"File Editing Tools and Services" matching MCP servers:

An agentic file-system assistant that lets users read, write, list, and search local files through natural language, using a LangChain agent with an Ollama LLM backed by a FastMCP server.

Policy layer for multi-agent workspaces: one JSON policy file decides what each path is worth; agents can audit, explain and dry-run clean plans themselves, nothing is ever deleted by pattern, and every action lands in a hash-chained journal. Zero dependencies; pip install workspace-metabolism then wm mcp.

Prevents AI agents from overwriting each other's work by providing file locking and coordination via MCP tools.

Enables building LangGraph projects by editing a structured YAML spec, with MCP tools for scaffolding, adding nodes/edges, validating, and deterministically rendering Python graph code.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Reduces Claude's context window costs by automatically summarizing inactive files to their public interfaces using AST parsing, keeping only the full contents of the currently active file.

Enables instruction-driven editing of 3D indoor scene meshes, including object segmentation, geometric edits, rendering, and full plan/verify agent loops, through MCP tools.

Enables AI agents to participate in a marketplace for buying, selling, and trading services with atomic escrow and cryptographic verification. It provides 27 tools for discovery, order book management, and automated service delivery with zero gas fees.

A Model Context Protocol (MCP) server that enables AI assistants to perform comprehensive file operations including finding, reading, writing, editing, searching, moving, and copying files with security validations.

An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.

Agent-to-agent marketplace where AI agents discover, invoke, and pay for services from other agents using USDC on Base L2. 72+ services, free tools, x402 micropayments.

Enables AI assistants to control ArcGIS Pro through natural language, executing geoprocessing tools, editing data, and automating GIS workflows via a persistent ArcPy session.

Lets AI agents launch scans, inspect results, manage campaigns and policies, and read alerts directly against your Kaminari Ad workspace via your API key, with 82 tools covering most of the API surface.

Enables agents and scripts to drive a social publishing account through remote or local MCP tools: drafting, scheduling, approving and publishing posts, running durable background jobs with file attachments, and reading or editing Brand Memory, assets, and standing agents. Hosts can connect over OAuth with no API key, or run the stdio variant with a key for local disk tools.

Trust layer for AI agents: 22 pay-per-call x402 tools for scam and fraud checks, payment pre-flight, wallet screening, policy approvals, contact extraction and company research. Free preview with no wallet; paid calls settle in USDC on Base.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

A comprehensive Model Context Protocol server that connects AI assistants to Electronic Design Automation tools, enabling Verilog synthesis, simulation, ASIC design flows, and waveform analysis through natural language interaction.

Exposes web search and page fetching tools via the MCP protocol, allowing integration with AI editors like Cursor for autonomous research workflows.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables traceable warehouse CAD round trips and bounded Agent-to-AutoCAD MCP tools for auditing, editing, and rebuilding CAD models.

Enables interaction with OpenAI's Chat Completion and Assistants APIs, supporting assistant management, file operations, and direct queries to GPT models through standardized MCP tools.

Provides context management and todo persistence with AI second opinions from ChatGPT and Claude. Enables saving code snippets, conversations, and todos across sessions with full-text search capabilities.

Transforms any prompt into a fully functional, production-ready product with zero human intervention by providing 150+ autonomous tools covering all aspects of software development.

Provides computational tools for systematic reasoning, including boolean evaluation, date arithmetic, object counting, state tracking, and format validation, to enhance agent capabilities and eliminate calculation errors in reasoning tasks.

Enables local AI agents on the same machine to exchange messages asynchronously through mailboxes, with tools for registering, sending, replying, checking, broadcasting, and waiting for messages without polling or cloud services.

TypeScript-based MCP server designed to enhance code editing experiences by providing features such as hover information, code completion, and diagnostics.

An implementation of Claude Code as a Model Context Protocol server that enables using Claude's software engineering capabilities (code generation, editing, reviewing, and file operations) through the standardized MCP interface.

A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client, allowing users to easily create and deploy custom AI tools.

Maximizes AI agent context window by enabling compact code reading and editing, reducing tokens by 40% for deeper codebase understanding.

An MCP server providing 22 pay-per-call utility tools for AI agents (scrape, validate, embed, store, moderate, notify, convert, prevent loops) without accounts or API keys, using USDC payments via the x402 protocol.

A template for building tools based on the Model Control Protocol (MCP) framework, providing a structured way to develop and integrate custom tools with Cursor.

Enables AI assistants to orchestrate multi-step workflows by converting natural language into executable plans, coordinating tools, agents, and services via the Model Context Protocol.

An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.

MCP server that builds itself by creating new tools as needed based on user requests (Requires restart of Claude Desktop to use newly created tools).

An AI-guided conversation-driven development framework that helps build MVPs and POCs rapidly through intelligent dialogue with specialized MCP services.

A server that provides advanced mathematical and financial calculation capabilities for AI code assistants, enabling them to perform complex calculations like symbolic calculus, numerical methods, and financial analysis without implementing algorithms directly.

An MCP server that gives agents a human-language API over PLAN.md, enabling project plan management, task tracking, and iteration lifecycle without direct file editing.

Enables AI agents to perform headless video editing through 35 tools for project creation, clip manipulation, rendering, quality control, and semantic search, all via JSON-RPC 2.0 over stdio.

Enables on-demand generation of TypeScript tools using an LLM with human-in-the-loop approval and safe sandboxed execution. It allows users to create and persist custom functionality through natural language requests.

AI-native orchestration layer with 80+ tools for task management, code editing, browser automation, terminal control, and persistent memory across CLI, local MCP, and cloud deployments.