Best Code Intel AI Skills & MCP Servers

Your AI agent has read your codebase but still can't safely change it. unerr is a local guardrail that hands the agent the call graph and your rules at the moment it edits.

OpenCodeHub — stdio MCP server exposing code-graph + group tools

Call graph analysis — callers, callees, call chains.

CLI/MCP tool providing TypeScript code intelligence via the TypeScript Language Service. Analyze exports, imports, resolve symbols, and check type errors.

MCP server for RepoMap — code intelligence via AST-based repository analysis

Repo memory for coding agents. Local-first MCP for Claude Code, Cursor, Windsurf, and Codex CLI: symbol graph, blast radius, diff-aware review, and git-pinned decisions. MIT; no API keys or code upload.

Code intelligence toolkit for AI agents — extract functions, trace call chains, find callers, detect dead code without reading entire files. Works as MCP server, CLI, or agent skill. Supports JS/TS, Python, Go, Rust, Java.

MCP server for semantic code search and codebase analysis — Treesitter parsing, AST extraction, and embedding-based indexing for any LLM that supports MCP

GraphQL-style codebase intelligence CLI — index, query, and analyze any codebase

Codebase graph analysis for AI agents — AST + call graph + type graph + hybrid semantic search via MCP

Simple Language LSP-MCP bridge — definition, references, hover, symbols, and diagnostics via MCP. Native binary, no Node.js runtime needed.

Graph-powered code intelligence for AI agents. Index any codebase, query via MCP or CLI.

Simple Language MCP server — 99 tools for code intelligence, debugging, build, VCS, and analysis. Native binary, no Node.js runtime needed.

TypeScript Language Server exposed via MCP for AI agents

MCP server for Kai — semantic code intelligence for AI coding assistants

Portable project memory context CLI — bootstraps semantic enrichment workflows for any AI coding agent.

Model-agnostic code memory MCP server. Budget-aware graph retrieval for AI agents — sub-millisecond queries, token budgeting, no embeddings, no API keys. Built on CodeGraphContext for 155-language tree-sitter indexing.

OpenCodeHub — impact, detect_changes, staleness

Symbol lookup in source files — find, get, bulk, body.

Code intelligence MCP server. Indexes your repository into a queryable call graph for AI coding agents.

Fabric MCP server — code intelligence, governance rules, and cloud-sync disaster recovery over a local codebase index

OpenCodeHub — indexing pipeline (12-phase DAG, tree-sitter, language providers)

RoutineCode — Claude Code superset. AI development agent with 59 MCP tools, multi-agent orchestration, domain intelligence, and failure recovery.

HSA - Hierarchical Semantic Analysis MCP Server for AI Code Agents. Token-optimized context engine with BM25+ search, Merkle tree change detection, 84+ built-in library docs, persistent memory, and real-time dashboard.