# Mcp Servers

> MCP server from bitflower/mcp-servers.

- **Type:** MCP server
- **Install:** `agentstack add mcp-bitflower-mcp-servers`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [bitflower](https://agentstack.voostack.com/s/bitflower)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [bitflower](https://github.com/bitflower)
- **Source:** https://github.com/bitflower/mcp-servers

## Install

```sh
agentstack add mcp-bitflower-mcp-servers
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Model Context Protocol servers

This repository is a collection of *reference implementations* for the [Model Context Protocol](https://modelcontextprotocol.io/) (MCP), as well as references
to community built servers and additional resources.

The servers in this repository showcase the versatility and extensibility of MCP, demonstrating how it can be used to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Each MCP server is implemented with either the [Typescript MCP SDK](https://github.com/modelcontextprotocol/typescript-sdk) or [Python MCP SDK](https://github.com/modelcontextprotocol/python-sdk).

> Note: Lists in this README are maintained in alphabetical order to minimize merge conflicts when adding new items.

## 🌟 Reference Servers

These servers aim to demonstrate MCP features and the TypeScript and Python SDKs.

- **[AWS KB Retrieval](src/aws-kb-retrieval-server)** - Retrieval from AWS Knowledge Base using Bedrock Agent Runtime
- **[Brave Search](src/brave-search)** - Web and local search using Brave's Search API
- **[EverArt](src/everart)** - AI image generation using various models
- **[Everything](src/everything)** - Reference / test server with prompts, resources, and tools
- **[Fetch](src/fetch)** - Web content fetching and conversion for efficient LLM usage
- **[Filesystem](src/filesystem)** - Secure file operations with configurable access controls
- **[Git](src/git)** - Tools to read, search, and manipulate Git repositories
- **[GitHub](src/github)** - Repository management, file operations, and GitHub API integration
- **[GitLab](src/gitlab)** - GitLab API, enabling project management
- **[Google Drive](src/gdrive)** - File access and search capabilities for Google Drive
- **[Google Maps](src/google-maps)** - Location services, directions, and place details
- **[Memory](src/memory)** - Knowledge graph-based persistent memory system
- **[PostgreSQL](src/postgres)** - Read-only database access with schema inspection
- **[Puppeteer](src/puppeteer)** - Browser automation and web scraping
- **[Redis](src/redis)** - Interact with Redis key-value stores
- **[Sentry](src/sentry)** - Retrieving and analyzing issues from Sentry.io
- **[Sequential Thinking](src/sequentialthinking)** - Dynamic and reflective problem-solving through thought sequences
- **[Slack](src/slack)** - Channel management and messaging capabilities
- **[Sqlite](src/sqlite)** - Database interaction and business intelligence capabilities
- **[Time](src/time)** - Time and timezone conversion capabilities

## 🤝 Third-Party Servers

### 🎖️ Official Integrations

Official integrations are maintained by companies building production ready MCP servers for their platforms.

-  **[21st.dev Magic](https://github.com/21st-dev/magic-mcp)** - Create crafted UI components inspired by the best 21st.dev design engineers.
-  **[AgentQL](https://github.com/tinyfish-io/agentql-mcp)** - Enable AI agents to get structured data from unstructured web with [AgentQL](https://www.agentql.com/).
-  **[Apify](https://github.com/apify/actors-mcp-server)** - [Actors MCP Server](https://apify.com/apify/actors-mcp-server): Use 3,000+ pre-built cloud tools to extract data from websites, e-commerce, social media, search engines, maps, and more
-  **[Audiense Insights](https://github.com/AudienseCo/mcp-audiense-insights)** - Marketing insights and audience analysis from [Audiense](https://www.audiense.com/products/audiense-insights) reports, covering demographic, cultural, influencer, and content engagement analysis.
-  **[Axiom](https://github.com/axiomhq/mcp-server-axiom)** - Query and analyze your Axiom logs, traces, and all other event data in natural language
-  **[Bankless Onchain](https://github.com/bankless/onchain-mcp)** - Query Onchain data, like ERC20 tokens, transaction history, smart contract state.
