"Agent File Control MCP Server" matching MCP servers:

Provides export-control compliance research and transaction-risk analysis for Korean semiconductor and battery companies, with tools for classifying ECCN, analyzing license exceptions, and drafting export-control clauses.

Agent Ready is an AI agent readability scanner — point it at any public URL and get back a 0–100 score plus per-check remediation hints for every failing check. This package wraps the same engine that powers agent-ready.dev as an MCP server, so Claude Desktop, Claude Code, Cursor, Cline, VS Code, and Windsurf can run scans inline and explain the results.

Provides ServiceNow ITSM tools (incidents, knowledge, CMDB, user lookups) to AI agents, with an evaluation harness that measures tool-selection accuracy, task completion, and latency.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.

Enables AI agents to efficiently process large local and online PDFs through selective extraction of text, images, and metadata. It provides tools for content search and document outline navigation to optimize context window usage.

About MCP server for Google Agent Platform Docs — Google AI + Vertex AI. 3400+ pages searchable by AI agents.

A local-first knowledge base for LLM coding agents that indexes repository documentation, concept ontology, and build targets into Qdrant and exposes retrieval as MCP tools (search, get, list sources, reindex).

Checks the context files a coding agent reads (CLAUDE.md, AGENTS.md, SKILL.md, .cursor/rules) against the git index of a repository, and reports wrong letter case, broken links, missing paths, commands nothing defines and agent configuration that points at nothing. Two more tools report which sections drifted from the code and what each file costs; zero dependencies, stdio, Node 18 or newer.

Provides a structured interface to the Japanese National Diet Library's parliamentary proceedings API, allowing AI models to search and retrieve Diet meeting records and speeches.

CLI and MCP server for AI agent strategy and deployment. Read blueprints, business cases, implementation plans, and specs from your coding agent. 18 tools for listing, retrieving, downloading, and updating blueprints. Exports full implementation specs as Agent Skills directories.

Serves bundled local engineering guidance—four instructions, a control Guide and 20 software engineering procedures—over local STDIO so coding agents can discover and read the right procedure for a task. It is read-only and stateless, leaving all project changes and permissions to the consuming agent.

Enables agents to retrieve indexed Amazon Ads, Seller Central, and Vendor Central knowledge by browsing tags, searching tools, inspecting schemas, and executing chained calls.

Enables coding assistants to access Perplexity AI for quick fact-checking and in-depth research. Provides two tools: lookup for fast documentation queries and answer for comprehensive research with recommendations.

Exposes an agent skill, reference guides, and Blender Python script templates over stdio so AI agents can follow a structured modeling workflow and retrieve validation/export resources. It does not itself control a live Blender scene and must be paired with a separate Blender-control MCP server for live operations.

MCP server that provides AI coding agents automatic access to AGENTS.md documentation from GitHub repositories, enabling understanding of codebase conventions and patterns.

Enables AI agents to spend with the user's own key by paying via USDT TRC-20 and buying Visa/Mastercard prepaid cards, travel eSIMs, and gift cards, and also provides access to policy and how-to documentation.

Enables MCP-aware agents to fetch documentation pages, strip navigation noise, convert HTML to clean markdown, and emit or return timestamped .md files ready for LLM contexts.

Enables comprehensive local file system operations including searching and reading content from various formats like PDF, Office documents, CSV, and text files. It features automatic character encoding detection and secure path validation for directory access.

Enables AI-powered querying and management of documentation through markdown file serving, keyword search, and OpenAI-based Q\&A capabilities. Supports document indexing, analysis, and agent handoffs with rate limiting protection.

Enables agents to load instruction modules on demand from linked git repos, keeping the always-loaded AGENTS.md slim. It syncs each module's repo before reading and returns the module text with the commit it was read at.

Provides comprehensive contextual information about npm packages including README files, versions, dependencies, download statistics, and search functionality. Enables users to explore and analyze npm packages through natural language queries with intelligent GitHub README fetching and branch fallback.

A document conversion server that transforms various file formats (PDFs, documents, images, audio, web content) to Markdown with improved multilingual and UTF-8 support.

Generates, validates, and discovers standardized MCP server cards for automatic agent discovery.

Converts documents (PDF, Word, PPT, images, HTML) to Markdown via MinerU API. Supports URL and local file inputs with OCR, formula/table recognition, and automatic large file handling.

Parse any file or URL into structured text. Extract text from PDF, DOCX, YouTube, web pages, images, and 25+ formats via one API. Tools: parse_url, parse_file, get_youtube_transcript.

Exposes seven MCP tools that let an AI coding agent detect a project's stack, fetch the priority security checks for that platform, search 2,057 OWASP-derived check cards with file-and-commit provenance, and record evidence-backed pass/fail results in a report.

Exposes the codetoprompt library to LLM agents for generating comprehensive prompts from directories and retrieving specific file contents. It enables codebase analysis through detailed statistics like token counts and file type breakdowns.

A server that provides both comprehensive API documentation and direct robot control capabilities for Opentrons Flex and OT-2 robots, enabling users to manage protocols, control runs, and monitor robot health through natural language.

Local MCP server for Kiubi graphic theme integration, exposing tools for documentation, theme introspection, and static file validation to AI agents like Claude and Cursor.