Mempool.space
by alexandresanlim
Access real-time Bitcoin data, transaction details, and mining stats via the Mempool.space API for developers and trader
What it does
Provides real-time Bitcoin blockchain data through mempool.space APIs, including transaction details, block information, address balances, and network statistics.
About
Mempool.space is a community-built MCP server published by alexandresanlim that provides AI assistants with tools and capabilities via the Model Context Protocol. Access real-time Bitcoin data, transaction details, and mining stats via the Mempool.space API for developers and trader It is categorized under finance, analytics data. This server exposes 31 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install Mempool.space in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport. This server supports remote connections over HTTP, so no local installation is required.
License
MIT
Mempool.space is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the Mempool.space MCP server?
- Mempool.space is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Mempool.space?
- This profile displays 66 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments — not star reviews- No comments yet — start the thread.
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Ratings
4.6★★★★★66 reviews- ★★★★★Kwame Reddy· Dec 24, 2024
According to our notes, Mempool.space benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Aarav Garcia· Dec 16, 2024
Useful MCP listing: Mempool.space is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Lucas Abebe· Dec 12, 2024
Mempool.space has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Noor Verma· Dec 8, 2024
Strong directory entry: Mempool.space surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Zaid Gonzalez· Dec 8, 2024
I recommend Mempool.space for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Hassan Perez· Nov 27, 2024
Mempool.space is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Kiara Bansal· Nov 27, 2024
We evaluated Mempool.space against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Hassan Anderson· Nov 19, 2024
According to our notes, Mempool.space benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Lucas Taylor· Nov 7, 2024
Mempool.space is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Lucas Kapoor· Oct 26, 2024
We wired Mempool.space into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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