MCP servers that give coding agents real developer tooling: linters, package registries, test runners, language docs and local build commands. Bu kategoride 13.985 server.
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Enables AI agents to coordinate and monitor CLI tools like Claude Code and Codex within iTerm2 using a local runner and Python API.
Provides deterministic 3D mesh invariant validation, SHA-256 content verification, and standardized conformance reporting for AI engineering agents.
Provides Git-like rollback and causal tracking for AI agent beliefs using FalkorDB to prevent hallucinations and automate error compensation.
Compiles multi-format API documentation into audited, policy-enforcing MCP servers with built-in write protections and human-in-the-loop approvals.
Turns AI coding assistants into a coordinated team of 63 specialized developers using multi-agent neural infrastructure and AST codebase intelligence.
Enables AI clients to access structured property and zoning intelligence, including parcel searches, development capacity, and site selection workflows.
Provides persistent memory and cross-agent chat search for coding assistants like Claude Code, Codex, and Cursor.
Acts as a security proxy between AI agents and MCP servers to hold risky tool calls for human approval and maintain a verifiable ledger.
Build, design, and evaluate agentic graph and swarm systems using local-first repository intelligence and multi-agent orchestration.
Provides receive-only temporary email inboxes for developers and AI agents to automate testing and verification workflows.
Provides a comprehensive engineering curriculum for transitioning senior software engineers into production-grade AI and agentic systems engineering.
Provides a coordinated index and management utilities for a stack of independent MCP agent tools including browser automation, transcription, and email.
Provides a catalog of official extensions and agent packages for the Mvge engine to extend agent capabilities and runtime profiles.
Provides a vendor-neutral repository template that gives AI coding agents shared instructions, skills, and MCP guidance to prevent vendor lock-in.
Provides a self-hosted development environment that allows AI agents to manage work items, access terminals, and interact with repositories via MCP.
Compiles a repository into a queryable symbol graph to provide AI agents with deep insights into call edges, threads, locks, and dataflow.
Performs stateful differential testing for Model Context Protocol implementations using deterministic traces and controlled failure scenarios.
Provides access to NCI Thesaurus terminology and caDSR metadata through a deterministic MCP server with a local NCIt index.
Provides an automated trust scorecard for MCP servers based on security signals and maintenance activity.
Configures the Antigravity CLI control plane with native extensions, MCP servers, agent skills, subagents, and Serena memory synchronization.
