semlith
Local search over your code and documents for AI agents.
CodingLocal
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SylphxAI
A map of your codebase for AI agents: code graph, search, call paths and change impact. No API key.
CodingLocal
Local search over your code and documents for AI agents.
Showing 529–576 of 3,099
A map of your codebase for AI agents: code graph, search, call paths and change impact. No API key.
Evidence-backed codebase understanding with file:line citations, for AI clients over MCP.
Java profiling MCP via jcmd/jfr/jps. Diagnose performance, analyze threads, inspect JFR recordings.
MCP server for Godot game engine integration — control the Godot editor with AI
Build-aware code intelligence for embedded C/C++ firmware — libclang, FTS5, call graphs, 37 tools
Operate a real iPhone from a Mac: screenshots, OCR, taps, typing, opening apps. Needs Zeptap.
Known open GitHub issues in exact npm and PyPI versions, with workarounds, for coding agents.
Human-to-AI code review bridge. Review UI in the browser, AI agents fix code via MCP.
On-demand access to amCharts 5 docs, code examples, and API reference
Bridge AI coding hosts to cursor-agent over the Agent Client Protocol.
Serves Oracle Forms module content (.fmb/.mmb/.pll/.olb) from a directory to MCP clients.
The canonical Python stdlib oracle for AI coding agents — always free, always MIT, token-frugal.
A powerful MCP server for AI-driven Jupyter Notebook management and execution
MCP server for loading authenticated web pages using Chrome DevTools Protocol
Browser automation using the user's Chromium session — JS execution, auth, and anti-bot support.
21 MCP tools for math, randomness, dates, encoding, hashing, and more — deterministic and accurate.
Axe DevTools accessibility analysis and remediation MCP Server for AI coding agents
GitLab MCP (Model Context Protocol) server for AI agents
Versioned scientific models with units and SBML, CellML, Modelica export.
Godot 4 MCP server — test runner, API docs, script analysis, scene parsing, LSP.
Install, launch and control Minecraft: Java Edition clients and servers, also headless.
Deterministic tech stack recommendations, audits, and project estimates. No hallucinations.
Java decompiler MCP server. Explore, search, and decompile JAR, WAR, EAR, and AAR bytecode.
Windows computer-use MCP server for dsh (DeepSeek Harness), client-neutral, 19 tools.
Explore, analyze, and decompile Java JAR files via MCP
Fast semantic code search for AI agents — find symbols, references, and callers across any codebase
Returns the latest package / dependency / tool versions for Python, NPM, Go, Docker, Helm, etc.
Give an AI agent a real .NET debugger: breakpoints, stepping, locals, expression evaluation.
Drive a real iPhone via macOS iPhone Mirroring; Xcode build/test automation for sims and devices.
Lint, measure, and sync AI context files across Cursor, Claude Code, Copilot.
Execute Python code on Google Colab GPU runtimes (T4/L4) from any MCP client
Query your DevExpress XAF app: entities, controllers, actions, rules, Model Editor.
Supply chain risk scoring for npm, PyPI, Cargo, and Go. 9 tools. Behavioral signals.
Fastest iOS MCP server. 40 tools: xcresult parsing, WDA automation, 0.3s screenshots.
iOS MCP server: 49 tools free (58 with Pro), xcresult parsing, WDA UI automation, fast screenshots.
High-performance knowledge graph MCP server for AI coding agents with semantic search.
Ask a codebase a question, get back the source that answers it — every block cited to file:line.
Persistent Python sandbox for token-efficient codebase exploration in MCP clients
Prose linter + AI-slop detector: weasel words, passive voice, hedging, and research-cited AI tells
Stealth browser automation for AI agents — real Chrome, N parallel persistent logged-in sessions.
An MCP server that provides serves MkDocs as resources.
Project memory and a control plane for AI coding agents.
Your agent checks your notes before installing and stops on packages you or your team ruled out.
Reconnect to local Chrome tabs, inspect application challenges, and look up submission receipts.
Context intelligence for AI coding agents: navigation, impact, memory, guarded edits.
Enforces architectural invariants and code quality rules inside your AI agent's edit loop.
Fail reads in web and Electron test apps, inspect recovery, and compare before/after evidence.
