"All items" matching MCP servers:

Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.

Deep code indexing for AI agents. Search symbols, navigate call graphs, explore inheritance, track git history — all via MCP.

Enables AI assistants to safely interact with local code repositories through MCP tools for search, context building, and workspace management, while keeping all operations local and human-controlled for patch approval.

Enables agents to grade any public GitHub repository, returning overall and category scores plus prioritized fixes, and to list all available checks.

Exposes all major ILSpy CLI features as separate MCP tools for decompiling .NET assemblies, enabling automated end-to-end processing and structured JSON reports.

Enables Dynamics 365 Finance & Operations developers to search, retrieve, and analyze X++ code across a large indexed codebase, with tools for impact analysis, extensions, references, and best-practice validation.

Enables authenticated MCP clients to manage versioned research documents, work items, and immutable notes, and to run scheduled static security audits over selected GitHub repositories through a configured AI provider.

A wingman MCP server for Claude Code that provides auxiliary tools for file summarization, text compression, and diff review to ensure checklist items are not missed.

Enables MCP clients to submit a repository's files and receive one checkable report of which contribution guardrails—DCO, CLA, changesets, and commit sign-off—are present, with supporting evidence and missing items.

MCP server for OpenEdge ABL — pluggable tool architecture with per-project YAML configuration. Provides AI assistants with 24 tools to parse, analyze, lint, document, and scaffold ABL projects.

Enables cross-repository code search over a local mirror of a self-hosted Gitea or Forgejo instance, covering file contents, file paths, and commit messages across all repositories and branches. It also lets users read a single file from the mirror and list mirrored repositories, all without network access during search or read.

Local MCP server to index your codebase once and search it across AI sessions with keyword, semantic, or hybrid search, keeping all data on disk.

Enables offline Android package analysis by loading APK, DEX, JAR, class, and XAPK files to inspect app metadata, manifests, classes, methods, resources, strings, and cross-references, and to export decompiled Java sources through CRUDE MCP-AQL tools.

Enables comprehensive project analysis, intelligent search with regex, multi-file editing with automatic backups, and dependency mapping, all via natural language.

Enables AI coding agents to quickly find relevant code, focus reads on important parts of large files, and pick relevant items from long lists, reducing token usage and search time.

Enables coding agents to generate question-scoped repository maps, inspect symbols and SQL lineage, and audit working-tree diffs for ripple candidates, all verified against the current Git commit.

An HTTP MCP server providing AI agents with real-time access to all VS Code diagnostics (TypeScript, ESLint, Prettier, etc.) via 5 powerful tools including workspace health scoring.

Enables AI coding agents to identify exactly what broke between two dependency versions, with citations for every claim, and to verify package existence to catch typosquatting, all without requiring an API key.

Enables AI assistants to fetch, explore, and analyze source code from any Python package on PyPI, including listing files, reading specific code, and searching packages across all published versions.

MCP server providing configuration file tools for AI agents. Parse, validate, merge, convert, and diff configuration files across all common formats.

Enables AI agents to query language intelligence over MCP, including definitions, references, symbols, and code relationship graphs across many languages, all in one native process with no external language servers.

Local-first MCP server that indexes all projects on your machine and provides coding agents with briefings about each project's stack, services, and run instructions, so they can start sessions with context across all repos. No cloud, no accounts, no telemetry.

Enables AI coding tools to scan projects for security vulnerabilities, hardcoded secrets, injection flaws, and privacy violations with 699 rules and 76 MCP tools, all running locally with zero telemetry.

Indexes Unreal Engine source code into a local database, providing AI coding assistants with deep structural queries like class hierarchies, call graphs, and full-text search across all engine source files.

A semantic code search MCP server that enables natural language queries against your codebase, supporting features like related file discovery and context expansion, all running locally.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

Indexes codebases cut at function and class boundaries into Oracle AI Database 26ai, letting AI coding tools search code by name or meaning, trace callers, callees and change impact, read per-module wiki pages, and recall facts from earlier sessions. All of it is served over the Model Context Protocol with embeddings computed in-database, so no source code leaves the machine and no API key is required.

Helps AI assistants optimize Linux workloads on Arm64 by parsing perf report output, recommending NEON SIMD intrinsics for hot loops, and auditing Python dependency manifests for arm64 wheel availability — all offline and structured.

Enables auditing the AI models and SDKs in a repository, drafting evaluation examples, ranking candidates by cost per passing answer, and generating cheapest-first routing configurations, all through read-only local tools that never make network calls. Also estimates monthly token spend and local weights/KV-cache memory so users can pick and size the cheapest model that passes their own tests.

Enables scanning diffs or code blobs for leaked secrets, returning a verdict with severity and masked findings, all processed locally with no data sent externally.