MCP bridge that enables Claude Code to consult the Kimi AI model in a structured challenge-loop for code review, debugging, and architecture evaluation.

Enables Claude Code to delegate questions and BSL code reviews to a locally installed Kimi Code CLI, running it as a second agent with its own MCP servers and optional neutral profile.

Enables efficient analysis of large codebases using Claude Code and Kimi K2.5 through the Model Context Protocol, with session caching and parallel processing to reduce costs and time.

A Model Context Protocol server for Kimi-CLI that provides semantic project indexing, intelligent code retrieval, and dynamic skill routing to enhance code assistance. It supports incremental indexing, file watching, dependency graphs, git integration, code summarization, REST API, and web UI for managing project indexes.

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

Enables users to conduct evidence-driven product research through MCP by importing documents, extracting JavaScript code clues, recording cited facts and inferences, tracking validation, managing research lifecycles, and exporting Markdown or JSON reports. It provides 25 MCP tools for turning source materials into traceable research findings and verification plans.

Enables evidence-grounded implementation research by searching GitHub, scoring candidate repositories, extracting source evidence, and generating planning artifacts like research and implementation checklists.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for multi-model reasoning, including execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing over large codebases and logs.

Multi-language SAST and AI-powered fuzzing MCP server for Claude Code integration, enabling static and dynamic security analysis of code.

Enables Claude Code and other MCP clients to escalate complex code investigations to Google's Gemini AI for large-context trace analysis, cross-service impact assessment, performance bottleneck detection, hypothesis testing, and multi-turn AI-to-AI debugging.

Enables Claude Code to escalate complex code analysis to Gemini for long-context debugging, execution tracing, cross-system impact analysis, performance modeling, and hypothesis testing, including AI-to-AI multi-turn conversations. It supports analyzing large logs, traces, and codebases by leveraging Gemini's 1M-token context window and code execution capabilities.

Enables Claude Code to escalate complex code-analysis tasks to Google's Gemini AI, supporting multi-turn conversations, execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex analysis tasks to Google's Gemini AI for execution-flow tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing. Facilitates AI-to-AI dialogue for iterative debugging across large codebases and logs.

Enables AI agents to safely read, search, and inspect a local git repository, including PR-style diffs and changed-file summaries. It also supports opt-in allowlisted test runs.

MCP server providing npm registry search, package details, dependency auditing, bundle size estimation, and package comparison tools for AI agents.

A read-only MCP server that gives Codex and other clients a Kimi K3 second opinion through OpenRouter, enabling algorithm review, code review, and project planning.

An MCP server that provides a persistent sandbox for AI coding agents to explore codebases server-side, returning only compact summaries to reduce context consumption.

A Model Context Protocol server that provides tools to find regex pattern positions in files and list allowed directories, enabling text analysis with LSP-like functionality.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

A Python framework that exposes developer tools through MCP, REST API, and CLI from a single shared registry, enabling AI assistants, HTTP clients, and terminal users to access the same tools.

A secure MCP server that exposes local repository context to ChatGPT/Codex with read-only access, path validation, and no generic shell.

A stdio MCP server that queries Commonware blockchain research via NotebookLM, enabling users to ask research questions, get code-backed implementation suggestions, search reference repositories, and validate documents against source code.

Provides documentation generation and analysis tools for AI agents, including JSDoc generation, README analysis, changelog generation, API documentation, and code comment analysis.

Enables Claude Code to delegate complex code analysis to Gemini AI, supporting execution-flow tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and multi-turn conversational debugging.

Enables Claude Code to escalate complex code analysis to Google's Gemini AI for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.

Enables Claude Code to escalate complex code analysis to Gemini for multi-model workflows such as execution tracing, cross-system impact analysis, performance bottleneck detection, hypothesis testing, and AI-to-AI conversational analysis.

Local MCP servers that give Claude Code access to other tools mid-session.

Enables Claude Code to escalate complex code-analysis tasks to Google Gemini for large-context execution tracing, cross-system impact analysis, performance bottleneck detection, and hypothesis testing.