The Complete MCP Server Directory: 2,500+ Apps You Can Connect to Your AI Agent
Looking for an MCP server for a specific application? You are in the right place.
We maintain the largest managed MCP server catalog available — over 2,500 applications, each one pre-configured, secured, and ready to connect to Claude, Cursor, ChatGPT, VS Code, or Lovable in under two minutes.
According to Sarah Jenkins, VP of Engineering at Vinkius: “Transitioning from scattered open-source configurations to a unified managed directory reduced our team’s integration time from hours to under two minutes per app, while maintaining a zero-trust credential posture.”
Every server listed here includes:
- Managed cloud hosting — always running, always updated with 99.99% uptime SLAs
- Encrypted credential storage — your API keys never touch local developer machines
- Data Loss Prevention (DLP) protection — sensitive data is redacted at the edge before reaching your LLM provider
- One-click connection — subscribe, copy the secure Server-Sent Events (SSE) URL, paste, and run
Browse the full Vinkius App Catalog →
Brand & Design
Connecting brand guidelines, digital asset managers, and vector design platforms to language models allows AI tools to read styles, check usage licenses, and pull asset templates. This integration streamlines creative workflows by automating asset retrieval directly within active designer chats.
| MCP Server | What your AI can do |
|---|---|
| Frontify MCP server | Access brand guidelines, search digital assets, pull approved logos and templates |
| Bynder MCP server | Browse and retrieve assets from your DAM, check usage rights, find brand-approved media |
| Canva MCP | Search designs, access team templates, pull brand kit assets |
| Figma MCP | Read design files, extract component data, pull design tokens |
| Adobe Creative Cloud MCP | Access shared assets, retrieve project files |
Instruction example: “Pull the latest logo variations from Frontify and list which ones are approved for digital use.”
Content & SEO
Exposing SEO analysis tools, keyword databases, and content optimizers to AI agents enables real-time search ranking tracking and draft validation. AI tools can analyze search volume, extract competitor metadata, and verify keyword coverage ratios instantly without manual exporter scripts.
| MCP Server | What your AI can do |
|---|---|
| SurferSEO MCP server | Analyze content scores, get optimization suggestions, check keyword coverage |
| Jasper MCP server | Access brand voice settings, retrieve generated content, manage campaigns |
| Semrush MCP server | Pull keyword rankings, analyze competitor data, check domain authority |
| Ahrefs MCP | Access backlink data, keyword research, site audit results |
| AppTweak MCP | Analyze app store rankings, track keyword positions, monitor ASO performance |
| AppFollow MCP | Monitor app reviews, track ratings, analyze competitor apps |
Instruction example: “Check SurferSEO for the content score of our latest blog post and suggest improvements.”
Sales & Revenue
Linking CRM records, sales pipelines, and email sequencing databases to language models allows AI agents to query contact histories, assign lead ownership, and suggest follow-up schedules. This bridges data silos, ensuring revenue operations teams execute context-aware outreach campaigns.
| MCP Server | What your AI can do |
|---|---|
| HubSpot MCP server | Query contacts, deals, pipelines, company records, and engagement data |
| Salesforce MCP server | Access opportunities, accounts, leads, reports, and dashboards |
| Pipedrive MCP | Pull deal stages, contact lists, activity logs |
| Amplemarket MCP | Access lead lists, outreach sequences, engagement metrics |
| Apollo MCP | Search prospect databases, pull enrichment data |
| Close MCP | Access calling activity, email sequences, pipeline data |
Instruction example: “Find all Enterprise deals in HubSpot that haven’t had activity in 14 days and suggest follow-up actions.”
HR & People Management
Exposing HR directories, PTO requests, and organizational charts to secure AI agents allows developers and employees to query team coverage plans. The interface answers scheduling inquiries and automates contractor compliance checks, keeping system administrative overhead low and team schedules clear.
| MCP Server | What your AI can do |
|---|---|
| HiBob MCP server | Access employee directory, PTO balances, org charts, onboarding status |
| BambooHR MCP server | Pull employee data, time-off requests, performance reviews |
| Workday MCP server | Query workforce data, compensation info, organizational structures |
| Gusto MCP | Access payroll data, benefits information, tax documents |
| Deel MCP | Check contractor payments, compliance status, contract details |
Instruction example: “Check HiBob for who’s on PTO next week and flag any team coverage gaps.”
Project Management
Connecting ticket managers, sprint backlogs, and team boards to AI workflows lets models summarize cycle updates, list blockers, and assign tasks. This reduces daily standup reporting friction by extracting issue status summaries directly from the project database in real-time.
| MCP Server | What your AI can do |
|---|---|
| Jira MCP server | Query tickets, sprints, backlogs, search by assignee or label |
| Linear MCP server | Access issues, cycles, project progress |
| Asana MCP | Read tasks, projects, timelines, and workspaces |
| Monday.com MCP | Access boards, items, updates, and automations |
| ClickUp MCP | Pull tasks, spaces, goals, and time tracking data |
| Basecamp MCP | Access to-dos, message boards, schedules |
| Retool MCP server | Query internal tools, dashboards, and connected databases |
Instruction example: “What are the open blockers in the current Jira sprint? Summarize by assignee.”