-  **[Browserbase](https://github.com/browserbase/mcp-server-browserbase)** - Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
-  **[Chronulus AI](https://github.com/ChronulusAI/chronulus-mcp)** - Predict anything with Chronulus AI forecasting and prediction agents.
-  **[ClickHouse](https://github.com/ClickHouse/mcp-clickhouse)** - Query your [ClickHouse](https://clickhouse.com/) database server.
-  **[Cloudflare](https://github.com/cloudflare/mcp-server-cloudflare)** - Deploy, configure & interrogate your resources on the Cloudflare developer platform (e.g. Workers/KV/R2/D1)
-  **[Comet Opik](https://github.com/comet-ml/opik-mcp)** - Query and analyze your [Opik](https://github.com/comet-ml/opik) logs, traces, prompts and all other telemtry data from your LLMs in natural language.
-  **[E2B](https://github.com/e2b-dev/mcp-server)** - Run code in secure sandboxes hosted by [E2B](https://e2b.dev)
-  **[EduBase](https://github.com/EduBase/MCP)** - Interact with [EduBase](https://www.edubase.net), a comprehensive e-learning platform with advanced quizzing, exam management, and content organization capabilities
-  **[eSignatures](https://github.com/esignaturescom/mcp-server-esignatures)** - Contract and template management for drafting, reviewing, and sending binding contracts.
-  **[Exa](https://github.com/exa-labs/exa-mcp-server)** - Search Engine made for AIs by [Exa](https://exa.ai)
-  **[Fewsats](https://github.com/Fewsats/fewsats-mcp)** - Enable AI Agents to purchase anything in a secure way using [Fewsats](https://fewsats.com)
-  **[Firecrawl](https://github.com/mendableai/firecrawl-mcp-server)** - Extract web data with [Firecrawl](https://firecrawl.dev)
-  **[Fireproof](https://github.com/fireproof-storage/mcp-database-server)** - Immutable ledger database with live synchronization
-  **[Grafana](https://github.com/grafana/mcp-grafana)** - Search dashboards, investigate incidents and query datasources in your Grafana instance
-  **[Graphlit](https://github.com/graphlit/graphlit-mcp-server)** - Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a searchable [Graphlit](https://www.graphlit.com) project.
- **[IBM wxflows](https://github.com/IBM/wxflows/tree/main/examples/mcp/javascript)** - Tool platform by IBM to build, test and deploy tools for any data source
-  **[ForeverVM](https://github.com/jamsocket/forevervm/tree/main/javascript/mcp-server)** - Run Python in a code sandbox.
-  **[Inkeep](https://github.com/inkeep/mcp-server-python)** - RAG Search over your content powered by [Inkeep](https://inkeep.com)
-  **[Integration App](https://github.com/integration-app/mcp-server)** - Interact with any other SaaS applications on behalf of your customers. 
-  **[JetBrains](https://github.com/JetBrains/mcp-jetbrains)** – Work on your code with JetBrains IDEs
-  **[Kagi Search](https://github.com/kagisearch/kagimcp)** - Search the web using Kagi's search API
-  **[Langfuse Prompt Management](https://github.com/langfuse/mcp-server-langfuse)** - Open-source tool for collaborative editing, versioning, evaluating, and releasing prompts.
-  **[Lingo.dev](https://github.com/lingodotdev/lingo.dev/blob/main/mcp.md)** - Make your AI agent speak every language on the planet, using [Lingo.dev](https://lingo.dev) Localization Engine.
-  **[Meilisearch](https://github.com/meilisearch/meilisearch-mcp)** - Interact & query with Meilisearch (Full-text & semantic search API)
-  **[Metoro](https://github.com/metoro-io/metoro-mcp-server)** - Query and interact with kubernetes environments monitored by Metoro
-  **[Milvus](https://github.com/zilliztech/mcp-server-milvus)** - Search, Query and interact with data in your Milvus Vector Database.
