"Definition and usage of the word 'word'" matching MCP servers:

An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.

Plori runs AI agents in Workspaces. A Workspace is a project folder in the cloud. Several agents can work in it at the same time, each on its own copy of the files, and Plori merges their work back into the folder. Every version of the files is kept.

An MCP server giving coding agents context-window-aware code search and safe, atomic multi-file edits — built to cut token usage on large codebases without sacrificing correctness.

Lets Claude Code delegate bounded coding tasks to a GLM model as a sub-agent through a single MCP tool that reads, writes, edits, lists directories, and runs shell commands inside a specified project folder. Each run returns only a short report with changed files and token usage, keeping GLM's intermediate tool traffic out of Claude's context.

Enables delegating local background tasks through an existing Codex or Claude Code subscription login and retrieving their status, answers, and usage.

Delegates work from MCP clients (like Claude Code) to the Codex CLI, allowing spawning of autonomous Codex subagents for tasks.

Connects AI coding assistants to Roblox Studio, enabling direct manipulation of the DataModel through natural language commands with undo support.

Enables coding harnesses such as Claude Code, opencode, and Codex to hand tasks off to Perch AI as an autonomous worker and receive structured results with thread ids, model identity, and token usage. Supports asynchronous job tracking, thread continuation, and cancellation of long-running delegations.

Enables MCP clients to run Cline CLI prompts and isolated repository-wide analyses, returning terminal text responses with model, duration, and usage/cost.

Self-hosted coding agent that runs Claude Code or Codex in your own infrastructure and works from Slack. Exposes codebase investigation, file edits, branch and PR creation, allowlisted command execution, CI status and an audit log as MCP tools, keeping every credential behind the tool layer instead of handing it to the model.

Enables delegating coding tasks to the official Antigravity CLI from any MCP client, with task listing, model selection, streamed event tracking, cancellation, and resumable sessions. Runs each task against an isolated copy of the repository so results can be previewed, tested, and only integrated into the original after explicit user confirmation.

Compare LLM inference costs and find cheap alternatives to OpenAI/Anthropic/DeepSeek. Gonka Network offers an OpenAI-compatible API at up to 6800x lower cost than GPT-4o.

Wraps the cursor-agent CLI to provide cost-effective tools for repository analysis, code search, planning, and editing. Offloads heavy thinking tasks from the host AI to reduce token usage while maintaining precise, scoped workspace operations.

Unified capability catalogue with formally verified cartridges, distributed community hosting, and the Teranga menu system for single gateway access to a vast rabbfe of MCP, LSP, NeSy and related servers.!

Enables finding existing shadcn-format UI components by plain-language description instead of exact names, returning ranked matches with install commands and per-dimension match reasons.

Exposes a local stdio interface that lets a delegating agent create coding tasks, poll status and paginated evidence views (result, diff, log, usage), request rework, and record independent acceptance before closing or cleaning up. Task runs stay on the local machine and execute against DeepSeek or any OpenAI-compatible endpoint in isolated worktrees or locked workspaces.

A local project intelligence, batch coding, and self-learning engine for Codex that enables task-level batch coding, reduces token usage, and automatically learns skills.

An MCP server that provides TypeScript 7 native language server capabilities (go to definition, find references, hover types, diagnostics) to coding agents, using the Go-based tsc compiler for fast and accurate semantic analysis.

A server component of the Model Context Protocol that provides intelligent analysis of codebases using vector search and machine learning to understand code patterns, architectural decisions, and documentation.

Provides Roslyn-based code intelligence for AI coding agents via MCP, enabling efficient navigation and surgical edits of C# solutions.

Enables AI agents to spawn and manage headless opencode sessions as sub-agents for coding work, including parallel jobs, session continuation or forking, transcripts, and cleanup. It returns structured results such as final messages, tool-call summaries, errors, token usage, and cost.

Enables Puck (or any MCP client) to start, inspect, list, cancel, and continue durable Factory Droid tasks on the same host, with idempotent request keys, workspace locking, autonomy/reasoning control, and live authenticated model discovery. It runs without a UI, database, or daemon and inherits the service user's existing Droid CLI login instead of collecting credentials.

Context compiler for AI coding agents that indexes TypeScript codebases to extract and serve only the relevant symbols and files for a task, reducing token usage and search overhead.

Enables coding agents to access project data with tenant-scoped permissions, using the user's own credentials instead of a service account.

Enables MCP-compatible coding agents to run the local Antigravity CLI as a coding agent, manage conversation context and common options, and inspect usage, quota, models, version, help, and read-only slash commands.

Connects AI coding agents to FlutterFlow projects, enabling browsing, inspection, and modification of projects directly from the assistant.

Enables ChatGPT conversations to directly inspect local workspaces and delegate coding tasks to a local Codex agent, with controlled concurrency, reusable sessions, and task/usage tracking.

Exposes DeepSeek Harness agent capabilities over MCP so any MCP client can delegate real coding work to a running agent with its full toolset (bash, filesystem, todo, web). Turns are dispatched asynchronously into sessions and then tracked through status, tail, wait, cancel, compact, and rename tools, with the session log as the source of truth so results survive restarts.

Provides AI-powered development assistance with continuous chain-of-thought reasoning (CoConuT), automated task planning and execution, quality validation, and persistent memory of project context and decisions.

Enables Claude Code, Codex, and Cursor to delegate self-contained coding tasks to one another on the user's own subscriptions, with each task isolated in a git worktree and sandbox, usage tracked, budgets enforced, and results returned for review.