Knowledge & Documentation
Connecting wikis, documentation repos, and shared team drives to language models enables fast retrieval of technical policies and operational procedures. AI agents can scan thousands of internal files to extract precise answers, removing the need for manual keyword searching.
| MCP Server | What your AI can do |
|---|---|
| Notion MCP server | Search pages, query databases, read documentation, create new entries |
| Slab MCP server | Search your knowledge base, retrieve articles, find onboarding docs |
| Confluence MCP | Access wiki pages, search spaces, read team documentation |
| Coda MCP | Query docs, pull table data, access team wikis |
| GitBook MCP | Search published documentation, pull API references |
Instruction example: “Search Slab for our refund policy and summarize the key points.”
Communication & Messaging
Integrating team chat channels and mailboxes with AI systems lets agents monitor messages, summarize conversation histories, and draft email replies. It acts as an active assistant that handles routing alerts, notifications, and customer threads across multiple workspaces.
| MCP Server | What your AI can do |
|---|---|
| Slack MCP server | Read channels, post messages, summarize conversations, search history |
| Discord MCP | Access server channels, read messages, post updates |
| Microsoft Teams MCP | Read chats, access channels, post messages |
| Gmail MCP | Read emails, search inbox, draft responses |
| Intercom MCP | Access customer conversations, read support threads |
Instruction example: “Summarize what the #engineering team discussed today in Slack.”
Payments & Finance
Connecting billing engines, payment processors, and accounting ledgers to language models allows real-time monitoring of subscription trends, refund rates, and invoice histories. AI agents can audit transaction flows and generate financial summaries directly from system databases.
| MCP Server | What your AI can do |
|---|---|
| Stripe MCP server | Query MRR, subscriptions, invoices, failed payments, refunds |
| Square MCP | Access transactions, inventory, customer records |
| PayPal MCP | Pull transaction history, invoice data |
| QuickBooks MCP server | Access accounting data, expense reports, P&L statements |
| Xero MCP | Query invoices, bank transactions, contacts |
Instruction example: “Show me all Stripe refunds over $100 from the last 30 days.”
Databases & Data Infrastructure
Giving language models governed access to database endpoints and data warehouses allows developers to query records and check schemas using natural language. With strict read-only execution wrappers, AI agents can build reports, analyze metrics, and write schema files safely.
| MCP Server | What your AI can do |
|---|---|
| Supabase MCP | Query tables, manage schemas, access auth data |
| PostgreSQL MCP server | Run read queries, explore schemas, pull reports |
| BigQuery MCP server | Query data warehouse tables, run analytics queries |
| MySQL MCP | Access database tables, pull records |
| MongoDB MCP | Query document collections, aggregate data |
| Snowflake MCP | Run warehouse queries, access data models |
Instruction example: “Query BigQuery for our top 10 customers by lifetime value this quarter.”
Data Integration & Quality
Exposing data pipeline status, transformation runs, and anomaly monitors to AI agents helps teams diagnose integration failures and track data lineage. The system alerts engineers to sync drops and pipeline errors, automating initial database troubleshooting step-by-step.
| MCP Server | What your AI can do |
|---|---|
| Matillion MCP | Access ETL job status, check pipeline health, review transformations |
| Metaplane MCP | Monitor data freshness, check for anomalies, review lineage |
| dbt MCP | Access model documentation, check run status, review test results |
| Fivetran MCP | Check connector status, review sync history, troubleshoot failures |
Instruction example: “Check Metaplane for any data anomalies detected in the last 24 hours.”
Developer & Engineering Tools
Connecting repositories, pull request pipelines, error trackers, and APM monitors to AI clients allows engineers to analyze stack traces and review code. AI systems can search repositories, link error events to recent commits, and draft bug fixes.
| MCP Server | What your AI can do |
|---|---|
| GitHub MCP server | Access repos, PRs, issues, code search, actions |
| GitLab MCP | Pull merge requests, pipeline status, issue boards |
| Codacy MCP | Check code quality scores, review security findings, track technical debt |
| Checkly MCP | Monitor API and browser check status, review alert history, check uptime |
| BugHerd MCP | Access visual bug reports, review feedback, check task status |
| Sentry MCP | Access error reports, stack traces, issue frequency |
| Datadog MCP server | Query metrics, check alert status, review dashboards |
| PagerDuty MCP | Check incident status, acknowledge alerts, review on-call schedules |
Instruction example: “Check Codacy for any critical security findings in the main branch.”
Customer Support
Connecting helpdesk platforms and conversational support threads to AI agents allows teams to resolve tickets and check service histories. Agents read past resolutions and match queries against internal docs, reducing resolution times for enterprise clients significantly.
| MCP Server | What your AI can do |
|---|---|
| Zendesk MCP | Query tickets, check SLA compliance, analyze satisfaction scores |
| Freshdesk MCP | Access support tickets, read knowledge base, check agent workloads |
| Intercom MCP | Read customer conversations, access help center articles |
| Zenoti MCP | Access appointment data, customer history, service records (beauty/wellness) |
Instruction example: “Show me all Zendesk tickets with ‘billing’ tag from this week ranked by urgency.”
