MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. 13,967 servers in this category.
Enables AI clients to search, read, and analyze GitHub repositories using local embeddings and version-controlled code snapshots.
Enables AI agents to discover, vet, and select high-quality MCP servers through a deterministic rating system and capability-based search.
Enables AI agents to perform database health checks, query plan analysis, and index tuning on PostgreSQL databases via an authenticated gateway.
Coordinates multiple AI coding agents using declared sessions, file scope locks, and shared decision logging to prevent conflicting work.
Exposes any OpenAPI or Swagger specification as MCP tools to allow AI assistants to search, explore, and execute REST API endpoints.
Turns a codebase into a queryable knowledge base so AI assistants can search code, trace calls, and inspect architecture.
Enables Claude Code to execute tasks via Codex CLI and perform parallel queries across multiple LLMs like GPT, Kimi, DeepSeek, and Qwen.
Performs static analysis on Solidity smart contracts to identify security vulnerabilities and extract contract metadata.
Lets an AI client control a Unitree Go2 robot by translating natural language commands into ROS2 actions.
Provides a local-first memory engine that captures coding agent sessions and distills them into versioned, searchable long-term memory via MCP.
Lets an AI client search and retrieve web crawler data and archives with boolean queries and field filters.
Lets AI agents call 250+ developer tools as Python code through one MCP server, with a proxy for existing MCP servers.
Connects AI clients to a running Blender and Bonsai session to inspect IFC projects, capture viewports, and execute Python code.
Benchmark and evaluate AI coding agents by measuring output quality against token usage and monetary costs across different models and providers.
Connects local coding agents to ChatGPT to allow remote inspection, advice, and steering of active Codex CLI sessions.
Lets AI agents read, understand, and interact with Ignition SCADA projects, tags, scripts, and live gateway data.
Lets AI coding assistants analyze Windows WPR/ETW traces by loading .etl files and answering natural language questions about performance data.
Manages multiple Kubernetes clusters by enabling CRUD operations, context switching, and cluster inspection through an AI client.
Generates, validates, and converts synthetic HL7 v2 messages to FHIR for healthcare interoperability testing.
Provides a Unix-composable CLI to interact with the Logseq local HTTP API for managing pages, blocks, and running Datalog queries.