MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13.985 servers in dieser Kategorie.
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Enables AI agents to perform code discovery and repository searching in air-gapped or firewalled environments using bundled embedding models and grammars.
Provides a local-only voice runtime for MCP clients using Whisper and Kokoro for speech-to-text and text-to-speech on macOS.
Identifies impacted user journeys from code diffs and runs relevant tests while flagging uncertain or untested paths.
Enables AI clients to perform deep codebase comprehension using a hybrid Graph-RAG approach that combines AST call graphs with vector search.
Enables coding agents to track machine learning experiments and access historical research data to avoid repeating previous team efforts.
Provides durable memory, decentralized coordination, and a knowledge lifecycle for multi-agent AI development across local and remote environments.
Turns conceptual Markdown or plain text into source-anchored knowledge graphs that can be queried, challenged, and visualized with provenance.
Provides a test set of address-specific property records and an answer grader to evaluate AI accuracy in geospatial and official source retrieval.
Provides meaning-first audit tools for AI-assisted engineering work to externalize requirements, plans, and completion evidence as inspectable artifacts.
Maintains a local SQLite relational graph of your codebase to provide structured, low-token context for AI agents during development.
Provides a continuous development environment for Claude Code with persistent memory, project awareness, and session handoff capabilities.
An MCP server that provides an encyclopedia and automation engine for the Chrome DevTools Protocol using Obscura and Camoufox.
Provides local-only text-to-speech for Claude Code and other MCP clients using Kyutai Pocket TTS on macOS.
Provides self-hosted shared memory, encrypted credential management, and scoped service connectors for AI agents via MCP and HTTP.
Inspect Google Analytics 4 properties through data quality audits, funnel analysis, segment comparisons, and property configuration management.
Provides a shared project memory and code graph for coding agents to enable faster navigation and persistent context across sessions.
Teaches how to build secure, scalable, and production-ready AI agents using Python and the FastMCP SDK.
Performs risk feature mining on customer wide tables using adaptive binning, logistic regression, and decision-tree rule mining.
Exposes Adobe VIP Marketplace Partner API documentation as searchable, structured tools for AI clients to query endpoints, schemas, and error codes.
Turns your Obsidian vault into an MCP server that AI agents can read, search, and write to using a filesystem fallback.