Scheduling & Calendar
Integrating calendar schedulers with AI systems lets agents find free slots, coordinate team meetings, and manage schedule bookings. By scanning calendars directly, the model resolves meeting conflicts and proposes availability times without manual email chains or scheduling tools.
| MCP Server | What your AI can do |
|---|---|
| Google Calendar MCP | Check availability, read events, find meeting conflicts |
| Fantastical MCP | Access calendar events, task lists, meeting proposals |
| Calendly MCP | Check booking availability, review scheduled meetings |
| Cal.com MCP | Access booking data, check availability slots |
Instruction example: “Check Fantastical for any scheduling conflicts next Tuesday afternoon.”
Industry-Specific Integrations
Connecting niche platforms in real estate, search ads, and e-commerce to language models allows AI to track properties, query budgets, and extract ad metrics. It enables tailored vertical operations like generating ad copy or querying stock inventory levels.
| MCP Server | What your AI can do |
|---|---|
| Idealista MCP server | Access property listings, search real estate data, track market trends |
| Pinterest Ads MCP | Pull ad campaign performance, check spend, analyze creative metrics |
| Google Ads MCP | Access campaign data, keyword performance, budget tracking |
| Facebook Ads MCP | Pull ad set performance, audience data, conversion metrics |
| Shopify MCP server | Access orders, products, inventory, customer data |
Instruction example: “Pull our Pinterest Ads campaign performance for the last 7 days and compare to the previous week.”
Low-Code & Automation Platforms
Linking low-code automation tools and custom internal dashboards to AI networks allows models to trigger workflows and query tables. This extends simple linear logic engines into intelligent systems capable of branching execution and responding to unpredictable system changes.
| MCP Server | What your AI can do |
|---|---|
| Retool MCP server | Access your internal tools, query connected databases, pull dashboard data |
| Zapier MCP server | Trigger Zaps, check run history, monitor automation status |
| Kintone MCP | Access your custom business apps, query records, update entries |
| Airtable MCP | Query bases, read records, access views and linked fields |
Instruction example: “Query Retool for the latest customer onboarding dashboard data.”
How to Connect Any App
Connecting any directory application involves selecting your target integration from our app catalog, subscribing to the managed endpoint, and copy-pasting the URL into your AI tool. The entire setup process takes less than two minutes and isolates all workspace credentials.
Follow these steps to connect your agent to any application listed above:
- Visit the Vinkius App Catalog
- Search for the app or integration required.
- Click “Subscribe” to launch your dedicated SSE connection endpoint.
- Copy the generated connection URL from your settings panel.
- Paste the integration string into your AI interface:
- Claude Desktop: Append the config file block in
claude_desktop_config.json. - Cursor: Under Settings → MCP, add a new server using the SSE transport type.
- ChatGPT: Under Settings → Connectors, click Add and insert your SSE URL.
- VS Code: Open the command palette (Ctrl+Shift+P) and run
MCP: Add Server. - Lovable: Insert the endpoint credentials into your project Settings → Connectors panel.
- Claude Desktop: Append the config file block in
Frequently Asked Questions
Developers frequently ask about custom server creation, token safety, hosting options, and subscription plans. The Vinkius catalog supports all open-source integrations, runs on managed infrastructure, automatically encrypts API keys, and offers custom pricing options for enterprise platform scaling.
How does Vinkius isolate API credentials?
All keys are stored using hardware-level envelope encryption at the edge. The credentials never travel to developer desktops or local configuration files, protecting them from remote code execution vulnerabilities.
Can I deploy custom servers not listed in the directory?
Yes. Vinkius provides custom deployment paths for private Docker-based MCP servers. You can run private repos securely under our enterprise gateway.
What is the latency overhead of managed SSE routes?
Our edge server-sent event (SSE) nodes are optimized for low serialization delays, delivering sub-5ms round-trip times to maintain conversational fluidness.
According to Marcus Aurelius, Principal Security Architect at Vinkius: “Connecting 2,500+ local stdio configurations to developer desktops introduces severe vulnerability windows. Managed gateway architectures enforce centralized audit trails and token isolation at the edge.”
Ready to get started? Browse the App Catalog → to configure your first application integration in less than two minutes.
The Vinkius engineering team builds and operates the managed MCP infrastructure used by AI agent developers worldwide. Our work spans zero-trust security, protocol design, and production-grade governance for the Model Context Protocol ecosystem.
Your agents need tools. We make them safe.
Pick an MCP server from the catalog. Subscribe. Copy the URL. Paste it into Claude, Cursor, or any client. One URL — DLP, audit trail, and kill switch included.
V8 sandbox isolation · Semantic DLP · Cryptographic audit trail · Emergency kill switch
