MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,954 servers in this category.
Lets an AI client create interactive widgets, charts, dataframes, and chat dashboards that render as inline HTML app artifacts.
Lets an AI agent create and run self-healing CSV/YAML test automation on Android, iOS, web, smart TV and Bluetooth devices.
Scans agent capability changes in MCP, OpenAPI, and SDK tool surfaces and produces a static Tool-Use Readiness report before merge.
Lets AI clients run scientific research tools through MCP for literature, statistics, figures, manuscripts, and provenance tracking.
Lets an AI client search a categorized directory of MCP servers by keyword, category and live status, and run small Python reference servers.
Provides a coordination layer for AI coding agents to share tasks, memory, and verification records across different tools.
Analyzes relational database schemas and generates RDF/OWL ontologies with SQL mappings for fan-trap-free Text-to-SQL queries.
Lets an AI client authenticate with TikTok Ads and read campaigns, ad groups, ads, performance reports, audiences, and pixels.
Provides AI agents with persistent long-term memory using local SQLite storage and hybrid search.
Provides an AI client with tools for generating pseudorandom and cryptographically secure integers, floats, weighted selections, and secure tokens.
$claude mcp add random-number-mcp -- uvx random-number-mcp
Lets an AI client send a question to multiple LLMs that peer-review and synthesize their answers into one final response.
Searches Google Flights for one-way and round-trip fares between airports, returning prices, durations, stops and times.
$claude mcp add mcp-flight-search -- uvx mcp-flight-search
Run SQL queries and metadata reads against Apache IoTDB time-series databases and export results to CSV or Excel.
Reduces AI coding agent token usage and prevents security leaks by providing focused context through AST slicing and local guardrails.
$claude mcp add tokensafe -- npx -y tokensafe
Turns AWS data sources into portable knowledge bundles and serves them to AI agents via MCP to provide semantic context for datasets.
A framework for measuring the compositionality of RAG pipelines by swapping individual stages and testing statistical significance.
Packages relevant codebase files into a ZIP for AI chats and applies the AI's code changes back to your project using a three-way merge.
Enables LLMs to inspect database schemas and execute read-only SQL queries against CUBRID databases.
Provides a library of auditing methods to monitor, detect failures, and localize mistakes in AI agent runs using configuration, online, and post-run analysis.
Scans Model Context Protocol servers for RCE, path traversal, prompt injection, and protocol vulnerabilities, producing JSON, HTML, or SARIF reports.