-  **[MotherDuck](https://github.com/motherduckdb/mcp-server-motherduck)** - Query and analyze data with MotherDuck and local DuckDB
-  **[Needle](https://github.com/needle-ai/needle-mcp)** - Production-ready RAG out of the box to search and retrieve data from your own documents.
-  **[Neo4j](https://github.com/neo4j-contrib/mcp-neo4j/)** - Neo4j graph database server (schema + read/write-cypher) and separate graph database backed memory
- **[Neon](https://github.com/neondatabase/mcp-server-neon)** - Interact with the Neon serverless Postgres platform
-  **[Oxylabs](https://github.com/oxylabs/oxylabs-mcp)** - Scrape websites with Oxylabs Web API, supporting dynamic rendering and parsing for structured data extraction.
-  **[Qdrant](https://github.com/qdrant/mcp-server-qdrant/)** - Implement semantic memory layer on top of the Qdrant vector search engine
- **[Raygun](https://github.com/MindscapeHQ/mcp-server-raygun)** - Interact with your crash reporting and real using monitoring data on your Raygun account
-  **[Rember](https://github.com/rember/rember-mcp)** - Create spaced repetition flashcards in [Rember](https://rember.com) to remember anything you learn in your chats
-  **[Riza](https://github.com/riza-io/riza-mcp)** - Arbitrary code execution and tool-use platform for LLMs by [Riza](https://riza.io)
-  [Search1API](https://github.com/fatwang2/search1api-mcp) - One API for Search, Crawling, and Sitemaps
-  **[ScreenshotOne](https://github.com/screenshotone/mcp/)** - Render website screenshots with [ScreenshotOne](https://screenshotone.com/)
-  **[Stripe](https://github.com/stripe/agent-toolkit)** - Interact with Stripe API
-  **[Tavily](https://github.com/tavily-ai/tavily-mcp)** - Search engine for AI agents (search + extract) powered by [Tavily](https://tavily.com/)
-  **[Tinybird](https://github.com/tinybirdco/mcp-tinybird)** - Interact with Tinybird serverless ClickHouse platform
-  **[UnifAI](https://github.com/unifai-network/unifai-mcp-server)** - Dynamically search and call tools using [UnifAI Network](https://unifai.network)
-  **[Verodat](https://github.com/Verodat/verodat-mcp-server)** - Interact with Verodat AI Ready Data platform

### 🌎 Community Servers

A growing set of community-developed and maintained servers demonstrates various applications of MCP across different domains.

> **Note:** Community servers are **untested** and should be used at **your own risk**. They are not affiliated with or endorsed by Anthropic.
> 
- **[Ableton Live](https://github.com/Simon-Kansara/ableton-live-mcp-server)** - an MCP server to control Ableton Live.
- **[AWS S3](https://github.com/aws-samples/sample-mcp-server-s3)** - A sample MCP server for AWS S3 that flexibly fetches objects from S3 such as PDF documents
- **[AWS](https://github.com/rishikavikondala/mcp-server-aws)** - Perform operations on your AWS resources using an LLM
- **[AWS Athena](https://github.com/lishenxydlgzs/aws-athena-mcp)** - A MCP server for AWS Athena to run SQL queries on Glue Catalog
- **[Airtable](https://github.com/domdomegg/airtable-mcp-server)** - Read and write access to [Airtable](https://airtable.com/) databases, with schema inspection.
- **[Airtable](https://github.com/felores/airtable-mcp)** - Airtable Model Context Protocol Server.
- **[AlphaVantage](https://github.com/calvernaz/alphavantage)** - MCP server for stock market data API [AlphaVantage](https://www.alphavantage.co)
- **[Anki](https://github.com/scorzeth/anki-mcp-server)** - An MCP server for interacting with your [Anki](https://apps.ankiweb.net) decks and cards.
