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From Microsoft: converts PDF, Word, Excel, PowerPoint, HTML and other files or URLs to Markdown so agents can read and search them. A single convert_to_markdown tool over STDIO or local HTTP.

Gives agents long-term memory across sessions with a local knowledge graph of entities, relations and observations, stored in a local JSONL file you can query and edit. Official MCP reference implementation.

GitHub's official MCP server: lets agents read and write repositories and code, manage issues and pull requests, and check Actions workflows and code-scanning alerts. Use the hosted remote server or run it locally in Docker; needs a personal access token or OAuth.

Cloudflare's official remote MCP servers: manage Workers and bindings such as KV, R2 and D1, and query logs and observability, builds, DNS analytics and Radar data. Authorizes with Cloudflare OAuth; some features need a paid plan.

Provides a sequential_thinking tool that guides the model to break complex problems into revisable, branching steps. Good for planning, analysis and tasks that need careful iteration. Official MCP reference server.

Official PaddleOCR MCP: text recognition and layout parsing for images and PDFs (PP-OCR, PP-StructureV3, PaddleOCR-VL), returning text or Markdown. Runs inference locally, or calls the official API or a self-hosted service.

MCP server built into the adaptive Python scraping framework Scrapling: supports plain HTTP requests, browser rendering and stealth fetching, and uses CSS selectors to pass only the target content to the AI, saving tokens and filtering out prompt injection.

Browser automation MCP server open-sourced by ByteDance in the UI-TARS-desktop repo: drives pages through Puppeteer accessibility data with an optional vision mode, running locally over stdio or remotely over SSE or Streamable HTTP.

Lets agents create and edit draw.io diagrams such as flowcharts and architecture diagrams in plain language, with live browser preview, version history and export to .drawio, PNG or SVG. Includes an embedded server; runs locally with no API key.

Trading research agent from HKU's HKUDS whose MCP server offers 70+ tools for quotes, financials, backtesting and research across A-shares, Hong Kong and US stocks and crypto. Needs local Python; HK, US and crypto research need no API key. For research only; not investment advice.

Runs the cognee memory engine as an MCP server whose remember, recall and forget tools write documents and conversations into a knowledge graph and vector store for cross-session retrieval. Start it with Docker or uv first; needs an LLM API key by default, or connect to Cognee Cloud.

Writes conversations and business data into Graphiti's temporal knowledge graph so agents can retrieve long-term memory by entity, fact and time. Open source from Zep; start FalkorDB or Neo4j and the server with Docker first, and configure an LLM API key.

Connects to the Arize Phoenix observability platform so agents can query LLM traces and sessions, manage prompts, browse datasets and read experiment evaluation results. Maintained by Arize; needs a self-hosted or cloud Phoenix instance.

Lets agents run terminal commands on your machine, manage long-running processes, and read, write, search and diff-edit files. Extends the official Filesystem server; collects pseudonymized telemetry by default (no file contents or command arguments), which you can turn off in config.

Lets agents query AWS bills, cost trends, budgets and spending anomalies, and recommends Savings Plans, Reserved Instances and rightsizing. Maintained by AWS; requires AWS credentials.

Official AWS MCP that searches and reads AWS documentation, converts it to Markdown for agents to cite, and suggests related pages. No AWS credentials needed; requires uv.

Official AWS MCP for managing FHIR health data in AWS HealthLake: CRUD, advanced search, full patient records, and import and export, with a read-only mode to prevent changes. Needs an AWS account, a paid HealthLake data store and local AWS credentials; clinical conclusions need professional review.

Official AWS MCP that validates CloudFormation templates for syntax and security compliance, diagnoses deployment failures, and searches CloudFormation and CDK docs, code samples and best practices. Replaces the deprecated Cloud Control API server; needs AWS credentials.

Official AWS MCP that queries CloudWatch metrics, alarms and logs, analyzes log anomaly patterns and recommends alarm settings, helping agents with root cause analysis. Requires AWS credentials.

Official AWS MCP to create and manage EKS clusters, deploy apps, manage Kubernetes resources, and read pod logs and events for troubleshooting. Read-only by default; writes need --allow-write and reading logs needs --allow-sensitive-data-access.

draw.io's official MCP: opens XML, CSV or Mermaid diagrams generated by the agent directly in the draw.io editor, good for flowcharts and architecture diagrams. A no-install remote version can also render diagrams inline in the chat.

Lets agents operate Home Assistant: control devices, query state and history, create and debug automations and edit dashboards, with 80+ tools. Community-maintained (unofficial); requires your own Home Assistant instance, and running via uvx needs a long-lived access token.

From Dagger: gives every coding agent an isolated container and Git branch so several agents can work in parallel, and you can view command logs, take over the terminal or discard results anytime. Needs Docker and Git locally; still experimental.

Microsoft's official Azure MCP: one server covering dozens of Azure services, including Storage, Cosmos DB, AKS, App Service, Key Vault and Monitor, so agents can query and manage cloud resources. Sign in to Azure first.