"Connecting Feishu (Lark)" matching MCP servers:

Enables Claude to explore, analyze, and answer questions about any public GitHub codebase by connecting to DeepWiki's AI-powered documentation.

Enables adversarial code review by connecting Claude Code to OpenAI Codex, iterating until consensus is reached between the two AI models.

Validates and tests llguidance grammars (Lark format), providing grammar validation, batch test execution, and syntax documentation.

Enables code reviews and analysis by connecting Codex to ChatGPT in Chrome.

Enables AI agents to read and understand local Mendix project structure and logic by connecting directly to the .mpr file via MCP. Allows querying microflows, entities, attributes, and modules in read-only mode without requiring cloud access.

Enables static analysis and code smell detection by connecting to an external analysis API.

Provides a hosting-ready FastMCP endpoint for connecting ChatGPT to Apktool-based APK inspection and modification tools, with decoded projects stored temporarily and remote APK import/export requiring a separate mechanism.

Official Model Context Protocol server exposing static AST security tools (audit_mcp_repository, audit_local_directory) to scan MCP tools for vulnerabilities before connecting them to Claude or Cursor.

Enables Codex-powered Git code review by collecting diffs and generating Chinese Markdown reviews with optional Feishu notifications.

Local-first cross-service code intelligence engine for AI agents, connecting frontend, gateways, backend services, and databases to enable impact analysis and change planning.

Read, inspect and navigate codebase symbols by connecting to a Language Server

MCP server inspector that reads a server's published source code and reports findings with file:line evidence, helping users assess what an MCP server does before connecting.

Enables AI-assisted chart analysis, Pine Script development, and workflow automation by connecting to a locally running TradingView Desktop app via Chrome DevTools Protocol.

An MCP server that helps AI agents comprehend a codebase by providing tools for navigating, searching, and understanding code structure and history.

Read-only server that reports what is actually true in a local Ansible checkout: the option specs of installed modules, task-argument validity checks, role interfaces, redacted inventory, play structure, effective config, requirements drift, and which tasks a collection upgrade would break. It lets coding agents verify specs and arguments against the installed collections before writing anything, without running plays, connecting to managed hosts, or supplying vault secrets.

MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.

Enables AI assistants to debug JavaScript and TypeScript applications by connecting to Chrome DevTools Protocol-compatible debuggers, allowing them to set breakpoints, step through code, inspect variables, and evaluate expressions with full source map support.

Scans codebases for AI frameworks, checks EU AI Act compliance, and generates compliance reports, roadmaps, and audit-ready packages.

Enables coding agents to run deterministic, zero-dependency AST static analysis over source code, building call graphs and dependency metrics to find orphaned functions, unreachable methods, breaking API surface diffs, and token-bloat clusters, then return a structured refactoring plan. It plugs into MCP clients like Claude Desktop, Cursor, and Windsurf via a single Python entrypoint.

DORA compliance scanner MCP server that scans projects for regulatory gaps, classifies entities, generates reports, and optionally produces ICT registers and incident templates with cryptographic certification.

ghidraMCP is an MCP server that allows LLMs to autonomously reverse engineer applications by exposing core Ghidra functionality as tools for MCP clients.

Enables coding agents and developers to parse Python source into ASTs and compute complexity metrics that pinpoint refactoring hotspots, dead code, and breaking API diffs. It returns decomposition plans and dependency-graph telemetry over MCP, keeping token usage low with zero external dependencies.

Enables automated analysis of test suite traces to identify timing races and state pollution, helping developers mitigate flaky tests through MCP-compliant clients.

Enables static auditing of EVM Solidity smart contracts to detect critical vulnerabilities such as reentrancy state changes, unhandled external calls, unchecked delegatecall, and tx.origin authentication flaws, producing risk audit reports.

Enables coding agents and MCP-compatible clients to parse multi-file AST dependency graphs and extract minimum context through symbol call-tree slicing. It provides deterministic, zero-dependency execution over JSON-RPC stdio.

Enables AI-powered code review and analysis of asynchronous JavaScript/TypeScript control flow, identifying unawaited promises and race conditions through AST taint-flow tracing and ESLint-style audits within MCP-compliant clients.

Enables whole-program callgraph reachability analysis to locate dead functions and stale flags, and prune unreachable AST branches. It integrates with MCP-compliant clients for deterministic, zero-dependency code review and semantic analysis.

Enables coding agents to analyze Python source with AST-based static analysis, detect circular dependencies across monorepo packages via Tarjan SCC, and produce a topological build order with Kahn's algorithm along with refactoring plans and graph metrics. Runs with zero external dependencies over MCP from Claude Desktop, Cursor, or any compliant client.

Enables AI agents and MCP clients to compute real-time, in-memory unified diffs between versions of live artifacts along with structured change telemetry. It runs as a deterministic, zero-dependency Python MCP server that plugs into Claude Desktop, Cursor, or Windsurf for diff and change-tracking workflows.

Enables coding agents and developers to detect SemVer 2.0 breaking changes by statically diffing Python AST public API surfaces, catching removed exports, parameter reordering, and other incompatible signature shifts. It returns deterministic refactoring plans and dependency graph metrics without any external pip dependencies.