- **[Any Chat Completions](https://github.com/pyroprompts/any-chat-completions-mcp)** - Interact with any OpenAI SDK Compatible Chat Completions API like OpenAI, Perplexity, Groq, xAI and many more.
- **[ArangoDB](https://github.com/ravenwits/mcp-server-arangodb)** - MCP Server that provides database interaction capabilities through [ArangoDB](https://arangodb.com/).
- **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
- **[Base Free USDC Transfer](https://github.com/magnetai/mcp-free-usdc-transfer)** - Send USDC on [Base](https://base.org) for free using Claude AI! Built with [Coinbase CDP](https://docs.cdp.coinbase.com/mpc-wallet/docs/welcome).
- **[BigQuery](https://github.com/LucasHild/mcp-server-bigquery)** (by LucasHild) - This server enables LLMs to inspect database schemas and execute queries on BigQuery.
- **[BigQuery](https://github.com/ergut/mcp-bigquery-server)** (by ergut) - Server implementation for Google BigQuery integration that enables direct BigQuery database access and querying capabilities
- **[CFBD API](https://github.com/lenwood/cfbd-mcp-server)** - An MCP server for the [College Football Data API](https://collegefootballdata.com/).
- **[ChatMCP](https://github.com/AI-QL/chat-mcp)** – An Open Source Cross-platform GUI Desktop application compatible with Linux, macOS, and Windows, enabling seamless interaction with MCP servers across dynamically selectable LLMs, by **[AIQL](https://github.com/AI-QL)**
- **[ChatSum](https://github.com/mcpso/mcp-server-chatsum)** - Query and Summarize chat messages with LLM. by [mcpso](https://mcp.so)
- **[Chroma](https://github.com/privetin/chroma)** - Vector database server for semantic document search and metadata filtering, built on Chroma
- **[ClaudePost](https://github.com/ZilongXue/claude-post)** - ClaudePost enables seamless email management for Gmail, offering secure features like email search, reading, and sending.
- **[Cloudinary](https://github.com/felores/cloudinary-mcp-server)** - Cloudinary Model Context Protocol Server to upload media to Cloudinary and get back the media link and details.
- **[code-executor](https://github.com/bazinga012/mcp_code_executor)** - An MCP server that allows LLMs to execute Python code within a specified Conda environment.
- **[code-sandbox-mcp](https://github.com/Automata-Labs-team/code-sandbox-mcp)** - An MCP server to create secure code sandbox environment for executing code within Docker containers.
- **[cognee-mcp](https://github.com/topoteretes/cognee/tree/main/cognee-mcp)** - GraphRAG memory server with customizable ingestion, data processing and search
- **[coin_api_mcp](https://github.com/longmans/coin_api_mcp)** - Provides access to [coinmarketcap](https://coinmarketcap.com/) cryptocurrency data.
- **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
- **[Dappier](https://github.com/DappierAI/dappier-mcp)** - Connect LLMs to real-time, rights-cleared, proprietary data from trusted sources. Access specialized models for Real-Time Web Search, News, Sports, Financial Data, Crypto, and premium publisher content. Explore data models at [marketplace.dappier.com](https://marketplace.dappier.com/marketplace).
- **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution!
- **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
- **[DeepSeek MCP Server](https://github.com/DMontgomery40/deepseek-mcp-server)** - Model Context Protocol server integrating DeepSeek's advanced language models, in addition to [other useful API endpoints](https://github.com/DMontgomery40/deepseek-mcp-server?tab=readme-ov-file#features)
- **[Deepseek_R1](https://github.com/66julienmartin/MCP-server-Deepseek_R1)** - A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)
- **[deepseek-thinker-mcp](https://github.com/ruixingshi/deepseek-thinker-mcp)** - A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server.
- **[Descope](https://github.com/descop

…

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [bitflower](https://github.com/bitflower)
- **Source:** [bitflower/mcp-servers](https://github.com/bitflower/mcp-servers)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-bitflower-mcp-servers
- Seller: https://agentstack.voostack.com/s/bitflower
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.