"21 Powerful MCP Servers You Should Know About in 2025"

In 2024, something quietly revolutionary happened: Anthropic launched the Model Context Protocol (MCP)—a new standard that lets AI models natively interact with external tools and data sources.

Fast forward to 2025, and MCP servers have become the nervous system of enterprise AI. From running BigQuery queries to deploying Lambda functions or summarizing Slack threads, AI can now control every layer of your stack — if you can connect the dots.

And that’s the catch.

Managing each MCP server separately means fragmented authentication, schema mismatches, and rate-limiting nightmares. That’s where Cobalt comes in.

As the first MCP-native integration platform, Cobalt gives developers a single, unified API to connect with all 21 of the most important MCP servers in 2025. You focus on building—Cobalt handles the plumbing.

Let’s dive into how Cobalt connects MCP Servers.

Now, let’s explore the 21 MCP servers defining 2025 and how Cobalt makes them work together seamlessly.

1. Data & Storage MCP Servers

Cobalt’s Unified Data Lake connects them all.

PostgreSQL MCP Server (Official)

• Key Features: Schema-aware queries, GDPR masking.
• Cobalt Advantage: Auto-generates Postgres-to-BigQuery pipelines via MCP.

MongoDB Atlas MCP Adapter (Community)

• Key Features: NoSQL-to-MCP mapping.
• Cobalt Use Case: Sync MongoDB with Slack alerts in 3 clicks (no code).

BigQuery MCP Bridge (Google Official)

• Key Features: Petabyte-scale analytics.
• Why Cobalt Users Win: Query BigQuery through Slack, Notion, or Teams.

2. Cloud & Infrastructure MCP Servers

Cobalt orchestrates multi-cloud workflows.

Cloudflare Edge MCP Server (Official)

• Key Features: Edge-AI caching.
• With Cobalt: Deploy Cloudflare Workers via ChatGPT prompts.

AWS Lambda MCP Server (Community)

• Key Features: Serverless cost tracking.
• Cobalt Automation: Trigger Lambda functions from Sentry errors.

Google Cloud Functions MCP (Official)

• Key Features: Microservices orchestration.
• Cobalt + GCP: Auto-scale functions based on BigQuery load.

3. Developer Tools MCP Servers

Cobalt embeds AI into DevOps.

GitHub Copilot MCP (Microsoft Official)

• Key Features: Security flaw detection.
• Cobalt Integration: Auto-generate PRs from Copilot suggestions.

Raygun MCP Connector (Official)

• Key Features: Outage prediction.
• Cobalt Pro Tip: Route Raygun alerts to Teams/Slack with AI summaries.

Sentry MCP Server (Community)

• Key Features: Error clustering.
• Cobalt’s Edge: Sentry + Cobalt fixes bugs before users notice.

4. Content & Search MCP Servers

Cobalt turns AI into your search expert.

Search1API MCP (Official)

• Key Features: Anti-bot crawling.
• Cobalt Hack: Enrich Algolia indices with Search1API data.

Algolia MCP Server (Official)

• Key Features: Neural ranking.
• Cobalt’s Secret: Sync Algolia results with Notion docs automatically.

Google Maps MCP (Official)

• Key Features: Traffic-pattern AI.
• Cobalt Use Case: Uber-like ETAs inside your app (no Maps API expertise).

Notion MCP Adapter (Community)

• Key Features: Task extraction.
• Cobalt Automation: Turn Notion meeting notes into Jira tickets.

5. AI & Memory MCP Servers

Cobalt centralizes AI context.

Qdrant MCP Vector Engine (Official)

• Key Features: GDPR-compliant search.
• Cobalt Unlock: Combine Qdrant with Slack/Teams chat history.

Pinecone MCP Server (Official)

• Key Features: Multi-tenant isolation.
• Cobalt’s Edge: Pinecone + Cobalt = personalized UX without PII risks.

LangChain Memory Hub (Experimental)

• Key Features: Ethical data pruning.
• Cobalt Vision: Audit LangChain memory via Sentry-like dashboards.

6. Productivity MCP Servers

Cobalt supercharges collaboration.

Slack MCP Gateway (Official)

• Key Features: Meeting summaries.
• Cobalt Magic: Slack ↔ Google Drive AI search in 2 steps.

Google Drive MCP Server (Official)

• Key Features: Semantic search.
• Cobalt Pro Tip: Auto-tag Drive files with BigQuery metadata.

Microsoft Teams MCP (Community)

• Key Features: GDPR-safe transcriptions.
• Cobalt Use Case: Teams + Sentry = AI-powered incident retrospectives.

7. System & Utilities MCP Servers

Cobalt brings AI to the command line.

Windows CLI MCP (Community)

• Key Features: Auto-script generation.
• Cobalt’s Security: Audit CLI commands via Sentry MCP.

Linux Terminal MCP (Experimental)

• Key Features: Sandboxed execution.
• Cobalt Integration: Deploy Linux scripts to AWS Lambda via chat.

Final Thoughts: The MCP Era Is Here — Cobalt Makes It Work

AI in 2025 isn’t just about bigger models or faster chips — it’s about seamless orchestration across an ecosystem of tools, services, and memory.

That’s what the Model Context Protocol enables. And that’s exactly what Cobalt unifies.

From DevOps to data lakes, from Slack to Sentry, Cobalt gives developers one integration layer to connect everything that matters — securely, scalably, and MCP-natively.

So if you’re building the next-gen AI product — or just want your internal tools to finally talk to each other — Cobalt is your AI operating system.

Want to build on MCP without the complexity? Book a demo with us or explore Cobalt's developer docs.