Browse 3,667 Developer Tools & Git — MCP Server Configurations

cambiaghi/LynxMCP MCP server](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP/badges/score.svg)](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP) 🐍 🏠 🍎 🪟 🐧 - Local semantic code search with AST-aware chunking, hybrid BM25 and dense retrieval, and a code knowledge graph over codebases, docs sites and PDFs.

Access and manage LLM application prompts created with Langfuse Prompt Management.

Feedback loop for coding agents: CI monitoring, process watching, file change detection and HTTP polling.

nvim-mcp MCP server](https://glama.ai/mcp/servers/impossiblecode/overseer-nvim-mcp/badges/score.svg)](https://glama.ai/mcp/servers/impossiblecode/overseer-nvim-mcp) 📇 🏠 🍎 🐧 - Runs long-running commands a coding agent starts in Neovim (dev servers, watchers) as overseer.nvim tasks you can watch and stop from your task list.

Exposes the Figma desktop app's Plugin API on the open file: inline renders, design token reading and one undo step per call, without the cloud API.

Version-pinned, offline documentation sourced from DevDocs.io.

mcp MCP server](https://glama.ai/mcp/servers/LumabyteCo/clarifyprompt-mcp/badges/score.svg)](https://glama.ai/mcp/servers/LumabyteCo/clarifyprompt-mcp) 📇 ☁️ 🍎 🪟 🐧 - Turns vague prompts into platform-optimized prompts for AI tools across image, video, voice, music, code, chat and document categories.

niedzwiedzki/visimark MCP server](https://glama.ai/mcp/servers/michal-niedzwiedzki/visimark/badges/score.svg)](https://glama.ai/mcp/servers/michal-niedzwiedzki/visimark) 📇 🏠 🍎 🪟 🐧 - Checks that every computed number in a Markdown document still matches the formula that produced it, and plans — then applies, behind an explicit write gate — the repair, so an agent's correct formula can't ship with a wrong total.

Up-to-date documentation for npm packages, fetched from the latest README in the package's GitHub repository.

annotator-mcp MCP server](https://glama.ai/mcp/servers/mcpware/ui-annotator-mcp/badges/score.svg)](https://glama.ai/mcp/servers/mcpware/ui-annotator-mcp) 📇 🏠 - Annotates any web page with hover labels for AI assistants via reverse proxy injection, without browser extensions.

Structural codebase indexer for querying functions, classes, imports, dependency graphs and change impact.

Generate step-by-step development plans (PROJECT_BRIEF.md, DEVELOPMENT_PLAN.md, CLAUDE.md) using the ClaudeCode-DevPlanBuilder methodology.

Architectural decision governance for coding agents: submit proposals and query canonical decisions and their lineage, while humans keep final authority.

Android and iOS app and device automation, development and app scraping on simulators, emulators and physical devices.

Pharo Smalltalk integration: code evaluation, class and method introspection, package management, test execution and project installation in Pharo images.

Keeps agents grounded in project rules: query coding standards, validate snippets and get task-specific guidance from version-controlled rule files.

Enable a human-in-the-loop feedback workflow in AI coding tools.

scope MCP server](https://glama.ai/mcp/servers/najaeda/naja-scope/badges/score.svg)](https://glama.ai/mcp/servers/najaeda/naja-scope) 🐍 🏠 - Explore elaborated SystemVerilog/Verilog designs (RTL or gate-level netlists) with najaeda: trace fan-in/fan-out, walk module hierarchy and jump to source.

Turn a Spring Boot application into an MCP server by reusing its existing Swagger/OpenAPI documentation.

tech/n8n-mcp MCP server](https://glama.ai/mcp/servers/AutomateLab-tech/n8n-mcp/badges/score.svg)](https://glama.ai/mcp/servers/AutomateLab-tech/n8n-mcp) 📇 🏠 - Generate n8n workflow JSON from natural language, lint for deprecated nodes, missing typeVersion and broken connections, and debug per-node execution failures.

Scaffolds a deployment-readiness harness (redaction, evals from real failures, CI regression gate) into document-QA and extraction projects, and exposes grounding, extraction and readiness checks to agents.

Formats files using .editorconfig rules so AI-generated code follows project formatting standards.

Discover and call API endpoints from OpenAPI specs using semantic search and dependency graphs, planning multi-step workflows without loading entire specs.

Reads TallyPrime for your AI assistant; posts only vouchers you approve. Windows, Apple Silicon Mac.