Axonix Tools
Curated MCP Directory

Find the right MCP server without the noise.

Browse practical, open-source Model Context Protocol servers by category, setup difficulty, publisher, and use case.

522
Servers
15
Categories
474
Official

522 results

Showing 1-24 of 522

PostgreSQL MCP

modelcontextprotocol

Query PostgreSQL databases, inspect schemas, run EXPLAIN plans, and manage tables directly through natural language conversations with your AI assistant. Supports connection pooling and read-only mode for safe production access.

SQLPostgreSQLRelational
beginnerOfficial
86.1k

SQLite MCP

modelcontextprotocol

Lightweight SQLite database exploration and querying. Perfect for local development databases, embedded applications, and quick data analysis without spinning up a full database server or managing network connections.

SQLiteLocalEmbedded
beginnerOfficial
86.1k

Filesystem MCP

modelcontextprotocol

Sandboxed file system access for reading, writing, and organizing files on your local machine. Includes path validation and directory traversal protection to keep your data safe while giving AI controlled file access.

FilesLocalSandbox
beginnerOfficial
86.1k

Git MCP

modelcontextprotocol

Run Git commands through your AI assistant — stage changes, commit, branch, merge, rebase, and inspect history without leaving your chat interface. Wraps common Git operations with safety checks for production repositories.

GitVersion ControlCLI
beginnerOfficial
86.1k

GitHub MCP

modelcontextprotocol

Full GitHub API access through AI — create and review pull requests, manage issues, browse repositories, search code, and trigger workflows. The most essential server for AI-assisted development on GitHub.

GitHubPull RequestsIssues
beginnerOfficial
86.1k

Brave Search MCP

modelcontextprotocol

Real-time web search and local news results powered by the Brave Search API. Returns clean, structured results that AI can parse and summarize. No API key required for basic usage in AI assistant workflows.

SearchWebNews
beginnerOfficial
86.1k

Puppeteer MCP

modelcontextprotocol

Headless browser automation for web scraping, screenshots, PDF generation, and JavaScript rendering. Navigate pages, click elements, extract data, and capture visual snapshots — all through AI instructions for dynamic and interactive web interactions.

BrowserScrapingScreenshots
intermediateOfficial
86.1k

Slack MCP

modelcontextprotocol

Post messages, search conversations, manage channels, and interact with Slack workspaces through AI. Supports threaded replies, file uploads, and user mentions for seamless team communication and collaboration automation.

SlackMessagingTeam
beginnerOfficial
86.1k

Sequential Thinking MCP

modelcontextprotocol

Guides AI through structured, step-by-step reasoning for complex problem-solving. Breaks down problems into sequential thoughts, revises earlier steps when needed, and branches exploration paths — like a whiteboard for AI thinking and debugging.

ReasoningProblem SolvingDebugging
beginnerOfficial
86.1k

AWS MCP

awslabs

Manage AWS infrastructure — EC2 instances, S3 buckets, Lambda functions, CloudWatch logs, and IAM roles. Official Amazon build that gives AI assistants controlled access to your AWS environment for cloud resource management.

AWSCloudEC2
advancedOfficial
9.1k

HexStrike AI MCP

0x4m4

Autonomous cybersecurity tool execution — runs 150-plus security tools for penetration testing, vulnerability scanning, and bug bounty automation. Designed for security researchers who want AI-assisted reconnaissance and automated security assessment workflows.

SecurityPentestingBug Bounty
advanced
8.9k

CodeGraphContext MCP

CodeGraphContext

Indexes your local codebase into a graph database for AI-powered code analysis. Maps relationships between files, functions, classes, and imports — then visualizes the graph so you understand complex codebases at a glance.

Code AnalysisGraphVisualization
intermediate
3.3k

Appwrite MCP

appwrite

Manage Appwrite projects — databases, storage, users, functions, and authentication. Full backend management through AI for the open-source BaaS platform. Great for rapid prototyping and backend-as-a-service workflows.

AppwriteBaaSBackend
beginnerOfficial

ArangoDB MCP

arangodb

Multi-model database interactions for graph, document, and key-value queries. Query AQL, manage collections, and inspect graph relationships through AI-assisted database exploration across three data models.

ArangoDBMulti-ModelGraph
intermediateOfficial

BigQuery MCP

GoogleCloudPlatform

Run SQL queries on Google BigQuery, inspect datasets and tables, and analyze large-scale data warehouses through natural language. Built for data analysts and engineers working with petabyte-scale data.

