What this list covers
A coding agent is only as good as the tools it can call. The MCP servers in this list wrap the systems developers use every day: GitHub for issues and pull requests, Git for local history, the JetBrains IDEs for refactoring, Playwright and Chrome DevTools for browser verification, Sentry for production errors, and Docker for reproducible environments. Together they turn a coding agent into a teammate that can actually ship code.
- Read and write repositories through GitHub MCP
- Inspect and refactor code with JetBrains MCP
- Drive a real browser with Playwright and Chrome DevTools
- Track errors with Sentry MCP
- Run reproducible environments with Docker MCP
The full list
40 Model Context Protocol servers, ordered by adoption.
Filesystem MCP
Controlled local file access for AI agents
A reference MCP server that lets assistants read, write, and manage approved local directories with explicit boundaries and safe path handling. It is the canonical example for any agent that needs structured access to a developer machine.
GitHub MCP Server
Repository intelligence inside agent sessions
The official GitHub MCP server exposes repositories, issues, pull requests, code search, and Actions context to coding agents. It is published and maintained by GitHub and is the most widely adopted MCP server in production.
Postgres MCP
Query relational data from agent workflows
Connect AI agents to PostgreSQL with schema inspection, read-only query controls, and concise table context for safer database exploration. The reference implementation also supports restricted write access for migrations.
Playwright MCP
Reliable browser automation for AI agents
A browser automation MCP server built on Playwright. Agents can navigate pages, click elements, fill forms, capture screenshots, and inspect the DOM with deterministic waits and accessibility-aware locators.
Brave Search MCP
Privacy-first web search for agents
Expose Brave Search as tools that any MCP-compatible client can call. Returns web, news, and local results with safe-search controls and rich snippets that agents can summarize without scraping.
Slack MCP
Team messages and channels for assistants
Search channels, summarize threads, and let agents prepare team updates using governed access to Slack workspaces. Supports read-only and scoped-write modes for safe agent behavior.
Google Maps MCP
Places, routes, and geocoding for agents
Give agents access to Google Maps places, directions, geocoding, and elevation data. Useful for travel planning, real estate, logistics, and any workflow that needs structured location context.
Memory MCP
Persistent knowledge graph for agents
A knowledge-graph based memory layer that lets agents remember entities, relationships, and observations across sessions. The canonical implementation uses a local JSON store for zero-config persistence.
Puppeteer MCP
Headless Chrome automation via MCP
A Puppeteer-based MCP server for scraping, screenshotting, and interacting with web pages. A practical alternative to Playwright when teams already standardize on the Puppeteer ecosystem.
Notion MCP
Docs, databases, and wikis for agents
Browse, search, and edit Notion pages and databases through MCP. Ideal for agents that need to read product specs, update docs, or summarize team wikis.
Fetch MCP
HTTP requests with model-friendly output
A simple HTTP fetch MCP server that returns cleaned-up HTML, Markdown, or JSON. It is the recommended tool for agents that need to read a page without a full browser stack.
Git MCP
Read, search, and manipulate local repositories
Expose common Git operations to MCP clients: status, log, diff, blame, branch management, and commit history search. A perfect companion to coding agents that work on local clones.
Sentry MCP
Errors, releases, and stack traces for agents
Surface Sentry issues, releases, and stack traces inside agent sessions so debugging tools can propose fixes against real error context. Read-only by default with optional write scopes.
AWS MCP
S3, Lambda, and CloudWatch for agents
Expose core AWS services to MCP clients: S3 buckets, Lambda functions, CloudWatch logs, and IAM roles. Designed with strict permission scopes for safe agent operations.
Linear MCP
Issues, projects, and cycles inside agents
Connect Linear to MCP clients so agents can read sprint state, summarize project health, and draft issue updates. Supports team-scoped tokens for safe per-workspace access.
Stripe MCP
Customers, invoices, and payments for agents
Expose Stripe customers, invoices, subscriptions, and payment intents to MCP clients with strict, auditable scopes. Perfect for support agents that need billing context without opening the dashboard.
Supabase MCP
Postgres, auth, and edge functions for agents
The official Supabase MCP server exposes database, auth, storage, and edge function tools. Read-only by default with optional write access for migrations and schema introspection.
Chrome DevTools MCP
Inspect and script the live browser
Expose Chrome DevTools Protocol commands through MCP. Agents can capture console output, profile performance, manipulate cookies, and execute JavaScript against a live Chrome instance.
Figma MCP
Design files and components for agents
Connect Figma files, frames, components, and design tokens to MCP clients. Useful for agents that generate UI from design system primitives or summarize visual specifications.
