"Pi Network" matching MCP servers:

Enables structural code analysis with worktree-aware index management, supporting explore, search, impact, and more via CodeGraph tools for Pi and OMP.

Delegates bounded coding tasks from MCP clients to the Pi Coding Agent over stdio. Supports review, verification, implementation, and batch operations with long-running task polling.

Provides a read-only interface to audit and continue coding agent sessions by extracting plans, intents, and edit authorship from history across multiple agents (Claude, Codex, OpenCode, Antigravity, Pi) via MCP, CLI, and Python SDK.

Provides comprehensive codebase analysis and semantic understanding through integrated knowledge graphs, enabling AI assistants to understand project structure, patterns, dependencies, and context through multiple analysis tools and format generators.

Enables local language models to request real-time peer review feedback from Google Gemini to improve response quality, accuracy, and completeness through AI collaboration.

Local-first MCP runtime for coding agents with bounded workspace access, content-preconditioned writes, AST search, LSP navigation and diagnostics, and Git status/diff. Designed to give coding agents useful repository access without treating unrestricted shell access as the default integration boundary.

A Model Context Protocol server that facilitates communication between ABAP systems and MCP clients, providing tools for managing ABAP objects, handling transport requests, and performing code analysis to enhance ABAP development workflows.

AI development assistant with 36 specialized tools for memory management, code analysis, project planning, and problem-solving through natural language interactions in Korean and English.

Spec-driven development tool for AI coding assistants that generates specs, validates code compliance, and provides actionable feedback.

Task-adaptive repository context for coding agents, enabling budgeted evidence retrieval without API keys or network calls.

Exposes read-only tools for OPC UA PLC tag monitoring and diagnostics, and enables template-driven, validated IEC 61131-3 SCL code generation with a mandatory human review gate before download.

Local repository intelligence MCP server that builds a reusable graph of code structure for AI coding agents, providing 34 network-free tools for understanding, searching, and analyzing repositories without data leaving the machine.

An MCP server that generates, runs, and triages tests by introspecting Python modules or web pages, using structured LLM outputs for scenario generation and failure analysis.

A TypeScript ESM MCP server exposing 20 public instruction tools and 7 utility tools, backed by 102 internal skills across 18 domain families — from requirements discovery and code quality through governance, resilience, and physics-inspired analysis.

Enables AI assistants to discover, document, and generate React code using the pastel-themed Baby Design UI component library. It provides tools for retrieving design tokens and component specifications to streamline the development of user interfaces.

Enables AI assistants to scan source code for secrets like API keys and passwords locally without network requests.

MCP server that wraps codebase-memory-mcp to provide code indexing, search, tracing, and architecture analysis tools with automatic reindexing after source changes.

Secure multi-source MCP server for reading local, GitHub, GitLab, Bitbucket, and network source code with read-only-by-default access, enabling AI assistants to inspect repositories safely.

MCP server for Project Zomboid mod development, offering tools to search the game's Java API, access vanilla game files, and scaffold/validate mod projects.

A focused Model Context Protocol server for triaging and reviewing GitHub pull requests from Claude Desktop, Cursor, and other stdio-compatible MCP clients.