BigQueryGoogle CloudData Warehouse
intermediateOfficial

Cassandra MCP

datastax

Query Apache Cassandra and ScyllaDB clusters — run CQL queries, inspect keyspaces and tables, manage indexes, and monitor cluster health. Designed for high-scale, distributed NoSQL workloads with tunable consistency.

CassandraNoSQLCQL
advancedOfficial

Chroma MCP

chroma-core

Open-source embedding database for AI applications. Create collections, add documents with embeddings, and run semantic similarity searches. Purpose-built for RAG pipelines and LLM memory with automatic embedding management.

ChromaVector DBEmbeddings
beginnerOfficial

ClickHouse MCP

ClickHouse

Query ClickHouse databases for real-time analytics on large datasets. Designed for teams running OLAP workloads, event analytics, and time-series data at scale with columnar storage and vectorized execution.

ClickHouseAnalyticsOLAP
intermediateOfficial

CockroachDB MCP

cockroachdb

Manage CockroachDB clusters — run SQL queries, inspect database schemas, manage user permissions, and monitor distributed database health. Built for resilient, multi-region PostgreSQL-compatible deployments with automatic survivability.

CockroachDBPostgreSQLDistributed
advancedOfficial

Couchbase MCP

couchbase

Interact with Couchbase NoSQL databases — query documents, manage buckets, create indexes, and monitor cluster health. Supports N1QL queries through AI-assistant interaction for modern application backends.

CouchbaseNoSQLDocument
intermediateOfficial

Databricks MCP

databricks

Query Databricks SQL warehouses, explore Unity Catalog metadata, and run Spark SQL queries. Bridges the data lakehouse with AI-assisted analytics for data engineers and scientists working with big data infrastructure.

DatabricksSparkLakehouse
advancedOfficial

Cloudflare D1 MCP

cloudflare

Manage Cloudflare D1 serverless SQL databases — create databases, execute queries, run migrations, and inspect tables. Combines edge computing with SQLite-based persistence for globally distributed data access.

CloudflareD1SQLite
intermediateOfficial

Drizzle ORM MCP

drizzle-team

Generate and run Drizzle ORM schema migrations, manage database relationships, and introspect existing databases. Streamlines TypeScript database workflows with AI-guided schema design for modern web applications.

DrizzleORMTypeScript
intermediateOfficial

DuckDB MCP

duckdb

In-process analytical SQL database for data analysis. Query CSV, Parquet, and JSON files directly using SQL without loading them into a separate database. Perfect for data scientists and analysts doing local data exploration.

DuckDBAnalyticsSQL
beginnerOfficial

What MCP solves

MCP gives AI assistants one shared way to connect with databases, repositories, APIs, files, and internal tools without rebuilding every integration from scratch.

Local-first by default

Most servers run as local processes through stdio, so credentials and private data can stay on the user's machine unless a remote service is explicitly involved.

Built for workflow depth

The useful servers expose clear tools, resources, and prompts so the assistant can inspect context, take action, and return structured results.

Pick the connector before the workflow breaks

MCP is useful when the server does one job well.

The best MCP servers are boring in the right way: clear setup, narrow permissions, predictable tool names, and docs that tell you what happens to your data. That is what this page is meant to help you spot before you wire a server into Claude, Cursor, VS Code, or a local agent stack.

Search by the thing you need the assistant to touch first. Repository? Start with version control. Customer data? Look at database servers and read the auth notes twice. Browser task? Prefer automation servers that expose screenshots, navigation, and extraction as separate actions.

A quick pre-install check

1

Confirm the transport

Most desktop workflows use stdio. Remote HTTP servers are better for shared team infrastructure, but they need tighter auth and logging.

2

Read the tool list

Good servers expose small, named actions. Vague tools like “run anything” are powerful, but risky.

3

Check credential handling

Look for environment variable examples, scoped API keys, and a clear story for secrets.

4

Test with a throwaway task

Before connecting production data, ask the assistant to perform a harmless read-only action and inspect the result.

Common MCP paths people search for

Claude Desktop MCP server setup
Cursor MCP servers for coding
GitHub MCP server for repositories
Postgres and Supabase MCP connectors
Browser automation MCP server
File system MCP server permissions
Remote MCP server vs local stdio
Open-source MCP tools directory

Where MCP shines

Use MCP when the assistant needs live context: read a repo, query a database, inspect a ticket, fetch docs, or drive a browser. For one-off text generation, you probably do not need a server at all.