Cloudflare MCP
Workers, KV, and R2 for agents
Expose Cloudflare platform primitives to MCP clients: Workers deployments, KV namespaces, R2 buckets, and D1 databases. A foundation for agents that deploy and operate cloud infrastructure.
SQLite MCP
Local-first SQL for agents
Query local SQLite databases through MCP. A lightweight option for desktop tools, browser extensions, and any agent that needs a zero-setup SQL backend.
JetBrains MCP
IDE-aware tools for coding agents
Bridge JetBrains IDEs to MCP clients with project awareness, refactoring actions, and code intelligence. The companion plugin works with IntelliJ, PyCharm, WebStorm, and GoLand.
MongoDB MCP
Document database access for agents
Query MongoDB collections, run aggregations, and inspect schema through MCP. A practical fit for content platforms, catalogs, and any document-shaped data product.
Jira MCP
Issues, sprints, and boards for agents
Browse and update Jira issues, sprints, and boards from MCP clients. Built for engineering teams that plan, track, and ship work in Jira Cloud.
Discord MCP
Servers, channels, and bots for agents
Read channels, post messages, and manage roles through Discord from MCP clients. A natural fit for community-driven agents and developer operations workflows.
EverArt MCP
AI image generation for agents
Generate images through EverArt from MCP clients. Useful for design agents that need to produce visual assets inline with a conversation or workflow.
Resend MCP
Transactional email for agents
Send transactional emails through Resend from any MCP-compatible client. Useful for agents that need to notify users, send reports, or trigger follow-ups from a workflow.
Redis MCP
Cache, queues, and pub/sub for agents
Read and write Redis keys, manage TTLs, and publish events from MCP clients. Useful for agents that need ephemeral state, rate limiting, or queue coordination.
Confluence MCP
Pages and spaces for agents
Search, read, and edit Confluence pages and spaces from MCP clients. A practical fit for internal documentation, onboarding guides, and engineering handbooks.
Twilio MCP
SMS, voice, and messaging for agents
Send SMS, manage phone numbers, and place voice calls through Twilio from MCP clients. A practical tool for agents that coordinate notifications, alerts, or two-factor flows.
Docker MCP
Container and compose for agents
Manage Docker containers, images, and Compose stacks from MCP clients. A practical primitive for agents that provision services and run side-effect tools.
Salesforce MCP
CRM and pipeline for agents
Read and update Salesforce records, opportunities, and accounts from MCP clients. A foundation for enterprise agents that operate on a CRM-first data model.
Vercel MCP
Deploys, env vars, and projects for agents
Manage Vercel projects, deployments, and environment variables from MCP clients. Useful for agents that ship frontend code and need to coordinate deploys.
Airtable MCP
Bases, tables, and views for agents
Read and update Airtable bases, tables, and views through MCP. A natural fit for ops teams that keep customer, content, or campaign data in Airtable.
Datadog MCP
Metrics, logs, and traces for agents
Surface Datadog metrics, logs, and APM traces inside MCP clients. A foundation for SRE and observability agents that reason about production systems.
HubSpot MCP
CRM contacts, deals, and tickets for agents
Expose HubSpot CRM objects to MCP clients: contacts, companies, deals, and tickets. Useful for sales and support agents that need real customer context.
Obsidian MCP
Notes and vaults for agents
Read and edit Obsidian vaults through MCP. A natural fit for personal knowledge management agents and research workflows built on local Markdown notes.
Kubernetes MCP
Cluster operations for agents
Read and operate Kubernetes resources from MCP clients: pods, deployments, services, and logs. A foundation for platform agents that manage cloud-native workloads.
1Password MCP
Secure secrets for agent workflows
Read and resolve secrets from 1Password vaults through MCP. Designed for agents that need scoped access to credentials, API keys, and infrastructure secrets.
Todoist MCP
Tasks and projects for agents
Create, update, and complete Todoist tasks from MCP clients. A natural fit for personal productivity agents and team coordination workflows.
Frequently asked questions
Which MCP server is best for a coding agent?
The GitHub MCP server is the most widely adopted MCP for coding agents, followed by Filesystem MCP for local code access and Playwright MCP for browser-based verification. Most teams start with GitHub + Filesystem + Playwright.
Do coding agents need a browser MCP?
A browser MCP like Playwright or Chrome DevTools is useful for end-to-end testing, visual verification, and any task that requires interacting with a real web app. It is not strictly required but significantly expands the agent's capabilities.