"Kit" matching MCP servers:

All-in-one 24-tool MCP runtime and 180-skill library providing protocol-level C4 workflow gates, cognitive reasoning engines, and safe execution for AI coding agents.

Enables local development and prototyping of MCP apps with UI views for Portkey Mission Control, using Durable Object storage and a skill for end-to-end building.

Enables coding agents to query a locally running Kev decision model through MCP tools, returning calibrated probabilities for typed questions such as yes/no, choice, and score.

Enables Codex to delegate scoped tasks to a local DeepSeek Harness over MCP — dispatching read-only reviews or authorized workspace writes, steering and monitoring runs to a terminal state, and returning structured evidence such as changed paths, test results, and assistant text. It also supports exact archival of the terminal session by full session ID.

Exposes a codebase's symbol graph and symbol-aware editing tools to AI agents, enabling targeted symbol lookup, impact analysis, and atomic multi-file edits with reduced context tokens.

Equips AI assistants such as Cursor, Cline AI, and Claude Desktop with software development tools spanning deep research, codebase mapping, context curation, PRD and user-story generation, task management, and fullstack starter-kit scaffolding. It also offers a CLI, interactive REPL, and multi-step workflow execution for planning and building projects from natural-language prompts.

Enables AI coding providers to run structured multi-agent workflows with tracked documents, task claims, action logs, handoffs, and server-owned health evidence.

Transforms Claude into a production-grade pair programmer by orchestrating best-in-class APIs (Morph, Chroma, DSPy) for iterative code evolution to 95%+ quality, semantic codebase search, package discovery across 3,000+ libraries, and pattern learning.

Enables ChatGPT Web Developer Mode to interact with local repositories through MCP, providing tools for file editing, shell execution, Git worktrees, semantic navigation, and checkpoints.

Enforces a git-tracked, code-checked finite state machine that hands control between a planning director and a local Ollama implementor, exposing tools to check phase status, transition states, and run the implementor to execute plan step files one at a time. It enables a project to be planned, implemented step by step with per-step test gating, and validated before completion.

Enables coding agents to inspect live browser runtime evidence, such as blocking elements and interaction surfaces, and to independently verify whether a code fix resolved the issue.